/ff6_bestiary

Classify bosses, plot all enemies in various metrics, see end-game additions to mobile versions, and text analysis of resistances and locations by class

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Final Fantasy VI

Father and Son Data Party

My son has been playing the old SNES game Final Fantasy VI on iOS. Being one of the truly cherished games from my childhood, we decided to make a fun data project out of it. It's a great way to expose him to data science and programming with a topic he enjoys.

For any RPG one of the best sources of data is its (likely) extensive bestiary. Final Fantasy VI is no exception, upping the enemy count from its predecessors as well as the range of their abilities. The mobile re-releases of the game in the 2010s brought numerous end-game enemy additions for high level players. After searching online we found a pair of text file bestiary guides, one covering only the original SNES enemies and one with the recent mobile version enemy roster. We chose the modern version which would allow us to do some investigation of the newly included baddies.

We did some further work using the Final Fantasy Wiki to label each enemy as a boss or normal encounter. We thought this would allows us to see if we could predict whether or not an enemy was a boss based on their basic character data (see below). In addition to building a basic classification model we also did some exploratory data analysis on the stats for each enemy.

There are various text categories for each enemy as well, such as their location, spells and abilities they're weak against, items to steal or dropped, and their attack animations. These variables could be dummied and investigated in a model, but they also make for a simple dataset ripe for text analysis.

Bestiary Dataset Features

(SNES in parenthesis)

Feature Description Var Type Min Max
Name Mobile version name str Abaddon Zurvan
SNES Name Original SNES name str 1st Class Zone Eater
Location Place encountered str Airship Zozo
Level Level int Yes 99
HP Hit Points int Yes 65,500 (63,000)
MP Magic Points int 0 65,000 (60,000)
Attack Physical Att. Power int Yes 250
Magic Attack Magical Att. Power int 0 100 (55)
Defense Physical Def. Power int 0 255
Magic Defense Magical Def. Power int Yes 255
Evasion Physical Evasion int 0 255 (250)
Magic Evasion Magical Evasion int 0 255 (250)
Speed Speed int Yes 99
Gil Gil won by player int 0 50,000 (30,000)
EXP Experience won int 0 50,000 (14,396)
Steal Items to steal list Air Anchor X-Potion
Drops Items dropped at death list Air Knife Zwill Crossblade
Elemental Immunity Elements immune to list Earth Wind
Weak Against Elements weak vs. list Earth Wind
Absorbs Elements absorbed list Earth Wind
Type Special monster type category N/A Undead
Status Immunity Statuses immune to list Berserk Zombie
Vulnerable To Statuses weak vs. list Berserk Zombie
Inherent Status Default statuses list Berserk Zombie
Other Immunity Ability immunities list Control None
Rage Attack by Gau's Rage str 1000 Needles Wing Snap
Sketch Attacks by Relm's Sketch list Absolute Zero Yawn
Control Attack by Relm's Control str Acid Rain Zombie Fang
Metamorphose Items Metamorphosed into list Angel Ring Viper Darts
MP Kill Kill with MP attack bool False True
Imp Criticals Critical hits as Imp bool False True
Run Difficulty Ease to run from category Easy Can't Run Away
Attack Visual Animation for each attack str Chain Flail Trident

Can We Predict if an Enemy is, Like, a Boss?

In the interest of keeping things simple we ran an out-of-the-box Random Forest classifier as our model.
To get a more robust picture of the model's learning of the dataset we ran the model fifteen times using a random splitting of the dataset each time (70% train, 30% test) to make our predictions. We aggregated the results and report them below.

Class Balance

The total number of enemies in the bestiary is 406. Of these, 110 are classified as being a, or part of a, boss encounter. This gives a 72:27 ratio of normal-to-boss enemies. This imbalance means that our baseline for any model classifying enemies as boss-or-not is ~72%, since if we blindly labeled every single enemy in the bestiary as "not boss" we'd be right 72% of the time.

Category Count
Total Enemies 406
Bosses 110

There are a few steps we can take counteract this inherent imbalance; we'll use only two basic ones here, but they're still effective and smart to utilize. The first method was to stratify the data when we split it, ensuring a proportionate distribution of classes in both the training and testing data. The second was to use a weighted scoring metric which mathematically rewards or diminishes the value of each classification based on the class weights.

Prediction Accuracy

Using the weighted F1 Score, we were able to achieve appreciable success. The average training data F1 score was around 94.55% with the average testing data F1 score slightly below at 92.13%, as expected. Pruning of the trees in the Random Forest helped reduce overfitting to narrow the gap between the two. (If there's a wide gap between your training and testing scores, you're likely overfitting your model). Also as expected, the variance in the training scores for all fifteen predictions was smaller (0.0083) than that for the testing scores (0.0220).

15 Random Runs with All Enemies
Run Train F1 (%) Test F1 (%)
1 94.17 89.75 4.42
2 93.50 92.83 0.67
3 95.85 92.72 3.13
4 94.50 88.99 5.51
5 93.15 94.29 -1.14
6 94.18 88.99 5.19
7 93.17 92.10 1.07
8 95.19 95.92 -0.73
9 94.85 89.48 5.37
10 95.85 93.60 2.25
11 95.50 92.83 2.67
12 94.17 90.57 3.60
13 94.50 91.28 3.22
14 94.45 95.96 -1.51
15 95.13 92.59 2.54
Avg. 94.55 92.13 2.42
Std. 0.0083 0.0220 -.0137
Feature Importance

The most predictive feature in the dataset for determining whether an enemy was a boss or not was (*drumroll emoji*)... Experience Won and Gil Won!

Feature Ranks
Rank Feature Importance
1 Experience 31.51%
2 Gil 22.24%
3 MP 14.38%
4 HP 10.90%
5 Level 5.29%
6 Magic_Attack 5.25%
7 Speed 2.58%
8 Attack 1.98%
9 Defense 1.36%
10 Evasion 1.34%
11 Dragon_Den 1.02%
12 Magic_Defense 0.93%
13 iOS 0.72%
14 Magic_Evasion 0.49%

This is somewhat surprising initially because our first hunch was that the characteristics of the bosses, such as their magic attack or physical defense or evasion would separate them from normal enemies. But this is where understanding the data comes into play.

We must remember that feature importance doesn't tell us whether having more or less of something is important for predicting the target, only that having one of those two characteristics -- high or low in some variable -- is important. A quick glance at the mean values for the experience that bosses give the player when defeated shows the reason why: bosses don't give Experience or Gil!

That's an unexpected finding. Generally speaking, bosses are the toughest enemies in the game at the point in which they're encountered. You'd expect to get the most experience and the most money upon victory. In many RPGs this is the case. In Final Fantasy VI (and, perhaps, in other early-generation Final Fantasies) it isn't. The reward for beating most bosses is, apparently, continuation of the story and a bit of personal satisfaction. Actually, we all know the real purpose of boss fights is getting to hear the decisively awesome boss battle theme. Awwwww yeahhhhh!

Feature Importances for the 14 numerical features in the FF6 bestiary

There is a distinction to make here, however. As mentioned earlier the mobile versions of the game released in the last few years brought about the addition of end-game bosses (and an end-game dungeon). These bosses do give experience. Considering they have no relevance to the story, which is originally what defined a boss battle -- an enemy the player must defeat in order to advance the game's story -- and that they weren't originally included in the game, I think a fair investigation can exclude them from the analysis.

Doing so gives a smaller dataset of only 366 enemies with 96 bosses, and ups the predictive ability of the model since only one of the bosses of those 96 gives experience.

SNES Enemies Only Dataset
Category Count Num. Giving Exp % Giving Exp Num. Giving Gil % Giving Gil
Total Enemies 366 246 67.2% 249 68.0%
Non-Bosses 270 245 90.7% 238 88.1%
Bosses 96 1 1.04% 11 11.4%

With this trimmed, SNES-only dataset we can see why the model latches onto Experience as the biggest predictor for whether an enemy is a boss or not. Over 90% of non-bosses give the player some experience upon being defeated, while only 1% of bosses do (side note: the only boss to give experience is the "Hell's Rider" enemy, the mounted soldier patrolling the wintry peaks above Narshe during Kefka's World of Balance assault). The same goes for Gil as well, with bosses giving none.

The feature importances remain the same as well, with slightly increased Experience importance and zero importance for Dragon Den.

The classification results improve as well, showing that the SNES-only database is slightly easier to make predictions on because of the lack of experience-giving bosses. With a mean test F1 score of 96.87% from fifteen randomized runs, it's clear we can detect whether an enemy would be a boss or not in the original SNES version of Final Fantasy VI.

SNES Enemies Only Mean Predictions

Here are the results from running the model fifteen times with only the SNES enemies list.

Measure Train F1 Test F1
Mean 98.14% 96.87% 1.27
Std. .0047 .0124 -.0076

Visual Investigation

With the results from our model in hand, it is usually fun to do some visual inspection of the features or trends reported above.

Experience as Level Increases

With bosses colored red and non-bosses blue, we see that bosses just don't give experience regardless of how high their level is. As non-bosses become higher in level they give more experience. This plot confirms what our model picked up, as shown in their trend line that climbs rapidly. Bosses would have a flat trend line, of course.

Most predictive feature for bosses is EXP -- they give none

Bosses Have More HP and MP

Referencing the feature importances above, HP and MP are ranked 3rd and 4th, respectively. This makes sense as we'd expect bosses to have more of both statistics since they are meant to be more challenging enemies. Their values in these two stats just happens to vary some, which makes sense, while Experience does not, giving it the stronger predictive power. The mean for the SNES-only population of enemies is marked by dashed lines for both axes. We see an indistinguishable cluster of non-bosses (blue) in the bottom left of the plot, while bosses are distributed at a much higher range of both HP and MP. We will quantify this below.

Bosses tend to be far above the mean in both HP and MP

Bosses Have More HP per Level

To belabor the point, bosses have more health per level as we'd expect from the previous plot. The same is true for MP.

Bosses tend to be higher level and have more HP per level

Bosses Are Average in Other Attributes

We'd think bosses would have higher values in all stats than normal enemies, but this isn't the case. It's only true for HP and MP. Here we look at their Defense and Magic Defense and see no separation at all from non-bosses.

Bosses have average values in def and magic defense

The Probability of Being a Boss

For each enemy in the database the model makes a prediction: is this enemy a boss or not? While the final classification is binary (yes or no), the degree to which the model "believes" in this classification is not. For each enemy the model assigns a probability that they are indeed what the model has classified them as; in other words, the model tells us how confident it is about each enemy being a boss or not.

I thought it would be fun to look at these probabilities to see exactly which enemies the model says are the most "boss-like". Here's a table of the fifteen most probable bosses according to this model (again, after aggregating fifteen randomly selected runs), with a full list in the appendix at the end of this post.

Most Probable Bosses
Rank SNES_Name Actual Boss? Probability Prediction Correct? Location
1 White Drgn Yes 95.64% Boss Yes Cultists' Tower
2 Doom Yes 95.62% Boss Yes Kefka's Tower (Final Battle)
3 Blue Drgn Yes 95.32% Boss Yes Ancient Castle
4 Sleep Yes 95.30% Boss Yes Kefka's Tower (Final Battle)
5 Master Pug Yes 95.28% Boss Yes Cave to Ancient Castle
6 Red Dragon Yes 95.28% Boss Yes Phoenix Cave
7 Storm Drgn Yes 95.26% Boss Yes Mt. Zozo
8 Tiger Yes 95.21% Boss Yes Kefka's Tower (Final Battle)
9 Ice Dragon Yes 95.15% Boss Yes Narshe Cliffs
10 Gold Drgn Yes 95.04% Boss Yes Kefka's Tower
11 Tools Yes 94.85% Boss Yes Kefka's Tower (Final Battle)
12 Inferno Yes 94.80% Boss Yes Kefka's Tower
13 Short Arm Yes 94.61% Boss Yes Kefka's Tower (Final Battle)
14 Striker Yes 94.57% Boss Yes Kefka's Tower
15 Face Yes 94.40% Boss Yes Kefka's Tower (Final Battle)

For fun let's look at the least likely bosses.

Least Probable Bosses
Rank SNES_Name Actual Boss? Probability Prediction Correct? Location
1 Vindr No 3.06% Normal Yes Owzer's Mansion (WoR)
2 Ralph No 3.18% Normal Yes Grass Areas (WoR)
3 Muus No 3.18% Normal Yes Grass Areas (WoR)
4 Maliga No 3.19% Normal Yes Figaro Continent (WoR)
5 Exoray No 3.20% Normal Yes Darril's Tomb (WoR)
6 Wild Cat No 3.22% Normal Yes Owzer's Mansion (WoR)
7 Poppers No 3.22% Normal Yes Umaro's Cave
8 Iron Fist No 3.23% Normal Yes Kohlingen Forest
9 Osprey No 3.23% Normal Yes Southern Continent (WoR)
10 Gigan Toad No 3.24% Normal Yes Southern Continent (WoR)

These results fit well with common sense. Many of the top fifteen probable bosses are dragons or are found in Kefka's Tower, the game's final dungeon. Indeed six of the fifteen most probable are from the final battle itself. Conversely the least likely to be bosses are nearly all random Overworld enemies.

Hypothesis Testing

Hypothesis testing is one way we can determine whether or not two groups or classes -- such as bosses vs. non-bosses -- are mathematically different from each other (in whatever metric we choose). Once analyzed, if they are statistically separated beyond a given threshold, we can say they independent from each other with an certain level of confidence (chosen by us; higher confidence means more difficult threshold to pass). If they are not different enough we can't say that they are actually the same. Instead all we can say is that the two groups are not different enough to rule out that their measurements merely occurred by chance (again, we determine how strict "chance" is here).

As an example if we measured the difference between bosses' Experience given and non-bosses, we'd find that yes, there is clear statistical evidence that they are different groups (one being basically zero, the other in the hundreds or thousands).

Means to an End

(Bold if at least double the other)

Attribute Non-Bosses Mean Bosses Mean Larger X-times Larger
Exp 1,029.4 4.1 Non 251.0x
Gil (No KatanaSoul) * 577.1 53.8 Non 10.7x
HP 2,775.7 19,841 Boss 7.1x
MP 1,392.2 7,101.6 Boss 5.1x
Evasion 10.4 5.8 Non 1.8x
Level 28.6 42.1 Boss 1.4x
Attack 15.6 23 Boss 1.4x
Speed 34.2 42.8 Boss 1.2x
Magic_Attack 10.3 8.8 Non 1.1x
Magic_Evasion 1.85 1.6 Non 1.1x
Defense 112.0 116.4 Boss 1.0x
Magic_Defense 139.3 143.6 Boss 1.0x
Sample Size 272 96 Non (2.8x)

* Only seven bosses give over 100 gil. Only one boss, KatanaSoul, gives appreciable gil. In fact, he gives 30,000 Gil which not only skews the entire category for bosses but is also the single largest purse rewarded by any enemy in the entire SNES game (second highest in the mobile versions). Taking him out, the mean gil given by bosses becomes a paltry 53 gil which is far more representative of the other 95 Bosses.

This breakdown of the means per category between the two classes of enemies gives us great insight into what we could investigate with a hypothesis test. It is not surprising to see the categories of the four largest percentage differences are also the four features the model identified as being most important in predicting whether an enemy is a boss or not. Thus the four features we'd like to test are the four largely different ones, and Evasion because it might be close to being significant as well.

The basic Z-test and t-test make the assumption that our population is normally distributed -- after all, that's what the Z-score and t-score mean: how far our observed sample mean is from the population's/other sample's mean in a normal distribution. So, we need to test to see if our data is normally distributed.

To do this we can use a QQ plot to analyze the residuals of our data. Keeping it simple, we want to see our data follow the straight line which would match the theoretical distribution (i.e. normal distribution in this case) our of data. Since HP and MP are quite similar, I will only use HP.

QQ Plots for Normality

FF6 QQ Plots for important features

Well, that's not a good result. Of the three features that were important for the model, none are normally distributed. The QQ plot is just a visual check but is very instructive in this case. To be fair, we saw above in the scatter plots and % Giving table that Exp and Gil are very much not normally distributed. The QQ plots only confirm this. Defense is also the feature which is "most normal." If the other features were also as close to normality we could do further tests like the Shapiro-Wilk analysis to try to quantify "how normal" they were. But we don't even need to do that as they very clearly are not.

FF6 Histograms for important features

We can still do the Z-test (since we do have over 30 samples and know the standard deviations), but its meaning is left uncertain. If the results say that the mean for Exp for non-bosses is 10σ greater than the mean for bosses, what meaning does that really have when the underlying distribution itself isn't even remotely close to normal? Pushing it farther is beyond the scope of this write-up, so instead we will simply carry out the tests per normal just to get a sense of these categories between bosses and non-bosses for demonstrational purposes.

Z-Scores
Category Boss Z Score (σ)
Exp. -10.04
Gil -7.97
HP 9.08
MP 4.75
Defense -1.59

Pretending these features did come from roughly normal distributions, we'd be able to reject the null hypothesis that bosses and non-bosses have indistinguishable statistics in the four most "important" categories according to our model. Again, intuitively this fits well -- the model deemed these as the most predictive features so it is sensible to see that there are real distinctions between bosses and non-bosses in them. Defense, the one variable whose roughly Gaussian distribution makes this hypothesis test valid, just misses passing our threshold of the 95-percent confidence level (-1.65), meaning we could not say statistically that a boss' defense was different than a non-bosses beyond chance.

To-Do

  1. Parse text features like Location, Steal, or Drop to get the items, rates, etc. for each and dummy those for more insight. I bet immunities scale well with bosses....



Appendix

SNES_Name Actual Boss Probability Prediction Right Prediction?
White Drgn Yes 0.956485 Boss Yes
Doom Yes 0.956232 Boss Yes
Blue Drgn Yes 0.953287 Boss Yes
Sleep Yes 0.953098 Boss Yes
Master Pug Yes 0.952831 Boss Yes
Red Dragon Yes 0.952810 Boss Yes
Storm Drgn Yes 0.952680 Boss Yes
Tiger Yes 0.952158 Boss Yes
Ice Dragon Yes 0.951512 Boss Yes
Gold Drgn Yes 0.950414 Boss Yes
Tools Yes 0.948505 Boss Yes
Inferno Yes 0.948053 Boss Yes
Short Arm Yes 0.946134 Boss Yes
Striker Yes 0.945745 Boss Yes
Face Yes 0.944032 Boss Yes
Phunbaba #3 Yes 0.943571 Boss Yes
Dullahan Yes 0.942945 Boss Yes
Phunbaba #4 Yes 0.942805 Boss Yes
Skull Drgn Yes 0.942409 Boss Yes
Phunbaba Yes 0.941779 Boss Yes
Ultros #3 Yes 0.940362 Boss Yes
Doom Gaze Yes 0.940050 Boss Yes
Hit Yes 0.939855 Boss Yes
Magic Yes 0.936566 Boss Yes
Atma Yes 0.933805 Boss Yes
Hidon Yes 0.932706 Boss Yes
Kefka Yes 0.932470 Boss Yes
Phunbaba #2 Yes 0.931509 Boss Yes
Wrexsoul Yes 0.930727 Boss Yes
Chadarnook Yes 0.929414 Boss Yes
Chadarnook #2 Yes 0.929391 Boss Yes
Umaro Yes 0.927943 Boss Yes
AtmaWeapon Yes 0.927535 Boss Yes
Poltrgeist Yes 0.927480 Boss Yes
SrBehemoth #2 Yes 0.926387 Boss Yes
SrBehemoth Yes 0.920595 Boss Yes
Girl Yes 0.920220 Boss Yes
Tritoch #3 Yes 0.919888 Boss Yes
Number 128 Yes 0.919850 Boss Yes
Moe Yes 0.919292 Boss Yes
Dirt Drgn Yes 0.918232 Boss Yes
Goddess Yes 0.917442 Boss Yes
FlameEater Yes 0.916002 Boss Yes
Tentacle #2 Yes 0.915898 Boss Yes
Larry Yes 0.915078 Boss Yes
Tentacle Yes 0.914851 Boss Yes
Curley Yes 0.913987 Boss Yes
Tritoch #2 Yes 0.913260 Boss Yes
SoulSaver Yes 0.909669 Boss Yes
Tentacle #4 Yes 0.908459 Boss Yes
MissileBay Yes 0.905828 Boss Yes
Tritoch Yes 0.905649 Boss Yes
Tentacle #3 Yes 0.904011 Boss Yes
Chupon #2 Yes 0.900924 Boss Yes
Chupon Yes 0.900552 Boss Yes
Guardian Yes 0.899279 Boss Yes
Ultros Yes 0.898088 Boss Yes
Ultros #2 Yes 0.896964 Boss Yes
Rough Yes 0.894461 Boss Yes
Ultros #4 Yes 0.894097 Boss Yes
Crane #2 Yes 0.892818 Boss Yes
Number 024 Yes 0.891203 Boss Yes
Ifrit Yes 0.888766 Boss Yes
Kefka #2 Yes 0.884097 Boss Yes
Long Arm Yes 0.881370 Boss Yes
Hidonite Yes 0.878668 Boss Yes
Crane Yes 0.877504 Boss Yes
Hidonite #4 Yes 0.874953 Boss Yes
Hidonite #2 Yes 0.874386 Boss Yes
Guardian #2 Yes 0.872717 Boss Yes
Hidonite #3 Yes 0.868432 Boss Yes
Shiva Yes 0.867825 Boss Yes
Left Blade Yes 0.862286 Boss Yes
Siegfried #2 Yes 0.861657 Boss Yes
Pugs Yes 0.845212 Boss Yes
Laser Gun Yes 0.838951 Boss Yes
Head Yes 0.834829 Boss Yes
Air Force Yes 0.826384 Boss Yes
Specter 0 0.824626 Boss No
KatanaSoul Yes 0.810851 Boss Yes
Whelk Yes 0.809127 Boss Yes
GhostTrain Yes 0.802074 Boss Yes
Intangir 0 0.801050 Boss No
Vargas Yes 0.788006 Boss Yes
Whelk Head Yes 0.774232 Boss Yes
MagiMaster Yes 0.756835 Boss Yes
M-TekArmor Yes 0.750494 Boss Yes
Nerapa Yes 0.737887 Boss Yes
Presenter Yes 0.736911 Boss Yes
RightBlade Yes 0.736239 Boss Yes
Speck Yes 0.724175 Boss Yes
Rizopas Yes 0.699169 Boss Yes
Allo Ver 0 0.684843 Boss No
Dadaluma Yes 0.679066 Boss Yes
Ipooh Yes 0.639694 Boss Yes
Naughty 0 0.633450 Boss No
Telstar 0 0.618884 Boss No
Marshal Yes 0.568641 Boss Yes
Siegfried Yes 0.567093 Boss Yes
TunnelArmr Yes 0.566835 Boss Yes
Piranha 0 0.482761 No Yes
Soldier #2 0 0.423284 No Yes
Brachosaur 0 0.414558 No Yes
Land Worm 0 0.411210 No Yes
L.90 Magic 0 0.404199 No Yes
Nohrabbit 0 0.377637 No Yes
Scullion 0 0.358531 No Yes
L.60 Magic 0 0.340282 No Yes
L.80 Magic 0 0.340156 No Yes
L.50 Magic 0 0.327576 No Yes
L.70 Magic 0 0.316479 No Yes
Magic Urn 0 0.299061 No Yes
Dragon 0 0.298808 No Yes
Gigantos 0 0.297205 No Yes
Tyranosaur 0 0.297165 No Yes
L.30 Magic 0 0.291166 No Yes
L.40 Magic 0 0.289285 No Yes
Cadet 0 0.283220 No Yes
L.20 Magic 0 0.283132 No Yes
L.10 Magic 0 0.274864 No Yes
Behemoth 0 0.269365 No Yes
Doberman 0 0.269022 No Yes
Didalos 0 0.268025 No Yes
Leader 0 0.259767 No Yes
Rider Yes 0.251856 No No
EarthGuard 0 0.248088 No Yes
Hoover 0 0.244752 No Yes
Veteran 0 0.243489 No Yes
Templar 0 0.240711 No Yes
Soldier 0 0.235018 No Yes
Cactrot 0 0.229134 No Yes
Mover 0 0.221985 No Yes
Prometheus 0 0.217618 No Yes
Mega Armor 0 0.214704 No Yes
Grunt 0 0.212900 No Yes
Doom Drgn 0 0.210766 No Yes
Peepers 0 0.207570 No Yes
Sp Forces 0 0.206382 No Yes
Zone Eater 0 0.192845 No Yes
Vomammoth 0 0.176938 No Yes
Steroidite 0 0.176694 No Yes
Brontaur 0 0.176499 No Yes
GtBehemoth 0 0.170180 No Yes
HeavyArmor 0 0.163533 No Yes
Mantodea 0 0.157745 No Yes
Dark Force 0 0.155472 No Yes
Fortis 0 0.152340 No Yes
Lethal Wpn 0 0.147822 No Yes
Trixter 0 0.145940 No Yes
Necromancr 0 0.141195 No Yes
Outsider 0 0.140026 No Yes
Goblin 0 0.138056 No Yes
Retainer 0 0.136109 No Yes
Dahling 0 0.134894 No Yes
Crawler 0 0.134885 No Yes
Grenade 0 0.131588 No Yes
Evil Oscar 0 0.129909 No Yes
Vectagoyle 0 0.126831 No Yes
Sky Base 0 0.126471 No Yes
Chaos Drgn 0 0.123935 No Yes
Hemophyte 0 0.119457 No Yes
Aspik 0 0.118851 No Yes
Pug 0 0.114497 No Yes
Mad Oscar 0 0.108689 No Yes
Rhyos 0 0.107101 No Yes
Displayer 0 0.105119 No Yes
Phase 0 0.105027 No Yes
Brainpan 0 0.102843 No Yes
Madam 0 0.102532 No Yes
Black Drgn 0 0.101233 No Yes
Geckorex 0 0.097787 No Yes
Dueller 0 0.096390 No Yes
Opinicus 0 0.095093 No Yes
FossilFang 0 0.094904 No Yes
Allosaurus 0 0.094897 No Yes
Warlock 0 0.093887 No Yes
Borras 0 0.093219 No Yes
Aquila 0 0.089355 No Yes
TumbleWeed 0 0.086053 No Yes
Samurai 0 0.084244 No Yes
Sprinter 0 0.083980 No Yes
Crusher 0 0.083612 No Yes
Uroburos 0 0.083260 No Yes
Lobo 0 0.083017 No Yes
Spek Tor 0 0.081628 No Yes
Still Life 0 0.080982 No Yes
IronHitman 0 0.079793 No Yes
HadesGigas 0 0.079664 No Yes
Parasoul 0 0.078744 No Yes
Reach Frog 0 0.076804 No Yes
Boxed Set 0 0.076108 No Yes
Pterodon 0 0.076019 No Yes
ChickenLip 0 0.075282 No Yes
Nightshade 0 0.074196 No Yes
Chaser 0 0.073190 No Yes
Sky Cap 0 0.072534 No Yes
Over-Mind 0 0.071715 No Yes
Harvester 0 0.071584 No Yes
Ninja 0 0.071427 No Yes
Vectaur 0 0.071297 No Yes
Parasite 0 0.070652 No Yes
Spit Fire 0 0.070560 No Yes
Mag Roader #2 0 0.069588 No Yes
Test Rider 0 0.069105 No Yes
PlutoArmor 0 0.068910 No Yes
Bomb 0 0.068097 No Yes
Ghost 0 0.068014 No Yes
Anguiform 0 0.068003 No Yes
Sky Armor 0 0.067638 No Yes
Chimera 0 0.066827 No Yes
Orog 0 0.065812 No Yes
Pm Stalker 0 0.063962 No Yes
Guard 0 0.062936 No Yes
Spectre 0 0.062709 No Yes
HermitCrab 0 0.062582 No Yes
ProtoArmor 0 0.062444 No Yes
Mag Roader #3 0 0.061996 No Yes
Scorpion 0 0.061475 No Yes
Cruller 0 0.060974 No Yes
Osteosaur 0 0.059527 No Yes
Hazer 0 0.059419 No Yes
Wirey Drgn 0 0.059264 No Yes
PowerDemon 0 0.059185 No Yes
Were-Rat 0 0.059065 No Yes
Bloompire 0 0.059044 No Yes
Gobbler 0 0.058531 No Yes
Zombone 0 0.057317 No Yes
Enuo 0 0.056991 No Yes
Latimeria 0 0.056326 No Yes
Sand Horse 0 0.056161 No Yes
Innoc 0 0.055614 No Yes
Dark Side 0 0.055513 No Yes
Woolly 0 0.054749 No Yes
Covert 0 0.054392 No Yes
Tap Dancer 0 0.054212 No Yes
Wart Puck 0 0.054150 No Yes
Figaliz 0 0.051151 No Yes
Adamanchyt 0 0.049496 No Yes
Toe Cutter 0 0.049348 No Yes
Pan Dora 0 0.048148 No Yes
Ogor 0 0.047425 No Yes
Harpy 0 0.046430 No Yes
Dante 0 0.046291 No Yes
Rhinotaur 0 0.045741 No Yes
Prussian 0 0.045635 No Yes
Karkass 0 0.045020 No Yes
Critic 0 0.044856 No Yes
Repo Man 0 0.044146 No Yes
Rain Man 0 0.044016 No Yes
SoulDancer 0 0.043891 No Yes
Barb-e 0 0.042255 No Yes
Tusker 0 0.042229 No Yes
Sea Flower 0 0.042116 No Yes
Sand Ray 0 0.041879 No Yes
Punisher 0 0.041182 No Yes
Vaporite 0 0.040921 No Yes
Suriander 0 0.040680 No Yes
Misfit 0 0.040589 No Yes
NeckHunter 0 0.040583 No Yes
B.Day Suit 0 0.040286 No Yes
Bleary 0 0.040172 No Yes
Crawly 0 0.039902 No Yes
Leafer 0 0.039794 No Yes
GloomShell 0 0.039641 No Yes
Areneid 0 0.039485 No Yes
Hornet 0 0.039323 No Yes
Fidor 0 0.038872 No Yes
Vermin 0 0.038824 No Yes
Merchant 0 0.038788 No Yes
Slatter 0 0.038727 No Yes
Dark Wind 0 0.038556 No Yes
GreaseMonk 0 0.038168 No Yes
Gold Bear 0 0.037579 No Yes
Buffalax 0 0.037375 No Yes
Rhodox 0 0.037348 No Yes
Ursus 0 0.037269 No Yes
Junk 0 0.036831 No Yes
Exocite 0 0.036805 No Yes
Balloon 0 0.036685 No Yes
Luridan 0 0.036630 No Yes
Nautiloid 0 0.036600 No Yes
Apokryphos 0 0.036367 No Yes
CrassHoppr 0 0.035995 No Yes
Officer 0 0.035746 No Yes
Lich 0 0.035712 No Yes
Cluck 0 0.035675 No Yes
Actaneon 0 0.035647 No Yes
Wizard 0 0.035519 No Yes
Vector Pup 0 0.035478 No Yes
Trilium 0 0.035296 No Yes
Stray Cat 0 0.035245 No Yes
Ing 0 0.035186 No Yes
Red Fang 0 0.035175 No Yes
Deep Eye 0 0.035053 No Yes
1st Class 0 0.035032 No Yes
Bogy 0 0.035026 No Yes
Poplium 0 0.034955 No Yes
Scrapper 0 0.034948 No Yes
Beakor 0 0.034876 No Yes
Coelecite 0 0.034795 No Yes
Harpiai 0 0.034790 No Yes
Over Grunk 0 0.034785 No Yes
Eland 0 0.034767 No Yes
Hipocampus 0 0.034668 No Yes
Wild Rat 0 0.034617 No Yes
Flan 0 0.034463 No Yes
Brawler 0 0.034407 No Yes
Commando 0 0.034361 No Yes
Rhobite 0 0.034350 No Yes
Primordite 0 0.034315 No Yes
Pipsqueak 0 0.034295 No Yes
Trooper 0 0.034293 No Yes
Rinn 0 0.034253 No Yes
Bug 0 0.034186 No Yes
Vulture 0 0.034129 No Yes
Commander 0 0.034110 No Yes
Mind Candy 0 0.034093 No Yes
Iron Fist 0 0.033971 No Yes
Cirpius 0 0.033947 No Yes
Joker 0 0.033837 No Yes
Insecare 0 0.033769 No Yes
Osprey 0 0.033757 No Yes
Lizard 0 0.033739 No Yes
Whisper 0 0.033726 No Yes
Wyvern 0 0.033643 No Yes
Bounty Man 0 0.033454 No Yes
Apparite 0 0.033447 No Yes
Ralph 0 0.033380 No Yes
StillGoing 0 0.033345 No Yes
Mag Roader #4 0 0.033289 No Yes
Slurm 0 0.033252 No Yes
Gabbldegak 0 0.033203 No Yes
Abolisher 0 0.033131 No Yes
Trapper 0 0.033092 No Yes
Garm 0 0.033058 No Yes
Kiwok 0 0.033018 No Yes
Sewer Rat 0 0.033017 No Yes
Ceritops 0 0.032941 No Yes
Mandrake 0 0.032885 No Yes
Rhinox 0 0.032847 No Yes
Cephaler 0 0.032830 No Yes
Mesosaur 0 0.032787 No Yes
Baskervor 0 0.032756 No Yes
WeedFeeder 0 0.032740 No Yes
General 0 0.032627 No Yes
Lunaris 0 0.032595 No Yes
Delta Bug 0 0.032422 No Yes
Chitonid 0 0.032390 No Yes
Mag Roader 0 0.032380 No Yes
Poppers 0 0.032245 No Yes
Nastidon 0 0.032228 No Yes
Tomb Thumb 0 0.032145 No Yes
Red Wolf 0 0.032122 No Yes
Trilobiter 0 0.032074 No Yes
Wild Cat 0 0.032006 No Yes
SlamDancer 0 0.031907 No Yes
Drop 0 0.031773 No Yes
Humpty 0 0.031675 No Yes
Gilomantis 0 0.031628 No Yes
Anemone 0 0.031534 No Yes
Psychot 0 0.031447 No Yes
Muus 0 0.031393 No Yes
Maliga 0 0.031201 No Yes
Vindr 0 0.030892 No Yes
Gigan Toad 0 0.030774 No Yes
Exoray 0 0.030213 No Yes