Batomon Showdown

Ranked meta tiers

Observed-performance tiers within each category · 100+ observations.

Each tile: win % · wins / observations. Previews keep the full category tiers. Understand the denominator and sample limits →

Batomon

All 144 entries →

Observed win % · Observed

S tier: Batomon14

  • Omnichrome
    78.1%507 wins in 649 observations
  • Rigalord
    73.6%106 wins in 144 observations
  • Cosmivore
    71.5%243 wins in 340 observations

3 of 14 shown

A tier: Batomon28

  • Reapra
    53.1%171 wins in 322 observations
  • Gildshell
    52.5%671 wins in 1,278 observations
  • Pompummel
    52.3%325 wins in 622 observations

3 of 28 shown

S 14A 28B 55C 28D 14Unranked 5

Trainers

All 24 entries →

Reported run win % · Observed

S tier: Trainers2

A tier: Trainers5

3 of 5 shown

S 2A 5B 10C 5D 2Unranked 0

Trinkets

All 93 entries →

Observed win % · Observed

S tier: Trinkets9

3 of 9 shown

A tier: Trinkets18

3 of 18 shown

S 9A 18B 37C 18D 9Unranked 2

Pairs

All 100 entries →

Observed win % · Observed

S tier: Pairs10

3 of 10 shown

A tier: Pairs20

3 of 20 shown

S 10A 20B 40C 20D 10Unranked 0

Tier method and observation details

Tiers rank raw observed win percentages within each category, not across categories. S: top 10%; A: next 20%; B: middle 40%; C: next 20%; D: bottom 10%.

Equal raw rates stay together at their midpoint percentile. Some tiers can be empty. The displayed rate rounds to one decimal place.

Entries need at least 100 observations. A category needs at least 5 eligible entries. Other entries stay unranked.

The 100-observation minimum is a display rule, not a statistical reliability threshold.

Search and the tier filter hide entries without new tier assignments. Tiers describe observed performance, not popularity or predicted results.

Window: to .

Each category shows its latest observation date. Other observations in the window can be older. A missing date remains unavailable.

The sample covers 30 calendar days, ranked mode, and Balance 26. Patch attribution is inferred from public profiles.

Entity and pair counts describe repeated round records, including reconstructed terminal boards from public history. Trainer observations count stored public runs with a reported win or loss.

Public profiles do not cover every player. Rarity, round, lineup, player skill, and selection can affect observed rates.

The win percentage divides wins by observations. It describes these matches, not a prediction or a causal effect.

Row counts are not counts of unique players or independent trials. Private Companion matches are not part of this sample.

Trainer wins use the reported public history result, not the player page’s 10-win finish rule. Trainer observations are not offers or picks.

The pair sample contains at most 100 pairs by observation count, not proven causal synergy.

Other windows, modes, rank bands, and round bands are not available.

Comps use a separate public sample. Open Comps.