Batomon Showdown

Trainers tier list

Observed-performance tiers · 100+ observations.

Reported run win % · wins / observations

S tier: Trainers2

A tier: Trainers5

B tier: Trainers10

  • Masked Man
    26.8%57 wins in 213 observations
  • Painter
    26.7%143 wins in 535 observations
  • Twins
    26.5%145 wins in 547 observations
  • Scavenger
    25.2%73 wins in 290 observations
  • Witch
    24.5%240 wins in 981 observations
  • Treasure Hunter
    23.5%93 wins in 396 observations
  • Redhead
    22.9%51 wins in 223 observations
  • Egg Breeder
    22.8%92 wins in 403 observations
  • Chef
    21.8%54 wins in 248 observations
  • Youngster
    21.8%54 wins in 248 observations

C tier: Trainers5

  • Gentleman
    20.9%32 wins in 153 observations
  • Musician
    19.5%25 wins in 128 observations
  • Burglar
    18.9%54 wins in 286 observations
  • Shopkeeper
    18.7%54 wins in 289 observations
  • Gamer
    15.2%29 wins in 191 observations

D tier: Trainers2

  • Lucky Girl
    15.1%75 wins in 497 observations
  • Smuggler
    12.2%29 wins in 238 observations
Tier method and observation details

Tiers rank raw observed win percentages within this 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 .

The date describes the latest observation for this kind. Other observations in the window can be older.

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

Trainer observations count stored public runs with a reported win or loss. Wins use the reported public history result.

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 the effect of the entity on a result.

The same run can contribute repeated observations. Do not add row counts to estimate unique players, boards, or runs.

The reported run win % is not a 10-win finish rate. The player page uses a separate 10-win finish rule.

Trainer observations are not offers or picks. Offer counts, selection probabilities, and confidence estimates are not available.

Other windows, modes, rank bands, and round bands are not available. Private Companion matches are not part of this sample.

Check observation dates