Great Tusk

Performance Metrics

Great Tusk has a reported usage rate of 26.76% and win rate of 52.37% in OU (Over Used) (displayed tier: A). The report covers 09/26/2026 to 10/10/2026, with 149,280 recorded battles. 41,840 wins and 38,059 losses (79,899 recorded team appearances). Usage is recorded team appearances divided by twice the report battle count; win rate is wins divided by wins plus losses for teams containing this Pokemon. Neither metric measures individual strength. Small samples can produce extreme percentages.

Usage Trends

Usage was 26.95% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=74,640 team slots) and 25.94% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=74,640 team slots), a change of -1.01 percentage points. This endpoint comparison does not describe every intervening period or explain the cause; small samples can fluctuate substantially. Periods without sample counts are excluded. Win rate was 52.38% in the first available period (Period 1: 2026/09/26 23:07–2026/09/30 15:45 JST; n=20,113 recorded appearances) and 52.26% in the last available period (Period 4: 2026/10/07 09:55–2026/10/10 23:05 JST; n=19,360 recorded appearances), a change of -0.12 percentage points. This endpoint comparison does not describe every intervening period or explain the cause; small samples can fluctuate substantially. Periods without sample counts are excluded.

Rating-band Observations

Across 5 available rating bands, usage ranged from 17.60% (~R1084; n=60,196 team slots) to 33.33% (R1398~; n=59,504 team slots), a spread of 15.73 percentage points. Overall usage was 26.76%. Bands use battle-average ratings, not individual player skill. Missing bands are excluded; differences are descriptive, not evidence of statistical significance.

Recorded Moves

Among the returned moves, Headlong Rush has the largest recorded team-use count (22,513; ties may occur). Move counts refer to distinct team appearances with a recorded use by this Pokemon, counting each side once per battle. The displayed percentage divides that count by this Pokemon's distinct recorded team appearances under the same report filters. Both sides of a mirror battle count separately. This is not moveset adoption. Unused moves and missing move records cannot be distinguished here. These data do not establish which move is strongest or underused.

Teammate Observations

In the returned frequent-teammate sample: Gholdengo: 52.2% wins in 25,943 recorded pair observations; Kingambit: 52.8% wins in 22,593 recorded pair observations; Ogerpon-Wellspring: 52.7% wins in 14,561 recorded pair observations. These are team-level outcomes with both Pokemon on the roster, not a measurement of synergy. Other teammates, player selection and small samples can affect these percentages.

Opponent-team Observations

Returned higher-win-rate opponent group: Metagross: 61.2% wins in 953 recorded pair observations; Azumarill: 59.9% wins in 875 recorded pair observations; Milotic: 59.8% wins in 845 recorded pair observations. Returned lower-win-rate opponent group: Cresselia: 45.8% wins in 2,235 recorded pair observations; Ogerpon-Cornerstone: 46.1% wins in 1,225 recorded pair observations; Iron Moth: 47.5% wins in 5,971 recorded pair observations. Wins refer to the team containing the focal Pokemon when the named Pokemon was on the opposing roster. They are not direct one-on-one results or proof of a counter; sample sizes and other team members matter.

Interpretation Limits

These summaries describe the collected battles within the report period. Team composition, player selection, repeated players and incomplete records can affect results. Differences do not establish causation, statistical significance or a recommended build.