Team report · Lower league

KREMMELL

Power 42.8 · #21 of 26 on Anchor · Power Rankings

Compare with

All maps Anchor Glory Measure Miracles

Season 01 (this season)Preseason 01 Preseason 00

Losing the most points

2000m 6 gate madness 22% · 26th of 26 · 13 rounds
1000m 1v1 34% · 24th of 26 · 21 rounds
1000m 6 gate madness 39% · 18th of 25 · 14 rounds

Winning the most points

2200m 1v1 62% · 9th of 25 · 11 rounds
2200m 6 gate madness 70% · 5th of 25 · 10 rounds
1800m 1v1 55% · 9th of 25 · 14 rounds

Rounds won by segment

Win % · green above the 50% league average, red below · rank in the league

	1000m	1200m	1400m	1600m	1800m	2000m	2200m
1v1	34% 21r · 24th · 3.8/map	67% 6r · 7th · 0.2/map	33% 3r · 13th · 2.8/map	67% 6r · 5th · 0.0/map	55% 14r · 9th · 2.6/map	50% 6r · 13th · 0.0/map	62% 11r · 9th · 3.3/map
6 gate madness	39% 14r · 18th · 2.5/map	50% 12r · 13th · 3.2/map	20% 5r · 23rd · 0.1/map	50% 6r · 14th · 2.2/map		22% 13r · 26th · 2.7/map	70% 10r · 5th · 1.9/map
12 gate WTA		33% 6r · 17th · 1.0/map			33% 6r · 19th · 1.0/map

Each cell: share of rounds won in that segment (rounds weighted by how often maps reach them), the number of rounds, and how often it comes up per map (Anchor). Grey = fewer than 3 rounds. Blank = that segment isn't on Anchor. Early in a season most cells have few rounds, so the boxes above only use segments with 6+ rounds and rank them with win rates steadied toward 50% — a lucky 4 from 4 won't top the list.

Roster fit · Anchor

The races that come up most on Anchor, most frequent first

Where each core ranks among every Pro League core in that race, from its league times (★ = best on the roster); underneath, its real record there this season. Green = higher in the league, red = lower, Middle = 40–60%. Read down a column to pick who runs it.

KREMMELL

Core	1000m1v1avg 50% · 3.8/map	2200m1v1avg 50% · 3.3/map	1200m6 gate madnessavg 50% · 3.2/map	1400m1v1avg 50% · 2.8/map	2000m6 gate madnessavg 50% · 2.7/map	1800m1v1avg 50% · 2.6/map	1000m6 gate madnessavg 50% · 2.5/map	1600m6 gate madnessavg 50% · 2.2/map	2200m6 gate madnessavg 50% · 1.9/map	1200m12 gate WTAavg 8.3% · 1.0/map
Tyrone Biggums	Bottom 23% won 7/21		Bottom 37% top 3 6/12				Bottom 22% top 3 8/14			Middle won 0/6
Mango Madness		Bottom 31% won 7/11			Middle top 3 4/13	★Top 18%			Middle top 3 6/10
Madness 2				★Top 7%	Bottom 22% top 3 6/13			Top 17% top 3 3/6	Bottom 17% top 3 5/10
Tenebris						Middle won 8/14		★Top 8% top 3 4/6		Bottom 7% won 0/6
Mad Swine			Middle top 3 4/12				Bottom 35% top 3 6/14			Middle won 0/6
Borat			Middle top 3 10/12	Top 12% won 1/3				Top 30%		Middle won 1/6
The Last Hairbender							★Top 34% top 3 4/14			Bottom 31% won 0/6
Biafra					Middle top 3 6/13
Bald Crusader									Middle top 3 7/10
Lucky Left Nut								Middle top 3 4/6		★Top 11% won 1/6
Medulla									Bottom 18%

Cores

Click a heat-map cell to see who ran that segment

Core	Races	Earns the point	Best segment	Needs work
Tyrone Biggums	64	0.9× avg	1200m 1v1 wins 67% (avg 50%) · 6	1000m 1v1 wins 33% (avg 50%) · 21
Mango Madness	52	1.1× avg	1800m 6 gate madness top 3 83% (avg 50%) · 6	2000m 6 gate madness top 3 31% (avg 50%) · 13
Madness 2	46	0.8× avg	1600m 6 gate madness top 3 50% (avg 50%) · 6	1400m 6 gate madness top 3 20% (avg 50%) · 5
Tenebris	38	1.0× avg	1600m 6 gate madness top 3 67% (avg 50%) · 6	1800m 12 gate WTA wins 0.0% (avg 8.3%) · 6
Mad Swine	32	0.7× avg	1000m 6 gate madness top 3 43% (avg 50%) · 14	1200m 6 gate madness top 3 33% (avg 50%) · 12
Borat	32	1.3× avg	1200m 6 gate madness top 3 83% (avg 50%) · 12	1400m 6 gate madness top 3 20% (avg 50%) · 5
The Last Hairbender	20	0.5× avg	1200m 12 gate WTA wins 0.0% (avg 8.3%) · 6	1000m 6 gate madness top 3 29% (avg 50%) · 14
Biafra	19	0.9× avg	2000m 6 gate madness top 3 46% (avg 50%) · 13	1800m 12 gate WTA wins 0.0% (avg 8.3%) · 6
Bald Crusader	16	1.3× avg	2200m 6 gate madness top 3 70% (avg 50%) · 10	1800m 12 gate WTA wins 0.0% (avg 8.3%) · 6
Lucky Left Nut	12	1.4× avg	1200m 12 gate WTA wins 17% (avg 8.3%) · 6	—
Medulla	6	2.0× avg	1800m 12 gate WTA wins 17% (avg 8.3%) · 6	—

Earns the point: how often a core does what wins its team the round — wins the race (1v1, WTA) or finishes top 3 (madness) — against an average entrant (1 in 2 for a 1v1, 1 in 22 for a 22-gate WTA). In big fields only an outright fast time wins, so steady cores that “beat most of the field” can still rarely score there. Best / needs-work segments need 3+ races.

Anchor, round by round

The fixed race order, how often maps get that far, and your win % in that round's segment on Anchor.

11000m 1v1100%34%

21000m 6 gate madness100%39%

31200m 12 gate WTA100%33%

41400m 1v1100%33%

51200m 6 gate madness100%50%

61800m 1v1100%55%

71600m 6 gate madness100%50%

81800m 12 gate WTA100%33%

92200m 1v1100%62%

102000m 6 gate madness100%22%

112200m 6 gate madness100%70%

121000m 1v1100%34%

131000m 6 gate madness100%39%

141400m 1v1100%33%

151200m 6 gate madness100%50%

161800m 1v1100%55%

171600m 6 gate madness100%50%

182200m 1v1100%62%

191000m 1v196%34%

201200m 6 gate madness95%50%

212000m 6 gate madness87%22%

222200m 6 gate madness85%70%

232200m 1v185%62%

241000m 1v184%34%

251400m 1v176%33%

262000m 6 gate madness71%22%

271800m 1v162%55%

281000m 6 gate madness49%39%

292200m 1v136%62%

301200m 6 gate madness22%50%

311600m 6 gate madness16%50%

321200m 1v116%67%

332000m 6 gate madness7%22%

341400m 6 gate madness7%20%

351200m 6 gate madness5%50%

362200m 1v15%62%

A round is one race of a map; whoever wins it gets the point. Win % here is the share of rounds won in each segment this Season 01, with each round weighted by how often maps reach it (most maps end by round 27–30).