Team report · all teams

KREMMELL

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Season 01 (this season)Preseason 01 Preseason 00

Cores

Table Who they field Core vs coreBest matchups1v1 head-to-head

Each core's best 3 races and up to 3 where it's below average (3+ races there). Pick a team in Compare with to unlock best matchups and 1v1 head-to-heads.

Core	Races	Earns the point	Best races	Needs work
Mango Madness	383	0.7× avg	2000m 6 gate madness top 3 57% (avg 50%) · 21 1800m 6 gate madness top 3 50% (avg 50%) · 4	2200m 24 gate madness top 3 0.0% (avg 13%) · 34 1400m 24 gate madness top 3 0.0% (avg 13%) · 12 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 27
Tyrone Biggums	367	1.1× avg	1600m 24 gate madness top 3 75% (avg 13%) · 4 2000m 22 gate WTA wins 15% (avg 4.5%) · 20 1000m 16 gate WTA wins 22% (avg 6.3%) · 9	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1200m 6 gate madness top 3 32% (avg 50%) · 25 1200m 24 gate madness top 3 0.0% (avg 13%) · 5
Borat	339	1.2× avg	1600m 24 gate WTA wins 22% (avg 4.2%) · 27 2000m 22 gate WTA wins 15% (avg 4.5%) · 20 1800m 24 gate madness top 3 24% (avg 13%) · 21	1000m 24 gate madness top 3 0.0% (avg 13%) · 9 1400m 4 gate WTA wins 9.1% (avg 25%) · 11 1600m 4 gate WTA wins 0.0% (avg 25%) · 3
Tenebris	339	0.7× avg	1600m 16 gate WTA wins 13% (avg 6.3%) · 8 1600m 22 gate WTA wins 8.3% (avg 4.5%) · 12 1400m 6 gate WTA wins 21% (avg 17%) · 14	2200m 24 gate madness top 3 0.0% (avg 13%) · 34 1400m 24 gate madness top 3 0.0% (avg 13%) · 12 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 27
Mad Swine	333	1.2× avg	1600m 22 gate WTA wins 25% (avg 4.5%) · 12 1400m 24 gate madness top 3 42% (avg 13%) · 12 1400m 24 gate WTA wins 25% (avg 4.2%) · 8	1000m 24 gate madness top 3 0.0% (avg 13%) · 9 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 20 1200m 4 gate WTA wins 0.0% (avg 25%) · 3
Madness 2	320	1.2× avg	1800m 12 gate WTA wins 43% (avg 8.3%) · 7 1600m 24 gate WTA wins 15% (avg 4.2%) · 27 2000m 22 gate WTA wins 15% (avg 4.5%) · 20	2200m 6 gate madness top 3 14% (avg 50%) · 14 2000m 6 gate madness top 3 29% (avg 50%) · 21 1200m 24 gate madness top 3 0.0% (avg 13%) · 5
Biafra	317	1.0× avg	2200m 24 gate madness top 3 21% (avg 13%) · 34 1800m 24 gate WTA wins 17% (avg 4.2%) · 6 1600m 24 gate madness top 3 25% (avg 13%) · 4	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 20 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 7
Medulla	305	1.0× avg	1200m 24 gate WTA wins 25% (avg 4.2%) · 8 1400m 22 gate WTA wins 20% (avg 4.5%) · 10 1600m 24 gate madness top 3 50% (avg 13%) · 4	2000m 12 gate madness top 3 0.0% (avg 25%) · 6 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 16 2200m 24 gate madness top 3 5.9% (avg 13%) · 34
Bonnie	258	0.5× avg	1200m 22 gate WTA wins 8.3% (avg 4.5%) · 12 1200m 24 gate madness top 3 20% (avg 13%) · 5	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 27 1000m 24 gate madness top 3 0.0% (avg 13%) · 9 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 17
Ten Mangoes	226	0.3× avg	1800m 6 gate madness top 3 67% (avg 50%) · 3	2200m 24 gate madness top 3 0.0% (avg 13%) · 23 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 27 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 17
The Last Hairbender	205	0.8× avg	1000m 22 gate WTA wins 13% (avg 4.5%) · 16 1400m 16 gate WTA wins 12% (avg 6.3%) · 17 1200m 22 gate WTA wins 8.3% (avg 4.5%) · 12	1200m 1v1 wins 0.0% (avg 50%) · 3 1400m 12 gate madness top 3 0.0% (avg 25%) · 3 1200m 24 gate madness top 3 0.0% (avg 13%) · 5
Bald Crusader	119	1.1× avg	2200m 16 gate WTA wins 19% (avg 6.3%) · 16 2200m 6 gate WTA wins 67% (avg 17%) · 3 1800m 24 gate WTA wins 17% (avg 4.2%) · 6	1800m 24 gate madness top 3 0.0% (avg 13%) · 18 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 7 2000m 12 gate madness top 3 17% (avg 25%) · 6
Lucky Left Nut	111	1.6× avg	1200m 22 gate WTA wins 50% (avg 4.5%) · 4 1000m 24 gate madness top 3 67% (avg 13%) · 3 2200m 24 gate madness top 3 27% (avg 13%) · 11	1800m 24 gate madness top 3 0.0% (avg 13%) · 8 1400m 24 gate madness top 3 0.0% (avg 13%) · 4 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 7
Taz’dingo	95	0.2× avg	—	2200m 24 gate madness top 3 4.3% (avg 13%) · 23 1400m 24 gate madness top 3 0.0% (avg 13%) · 8 1000m 24 gate madness top 3 0.0% (avg 13%) · 6
KREMMEL'S CHIKIDZIK🍄	54	0.5× avg	—	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 21 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 7 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 6
Blind Chicken	42	1.0× avg	2000m 22 gate WTA wins 29% (avg 4.5%) · 7 2200m 24 gate madness top 3 20% (avg 13%) · 10	1800m 24 gate madness top 3 0.0% (avg 13%) · 7 1400m 24 gate madness top 3 0.0% (avg 13%) · 4 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 4
Two Rocks and a Big Stick	11	1.7× avg	—	1400m 16 gate WTA wins 0.0% (avg 6.3%) · 4

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.

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 Preseason 00, with each round weighted by how often maps reach it (most maps end by round 27–30).