Team report · Lower league

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	190	0.7× avg	1800m 4 gate WTA wins 38% (avg 25%) · 24 1800m 16 gate WTA wins 14% (avg 6.3%) · 7	2000m 6 gate WTA wins 0.0% (avg 17%) · 36 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 42 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 11
Biafra	181	0.7× avg	1600m 24 gate WTA wins 7.1% (avg 4.2%) · 42 1800m 24 gate WTA wins 10% (avg 4.2%) · 10	1600m 16 gate WTA wins 0.0% (avg 6.3%) · 11 2000m 6 gate WTA wins 11% (avg 17%) · 36 1800m 4 gate WTA wins 17% (avg 25%) · 24
Medulla	178	1.0× avg	1800m 16 gate WTA wins 29% (avg 6.3%) · 7 1200m 24 gate WTA wins 17% (avg 4.2%) · 12 1600m 24 gate WTA wins 9.5% (avg 4.2%) · 42	2200m 4 gate WTA wins 4.8% (avg 25%) · 21 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 11 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 10
Tyrone Biggums	173	1.4× avg	1600m 24 gate WTA wins 14% (avg 4.2%) · 42 1400m 24 gate WTA wins 25% (avg 4.2%) · 12 1200m 24 gate WTA wins 17% (avg 4.2%) · 12	1200m 6 gate WTA wins 10% (avg 17%) · 30 1400m 16 gate WTA wins 4.2% (avg 6.3%) · 24 1000m 4 gate WTA wins 20% (avg 25%) · 25
Mad Swine	166	0.9× avg	1400m 16 gate WTA wins 13% (avg 6.3%) · 24 1000m 16 gate WTA wins 13% (avg 6.3%) · 15 1800m 24 gate WTA wins 10% (avg 4.2%) · 10	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 42 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 11 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 12
Borat	166	1.4× avg	1600m 24 gate WTA wins 9.5% (avg 4.2%) · 42 1600m 16 gate WTA wins 18% (avg 6.3%) · 11 1400m 6 gate WTA wins 25% (avg 17%) · 20	1800m 24 gate WTA wins 0.0% (avg 4.2%) · 10 2200m 24 gate WTA wins 0.0% (avg 4.2%) · 3 1400m 4 gate WTA wins 24% (avg 25%) · 17
Tenebris	165	0.1× avg	—	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 42 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 24 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 24
The Last Hairbender	163	1.2× avg	1400m 16 gate WTA wins 13% (avg 6.3%) · 24 1000m 4 gate WTA wins 36% (avg 25%) · 25 1200m 24 gate WTA wins 8.3% (avg 4.2%) · 12	1400m 24 gate WTA wins 0.0% (avg 4.2%) · 12 1600m 24 gate WTA wins 2.4% (avg 4.2%) · 42 2200m 24 gate WTA wins 0.0% (avg 4.2%) · 3
Madness 2	146	1.1× avg	1400m 6 gate WTA wins 30% (avg 17%) · 20 1600m 16 gate WTA wins 9.1% (avg 6.3%) · 11 1400m 4 gate WTA wins 29% (avg 25%) · 17	1400m 24 gate WTA wins 0.0% (avg 4.2%) · 12 1600m 24 gate WTA wins 2.4% (avg 4.2%) · 42 1800m 16 gate WTA wins 0.0% (avg 6.3%) · 7
Bonnie	132	0.9× avg	1400m 16 gate WTA wins 8.3% (avg 6.3%) · 24 1600m 24 gate WTA wins 4.8% (avg 4.2%) · 42 1000m 16 gate WTA wins 6.7% (avg 6.3%) · 15	1400m 24 gate WTA wins 0.0% (avg 4.2%) · 12 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 12 2200m 16 gate WTA wins 4.2% (avg 6.3%) · 24
Hellscream	130	0.1× avg	—	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 35 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 20 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 12
Two Rocks and a Big Stick	77	0.6× avg	1200m 24 gate WTA wins 10% (avg 4.2%) · 10	1000m 16 gate WTA wins 0.0% (avg 6.3%) · 12 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 10 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 8
Lucky Left Nut	73	1.8× avg	1000m 16 gate WTA wins 27% (avg 6.3%) · 15 1400m 24 gate WTA wins 8.3% (avg 4.2%) · 12 1400m 16 gate WTA wins 8.3% (avg 6.3%) · 24	1200m 24 gate WTA wins 0.0% (avg 4.2%) · 12 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 10
Bald Crusader	44	1.6× avg	2200m 24 gate WTA wins 33% (avg 4.2%) · 3 1800m 24 gate WTA wins 10% (avg 4.2%) · 10 2200m 16 gate WTA wins 8.3% (avg 6.3%) · 24	1800m 16 gate WTA wins 0.0% (avg 6.3%) · 7
Ten Mangoes	27	0.0× avg	—	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 7 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 4 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 4
KREMMEL'S CHIKIDZIK🍄	17	0.0× avg	—	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 7 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 3

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