Team report · Lower league

North West

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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
Nani	284	1.1× avg	1000m 24 gate madness top 3 27% (avg 13%) · 11 1800m 24 gate madness top 3 19% (avg 13%) · 36 1200m 22 gate WTA wins 9.1% (avg 4.5%) · 22	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 35 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 22 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 11
Ascend	284	1.4× avg	2200m 22 gate WTA wins 27% (avg 4.5%) · 11 2000m 22 gate WTA wins 11% (avg 4.5%) · 35 1800m 24 gate madness top 3 22% (avg 13%) · 36	1600m 24 gate madness top 3 0.0% (avg 13%) · 7 1200m 24 gate madness top 3 0.0% (avg 13%) · 7 1400m 24 gate madness top 3 9.1% (avg 13%) · 22
Work from home	273	1.4× avg	1000m 24 gate madness top 3 45% (avg 13%) · 11 1200m 22 gate WTA wins 18% (avg 4.5%) · 22 1800m 24 gate madness top 3 25% (avg 13%) · 36	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 36 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 35 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 18
Ibra	249	1.4× avg	1600m 24 gate madness top 3 43% (avg 13%) · 7 1600m 22 gate WTA wins 14% (avg 4.5%) · 22 1200m 22 gate WTA wins 14% (avg 4.5%) · 22	2200m 24 gate madness top 3 7.1% (avg 13%) · 56
Cecilia	248	1.2× avg	2200m 24 gate madness top 3 25% (avg 13%) · 56 2000m 22 gate WTA wins 11% (avg 4.5%) · 35 2200m 22 gate WTA wins 9.1% (avg 4.5%) · 11	1000m 24 gate madness top 3 0.0% (avg 13%) · 11 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 22 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 22
Twat	215	0.1× avg	—	1800m 24 gate madness top 3 0.0% (avg 13%) · 36 2200m 24 gate madness top 3 1.8% (avg 13%) · 56 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 35
Carrick	215	2.0× avg	2200m 24 gate madness top 3 30% (avg 13%) · 56 1400m 24 gate madness top 3 32% (avg 13%) · 22 1600m 24 gate madness top 3 43% (avg 13%) · 7	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 18
Arc Raider	193	1.2× avg	1600m 22 gate WTA wins 14% (avg 4.5%) · 22 1400m 22 gate WTA wins 11% (avg 4.5%) · 18 1200m 22 gate WTA wins 9.1% (avg 4.5%) · 22	1600m 24 gate madness top 3 0.0% (avg 13%) · 7 1200m 24 gate madness top 3 0.0% (avg 13%) · 7 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 11
J J Gabriel	181	1.9× avg	1000m 22 gate WTA wins 22% (avg 4.5%) · 36 1200m 22 gate WTA wins 18% (avg 4.5%) · 22 1400m 22 gate WTA wins 17% (avg 4.5%) · 18	1800m 24 gate madness top 3 5.6% (avg 13%) · 36 1600m 24 gate madness top 3 0.0% (avg 13%) · 7
Expensive Earth	168	0.0× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 56 1400m 24 gate madness top 3 0.0% (avg 13%) · 22 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 35
Couch Potato	168	1.7× avg	2200m 22 gate WTA wins 18% (avg 4.5%) · 11 2200m 24 gate madness top 3 23% (avg 13%) · 56 1800m 24 gate madness top 3 19% (avg 13%) · 36	—
Living Mirage	163	0.5× avg	—	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 36 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 35 2200m 24 gate madness top 3 7.1% (avg 13%) · 56
Speedy Freak	162	1.1× avg	1200m 24 gate madness top 3 29% (avg 13%) · 7 2200m 24 gate madness top 3 16% (avg 13%) · 56 1000m 24 gate madness top 3 18% (avg 13%) · 11	1600m 24 gate madness top 3 0.0% (avg 13%) · 7 1000m 22 gate WTA wins 2.8% (avg 4.5%) · 36 1400m 24 gate madness top 3 9.1% (avg 13%) · 22
Hoofey	149	0.6× avg	2000m 22 gate WTA wins 8.6% (avg 4.5%) · 35 1600m 22 gate WTA wins 4.5% (avg 4.5%) · 22	2200m 24 gate madness top 3 3.6% (avg 13%) · 56 1800m 24 gate madness top 3 8.3% (avg 13%) · 36
Ok Blood Sprinter	109	0.0× avg	—	1400m 24 gate madness top 3 0.0% (avg 13%) · 22 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 36 1000m 24 gate madness top 3 0.0% (avg 13%) · 11
Radicalised WFH	98	0.4× avg	1000m 24 gate madness top 3 18% (avg 13%) · 11	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 36 1400m 24 gate madness top 3 4.5% (avg 13%) · 22 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 22
Left Eye Lopez	58	0.3× avg	—	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 36 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 11 1000m 24 gate madness top 3 9.1% (avg 13%) · 11
Blazing Crystal	46	0.0× avg	—	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 35 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 11

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).