Team report · all teams

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	145	1.5× avg	1400m 24 gate madness top 3 25% (avg 13%) · 12 2000m 22 gate WTA wins 11% (avg 4.5%) · 19 2200m 24 gate madness top 3 21% (avg 13%) · 29	1800m 24 gate madness top 3 5.9% (avg 13%) · 17 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 12 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 6
Ascend	145	1.2× avg	1800m 24 gate madness top 3 35% (avg 13%) · 17 2200m 22 gate WTA wins 17% (avg 4.5%) · 6 1600m 24 gate madness top 3 33% (avg 13%) · 3	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1000m 24 gate madness top 3 0.0% (avg 13%) · 6 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 12
Work from home	139	1.5× avg	1000m 22 gate WTA wins 24% (avg 4.5%) · 17 1200m 24 gate madness top 3 67% (avg 13%) · 3 1800m 24 gate madness top 3 24% (avg 13%) · 17	1000m 24 gate madness top 3 0.0% (avg 13%) · 6 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 9 1600m 24 gate madness top 3 0.0% (avg 13%) · 3
Cecilia	128	1.2× avg	1000m 24 gate madness top 3 33% (avg 13%) · 6 2000m 22 gate WTA wins 11% (avg 4.5%) · 19 2200m 24 gate madness top 3 21% (avg 13%) · 29	1800m 24 gate madness top 3 5.9% (avg 13%) · 17 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 9
Ibra	126	1.3× avg	1000m 22 gate WTA wins 12% (avg 4.5%) · 17 2200m 24 gate madness top 3 17% (avg 13%) · 29 1800m 24 gate madness top 3 18% (avg 13%) · 17	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 9 1600m 24 gate madness top 3 0.0% (avg 13%) · 3 1200m 24 gate madness top 3 0.0% (avg 13%) · 3
Twat	110	0.1× avg	1600m 24 gate madness top 3 33% (avg 13%) · 3	2200m 24 gate madness top 3 0.0% (avg 13%) · 29 1800m 24 gate madness top 3 0.0% (avg 13%) · 17 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 19
Carrick	110	1.7× avg	1400m 24 gate madness top 3 33% (avg 13%) · 12 1600m 22 gate WTA wins 17% (avg 4.5%) · 12 1800m 24 gate madness top 3 24% (avg 13%) · 17	1200m 24 gate madness top 3 0.0% (avg 13%) · 3 2200m 24 gate madness top 3 10% (avg 13%) · 29
Arc Raider	97	1.2× avg	1000m 24 gate madness top 3 33% (avg 13%) · 6 1000m 22 gate WTA wins 12% (avg 4.5%) · 17 1400m 22 gate WTA wins 11% (avg 4.5%) · 9	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1600m 24 gate madness top 3 0.0% (avg 13%) · 3
J J Gabriel	91	1.1× avg	1400m 24 gate madness top 3 25% (avg 13%) · 12 1400m 22 gate WTA wins 11% (avg 4.5%) · 9 1600m 22 gate WTA wins 8.3% (avg 4.5%) · 12	1000m 24 gate madness top 3 0.0% (avg 13%) · 6 1800m 24 gate madness top 3 5.9% (avg 13%) · 17 1600m 24 gate madness top 3 0.0% (avg 13%) · 3
Expensive Earth	87	0.0× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 29 1400m 24 gate madness top 3 0.0% (avg 13%) · 12 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 19
Couch Potato	86	2.2× avg	1600m 24 gate madness top 3 67% (avg 13%) · 3 2200m 24 gate madness top 3 28% (avg 13%) · 29 1800m 24 gate madness top 3 24% (avg 13%) · 17	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 6
Living Mirage	82	0.5× avg	—	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 19 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1800m 24 gate madness top 3 5.9% (avg 13%) · 17
Speedy Freak	82	1.3× avg	1400m 24 gate madness top 3 33% (avg 13%) · 12 1000m 22 gate WTA wins 12% (avg 4.5%) · 17 1200m 24 gate madness top 3 33% (avg 13%) · 3	2200m 24 gate madness top 3 6.9% (avg 13%) · 29 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1600m 24 gate madness top 3 0.0% (avg 13%) · 3
Hoofey	77	0.7× avg	1600m 22 gate WTA wins 8.3% (avg 4.5%) · 12 2000m 22 gate WTA wins 5.3% (avg 4.5%) · 19	2200m 24 gate madness top 3 3.4% (avg 13%) · 29 1800m 24 gate madness top 3 12% (avg 13%) · 17
Ok Blood Sprinter	56	0.0× avg	—	1400m 24 gate madness top 3 0.0% (avg 13%) · 12 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1000m 24 gate madness top 3 0.0% (avg 13%) · 6
Radicalised WFH	50	0.3× avg	1000m 24 gate madness top 3 17% (avg 13%) · 6	1400m 24 gate madness top 3 0.0% (avg 13%) · 12 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 12
Left Eye Lopez	29	0.0× avg	—	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1000m 24 gate madness top 3 0.0% (avg 13%) · 6 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 6
Blazing Crystal	25	0.9× avg	2000m 22 gate WTA wins 5.3% (avg 4.5%) · 19	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 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.

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).