Team report · Lower league

Hale End Racing

Compare with

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
Hot Viper	152	1.2× avg	2200m 22 gate WTA wins 25% (avg 4.5%) · 8 2200m 24 gate madness top 3 23% (avg 13%) · 39 1600m 22 gate WTA wins 13% (avg 4.5%) · 16	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 18 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 15
Going To Vegas	151	0.5× avg	1600m 22 gate WTA wins 6.3% (avg 4.5%) · 16 1400m 24 gate madness top 3 13% (avg 13%) · 16 1000m 24 gate madness top 3 13% (avg 13%) · 8	2200m 24 gate madness top 3 2.6% (avg 13%) · 39 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 17 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 16
Thierry Henry	151	0.7× avg	1400m 24 gate madness top 3 25% (avg 13%) · 16 1000m 24 gate madness top 3 25% (avg 13%) · 8 1000m 22 gate WTA wins 5.9% (avg 4.5%) · 17	2200m 24 gate madness top 3 2.6% (avg 13%) · 39 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 16
Bruno G.	149	1.2× avg	1600m 22 gate WTA wins 25% (avg 4.5%) · 8 1200m 22 gate WTA wins 13% (avg 4.5%) · 16 2000m 22 gate WTA wins 7.7% (avg 4.5%) · 26	1000m 24 gate madness top 3 0.0% (avg 13%) · 8 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 11 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 9
Enes McSweeny	149	0.9× avg	1200m 22 gate WTA wins 13% (avg 4.5%) · 8 1000m 22 gate WTA wins 11% (avg 4.5%) · 9 1000m 24 gate madness top 3 13% (avg 13%) · 8	1400m 24 gate madness top 3 6.3% (avg 13%) · 16 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 9 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 8
Breaking Grace	149	1.6× avg	2200m 24 gate madness top 3 26% (avg 13%) · 31 1800m 24 gate madness top 3 31% (avg 13%) · 13 1600m 22 gate WTA wins 13% (avg 4.5%) · 16	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 16 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 11 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 9
Hot Fusion	149	0.9× avg	2000m 22 gate WTA wins 12% (avg 4.5%) · 26 2200m 24 gate madness top 3 15% (avg 13%) · 34 1800m 24 gate madness top 3 14% (avg 13%) · 21	1000m 24 gate madness top 3 0.0% (avg 13%) · 8 1400m 24 gate madness top 3 0.0% (avg 13%) · 8 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 16
Hotdog Vendor	149	1.3× avg	2200m 24 gate madness top 3 27% (avg 13%) · 30 2200m 22 gate WTA wins 13% (avg 4.5%) · 8 1200m 22 gate WTA wins 13% (avg 4.5%) · 8	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 12 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 8 1800m 24 gate madness top 3 9.5% (avg 13%) · 21
Breaking Fast	145	0.3× avg	—	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1400m 24 gate madness top 3 0.0% (avg 13%) · 8 1000m 24 gate madness top 3 0.0% (avg 13%) · 8
For The Love Of The Game	145	0.1× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 39 1800m 24 gate madness top 3 0.0% (avg 13%) · 21 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 26
Don't Let Me Get Hot	145	0.7× avg	1200m 22 gate WTA wins 13% (avg 4.5%) · 8 1400m 22 gate WTA wins 11% (avg 4.5%) · 9 2200m 24 gate madness top 3 13% (avg 13%) · 30	2000m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1000m 24 gate madness top 3 0.0% (avg 13%) · 8 1800m 24 gate madness top 3 4.8% (avg 13%) · 21
Average Lavigne	145	0.4× avg	1000m 22 gate WTA wins 6.3% (avg 4.5%) · 16 2000m 22 gate WTA wins 5.9% (avg 4.5%) · 17	2200m 24 gate madness top 3 0.0% (avg 13%) · 31 1000m 24 gate madness top 3 0.0% (avg 13%) · 8 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 16
Fish	144	0.2× avg	—	2200m 24 gate madness top 3 2.6% (avg 13%) · 39 1400m 24 gate madness top 3 0.0% (avg 13%) · 16 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 16
Sydney Sweeney	144	0.8× avg	1000m 22 gate WTA wins 14% (avg 4.5%) · 14 1200m 22 gate WTA wins 13% (avg 4.5%) · 16 2200m 22 gate WTA wins 13% (avg 4.5%) · 8	1800m 24 gate madness top 3 0.0% (avg 13%) · 21 2200m 24 gate madness top 3 6.5% (avg 13%) · 31 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 17

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).