Team report · Lower league

High Rollers

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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
HACKING THE ALGO	387	0.5× avg	1200m 24 gate madness top 3 17% (avg 13%) · 12 1600m 24 gate madness top 3 14% (avg 13%) · 7 1000m 24 gate madness top 3 13% (avg 13%) · 15	1400m 24 gate madness top 3 0.0% (avg 13%) · 30 2200m 24 gate madness top 3 2.6% (avg 13%) · 77 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 48
EMINENT FORCE	387	1.4× avg	1400m 24 gate madness top 3 30% (avg 13%) · 30 1200m 24 gate madness top 3 33% (avg 13%) · 12 2200m 22 gate WTA wins 13% (avg 4.5%) · 15	1000m 22 gate WTA wins 2.0% (avg 4.5%) · 49 2000m 22 gate WTA wins 2.1% (avg 4.5%) · 48 1600m 22 gate WTA wins 3.3% (avg 4.5%) · 30
GRATED ETHER🧀	387	1.4× avg	1000m 22 gate WTA wins 14% (avg 4.5%) · 49 1600m 24 gate madness top 3 43% (avg 13%) · 7 2000m 22 gate WTA wins 10% (avg 4.5%) · 48	1200m 24 gate madness top 3 8.3% (avg 13%) · 12 2200m 24 gate madness top 3 12% (avg 13%) · 77 1400m 22 gate WTA wins 4.2% (avg 4.5%) · 24
SWIFT ESCORT	387	1.5× avg	1800m 24 gate madness top 3 32% (avg 13%) · 50 2200m 24 gate madness top 3 22% (avg 13%) · 77 2000m 22 gate WTA wins 8.3% (avg 4.5%) · 48	1600m 24 gate madness top 3 0.0% (avg 13%) · 7 1000m 24 gate madness top 3 6.7% (avg 13%) · 15 1200m 24 gate madness top 3 8.3% (avg 13%) · 12
CHEESY LOVE🧀♥️	387	1.4× avg	2200m 22 gate WTA wins 20% (avg 4.5%) · 15 1400m 24 gate madness top 3 30% (avg 13%) · 30 1200m 22 gate WTA wins 14% (avg 4.5%) · 29	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 24 1600m 24 gate madness top 3 0.0% (avg 13%) · 7 1200m 24 gate madness top 3 8.3% (avg 13%) · 12
CHEESY NINES	372	1.2× avg	1400m 22 gate WTA wins 13% (avg 4.5%) · 24 1600m 22 gate WTA wins 10% (avg 4.5%) · 30 1000m 22 gate WTA wins 8.2% (avg 4.5%) · 49	1000m 24 gate madness top 3 6.7% (avg 13%) · 15 1800m 24 gate madness top 3 10% (avg 13%) · 50 2000m 22 gate WTA wins 4.2% (avg 4.5%) · 48
SHREDDED LOVE🧀	357	0.7× avg	1000m 24 gate madness top 3 20% (avg 13%) · 15 1200m 22 gate WTA wins 6.9% (avg 4.5%) · 29 1800m 24 gate madness top 3 14% (avg 13%) · 50	2200m 24 gate madness top 3 2.6% (avg 13%) · 77 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 48 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 24
CHEESY ETHER🧀⚠️	323	1.2× avg	1600m 22 gate WTA wins 10% (avg 4.5%) · 30 1200m 24 gate madness top 3 25% (avg 13%) · 12 1000m 22 gate WTA wins 8.2% (avg 4.5%) · 49	1600m 24 gate madness top 3 0.0% (avg 13%) · 7 1400m 24 gate madness top 3 6.7% (avg 13%) · 30 2200m 24 gate madness top 3 12% (avg 13%) · 77
GRATED SWAG🧀	310	0.2× avg	—	1800m 24 gate madness top 3 2.0% (avg 13%) · 50 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 49 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 48
AGAINST ALL ODDS	252	1.4× avg	2200m 24 gate madness top 3 22% (avg 13%) · 77 1600m 22 gate WTA wins 10% (avg 4.5%) · 30 2000m 22 gate WTA wins 8.3% (avg 4.5%) · 48	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 15 1400m 22 gate WTA wins 4.2% (avg 4.5%) · 24 1800m 24 gate madness top 3 12% (avg 13%) · 50
RED BULL	243	0.0× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 77 1800m 24 gate madness top 3 0.0% (avg 13%) · 50 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 48
BUDDHA	228	1.3× avg	2000m 22 gate WTA wins 8.3% (avg 4.5%) · 48 1600m 22 gate WTA wins 6.7% (avg 4.5%) · 30 2200m 24 gate madness top 3 16% (avg 13%) · 77	—
Divine Harvest	83	0.5× avg	1400m 22 gate WTA wins 22% (avg 4.5%) · 9	1000m 24 gate madness top 3 0.0% (avg 13%) · 15 1400m 24 gate madness top 3 0.0% (avg 13%) · 15 2200m 24 gate madness top 3 6.7% (avg 13%) · 30
STRANGE CAR	79	1.7× avg	1200m 22 gate WTA wins 10% (avg 4.5%) · 29 1000m 22 gate WTA wins 8.6% (avg 4.5%) · 35	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 15
SHREDDED CHIDO🧀	79	0.0× avg	—	1000m 24 gate madness top 3 0.0% (avg 13%) · 15 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 35 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 29
SCARLET ESCORT	73	1.4× avg	2200m 24 gate madness top 3 20% (avg 13%) · 46 1400m 24 gate madness top 3 20% (avg 13%) · 15	1200m 24 gate madness top 3 8.3% (avg 13%) · 12
DELICATE BUDDHA🧘‍♂️	72	0.6× avg	—	1200m 24 gate madness top 3 0.0% (avg 13%) · 12 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 15 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 14
SHREDDED MATH 🧀🧮	42	1.0× avg	1200m 24 gate madness top 3 25% (avg 13%) · 12	1400m 24 gate madness top 3 6.7% (avg 13%) · 30

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).