Team report · Lower league

Flynn's Back

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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
GTO 🔨	649	1.1× avg	1800m 12 gate madness top 3 57% (avg 25%) · 7 2200m 24 gate madness top 3 22% (avg 13%) · 64 1600m 22 gate WTA wins 11% (avg 4.5%) · 18	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 35 1000m 22 gate WTA wins 0.0% (avg 4.5%) · 32 1000m 24 gate madness top 3 4.5% (avg 13%) · 22
Hotshot Pedal	605	1.2× avg	2000m 22 gate WTA wins 13% (avg 4.5%) · 31 2200m 16 gate WTA wins 15% (avg 6.3%) · 20 2200m 4 gate WTA wins 47% (avg 25%) · 15	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 32 2200m 6 gate WTA wins 6.7% (avg 17%) · 15 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18
GTO	519	0.9× avg	2200m 16 gate WTA wins 15% (avg 6.3%) · 20 1800m 12 gate madness top 3 43% (avg 25%) · 7 2200m 6 gate WTA wins 27% (avg 17%) · 15	1000m 24 gate madness top 3 0.0% (avg 13%) · 22 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 31 2000m 12 gate madness top 3 12% (avg 25%) · 26
Inspiration	448	0.9× avg	1800m 24 gate WTA wins 14% (avg 4.2%) · 7 1600m 6 gate madness top 3 70% (avg 50%) · 37 1400m 24 gate WTA wins 10% (avg 4.2%) · 10	2200m 24 gate madness top 3 4.7% (avg 13%) · 64 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 20 1000m 24 gate madness top 3 0.0% (avg 13%) · 9
Ivory Pearl	414	1.2× avg	1800m 16 gate WTA wins 60% (avg 6.3%) · 5 1600m 24 gate madness top 3 40% (avg 13%) · 5 1000m 22 gate WTA wins 9.4% (avg 4.5%) · 32	1800m 12 gate WTA wins 0.0% (avg 8.3%) · 10 1600m 16 gate WTA wins 0.0% (avg 6.3%) · 9 1800m 24 gate madness top 3 8.9% (avg 13%) · 45
Liberation	412	1.1× avg	1000m 24 gate madness top 3 27% (avg 13%) · 22 1400m 16 gate WTA wins 15% (avg 6.3%) · 20 1200m 12 gate WTA wins 20% (avg 8.3%) · 10	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 35 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 10
Obedient Lady	371	1.0× avg	1600m 4 gate WTA wins 46% (avg 25%) · 13 1400m 22 gate WTA wins 13% (avg 4.5%) · 16 1600m 22 gate WTA wins 11% (avg 4.5%) · 18	1400m 16 gate WTA wins 0.0% (avg 6.3%) · 20 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18 1600m 24 gate madness top 3 0.0% (avg 13%) · 5
London Muscle	329	1.1× avg	1600m 16 gate WTA wins 44% (avg 6.3%) · 9 1000m 24 gate madness top 3 41% (avg 13%) · 22 1400m 24 gate madness top 3 28% (avg 13%) · 18	1400m 12 gate madness top 3 0.0% (avg 25%) · 13 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 20 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18
GTO Gryffindor	328	1.1× avg	2200m 24 gate madness top 3 27% (avg 13%) · 64 1800m 24 gate madness top 3 16% (avg 13%) · 45 1000m 22 gate WTA wins 6.3% (avg 4.5%) · 32	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 35 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 10 2000m 12 gate madness top 3 15% (avg 25%) · 26
Bergkamps Thunderbolt	322	1.1× avg	1000m 16 gate WTA wins 20% (avg 6.3%) · 10 1000m 12 gate madness top 3 46% (avg 25%) · 13 1600m 24 gate WTA wins 8.6% (avg 4.2%) · 35	1200m 6 gate WTA wins 8.8% (avg 17%) · 34 1200m 12 gate WTA wins 0.0% (avg 8.3%) · 10 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 18
Lunar Adventure	312	0.8× avg	1200m 24 gate madness top 3 30% (avg 13%) · 20 1400m 24 gate WTA wins 10% (avg 4.2%) · 10 1200m 4 gate WTA wins 31% (avg 25%) · 13	1400m 12 gate madness top 3 0.0% (avg 25%) · 13 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 35 1200m 6 gate WTA wins 8.8% (avg 17%) · 34
GTO-GP🏁	281	1.2× avg	1800m 24 gate madness top 3 22% (avg 13%) · 45 2000m 12 gate madness top 3 38% (avg 25%) · 26 2000m 22 gate WTA wins 6.5% (avg 4.5%) · 31	1000m 24 gate madness top 3 0.0% (avg 13%) · 13 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 18 1600m 24 gate madness top 3 0.0% (avg 13%) · 5
GTO Ƶ	271	1.0× avg	2000m 22 gate WTA wins 9.7% (avg 4.5%) · 31 2200m 24 gate madness top 3 19% (avg 13%) · 64 2200m 16 gate WTA wins 10% (avg 6.3%) · 20	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 32 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 18 1800m 24 gate madness top 3 8.9% (avg 13%) · 45
Oxlivia	250	0.7× avg	1600m 24 gate madness top 3 40% (avg 13%) · 5 2200m 22 gate WTA wins 11% (avg 4.5%) · 9 1400m 22 gate WTA wins 6.3% (avg 4.5%) · 16	1800m 12 gate madness top 3 0.0% (avg 25%) · 7 2200m 24 gate madness top 3 6.3% (avg 13%) · 64 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 10
Larry & Denise	220	0.2× avg	—	2200m 24 gate madness top 3 1.6% (avg 13%) · 64 1800m 12 gate madness top 3 0.0% (avg 25%) · 7 1800m 24 gate madness top 3 4.4% (avg 13%) · 45
Dazzling Pineapples 🍍🍍	208	0.7× avg	2200m 16 gate WTA wins 10% (avg 6.3%) · 20 1000m 22 gate WTA wins 6.3% (avg 4.5%) · 32	1800m 24 gate madness top 3 6.7% (avg 13%) · 45 2200m 24 gate madness top 3 7.8% (avg 13%) · 64 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 9
Rage Red	189	0.9× avg	2000m 22 gate WTA wins 6.5% (avg 4.5%) · 31 2200m 24 gate madness top 3 14% (avg 13%) · 64	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 32 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 9 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 7
One More Hemi	186	0.9× avg	1200m 24 gate WTA wins 20% (avg 4.2%) · 10 1400m 24 gate madness top 3 28% (avg 13%) · 18 1200m 24 gate madness top 3 15% (avg 13%) · 20	1400m 16 gate WTA wins 0.0% (avg 6.3%) · 20 1000m 24 gate madness top 3 4.5% (avg 13%) · 22 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18
StarAtlas	171	0.9× avg	1000m 4 gate WTA wins 35% (avg 25%) · 20 1000m 12 gate madness top 3 31% (avg 25%) · 13 1000m 24 gate madness top 3 14% (avg 13%) · 22	1200m 12 gate WTA wins 0.0% (avg 8.3%) · 10 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 18 1400m 24 gate madness top 3 5.6% (avg 13%) · 18
Leverage	156	0.2× avg	—	1200m 24 gate madness top 3 0.0% (avg 13%) · 20 1400m 24 gate madness top 3 0.0% (avg 13%) · 18 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 35

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).