Team report · Lower league

🏍️ VR46 🏍️

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
Lush Ghost	782	1.5× avg	1000m 22 gate WTA wins 12% (avg 4.5%) · 42 1600m 16 gate WTA wins 21% (avg 6.3%) · 14 2200m 24 gate madness top 3 23% (avg 13%) · 74	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 26 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13 2200m 16 gate WTA wins 3.3% (avg 6.3%) · 30
No Facts	675	1.0× avg	1200m 22 gate WTA wins 12% (avg 4.5%) · 26 1600m 24 gate madness top 3 25% (avg 13%) · 8 1400m 24 gate madness top 3 19% (avg 13%) · 26	2200m 24 gate madness top 3 5.4% (avg 13%) · 74 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 22
Blissful Splash	604	0.7× avg	1600m 22 gate WTA wins 7.7% (avg 4.5%) · 26 1200m 24 gate madness top 3 18% (avg 13%) · 11 1400m 16 gate WTA wins 6.7% (avg 6.3%) · 30	2200m 24 gate madness top 3 0.0% (avg 13%) · 74 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 50 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 43
Lavaflow	486	1.0× avg	1400m 24 gate madness top 3 27% (avg 13%) · 26 1400m 22 gate WTA wins 9.1% (avg 4.5%) · 22 1400m 16 gate WTA wins 10% (avg 6.3%) · 30	1200m 24 gate madness top 3 0.0% (avg 13%) · 11 1600m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 11
Tectonic Hybrid	476	1.3× avg	2200m 24 gate madness top 3 28% (avg 13%) · 74 1800m 24 gate madness top 3 26% (avg 13%) · 46 2200m 16 gate WTA wins 13% (avg 6.3%) · 30	1600m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 11 1800m 16 gate WTA wins 0.0% (avg 6.3%) · 10
TON 618	408	0.9× avg	1200m 12 gate WTA wins 27% (avg 8.3%) · 11 1400m 24 gate madness top 3 23% (avg 13%) · 26 1600m 24 gate madness top 3 25% (avg 13%) · 8	1400m 22 gate WTA wins 0.0% (avg 4.5%) · 22 1000m 4 gate WTA wins 16% (avg 25%) · 32 1600m 24 gate WTA wins 2.0% (avg 4.2%) · 50
Nebula Tremor	394	1.6× avg	1800m 12 gate WTA wins 82% (avg 8.3%) · 11 2200m 16 gate WTA wins 20% (avg 6.3%) · 30 1600m 22 gate WTA wins 15% (avg 4.5%) · 26	1600m 24 gate WTA wins 2.0% (avg 4.2%) · 50 1800m 1v1 wins 37% (avg 50%) · 30 1800m 22 gate WTA wins 0.0% (avg 4.5%) · 3
Yellow Lightning	359	0.9× avg	1200m 1v1 wins 67% (avg 50%) · 3 1200m 6 gate madness top 3 58% (avg 50%) · 40 1000m 6 gate madness top 3 56% (avg 50%) · 32	1400m 24 gate madness top 3 0.0% (avg 13%) · 26 1600m 24 gate WTA wins 0.0% (avg 4.2%) · 50 1400m 16 gate WTA wins 0.0% (avg 6.3%) · 30
Steel Rebel	358	1.0× avg	1600m 22 gate WTA wins 12% (avg 4.5%) · 26 1000m 22 gate WTA wins 9.5% (avg 4.5%) · 42 1400m 6 gate madness top 3 100% (avg 50%) · 3	1000m 16 gate WTA wins 0.0% (avg 6.3%) · 17 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 22 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 15
EXPBIKECB16003	332	1.3× avg	1400m 24 gate madness top 3 27% (avg 13%) · 26 1400m 24 gate WTA wins 13% (avg 4.2%) · 15 1400m 22 gate WTA wins 9.1% (avg 4.5%) · 22	1600m 16 gate WTA wins 0.0% (avg 6.3%) · 14 1600m 6 gate madness top 3 41% (avg 50%) · 29 1600m 22 gate WTA wins 3.8% (avg 4.5%) · 26
Venom Mage	318	1.6× avg	1600m 24 gate WTA wins 10% (avg 4.2%) · 50 1200m 22 gate WTA wins 12% (avg 4.5%) · 26 1200m 24 gate WTA wins 13% (avg 4.2%) · 15	2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13 1600m 22 gate WTA wins 3.8% (avg 4.5%) · 26 1000m 16 gate WTA wins 5.9% (avg 6.3%) · 17
Beckham	315	1.2× avg	2200m 24 gate madness top 3 23% (avg 13%) · 74 2200m 6 gate madness top 3 79% (avg 50%) · 24 2000m 12 gate madness top 3 50% (avg 25%) · 4	2200m 16 gate WTA wins 0.0% (avg 6.3%) · 30 1800m 24 gate madness top 3 4.3% (avg 13%) · 46 2000m 22 gate WTA wins 2.3% (avg 4.5%) · 43
Bold Boost	246	0.7× avg	1800m 6 gate madness top 3 100% (avg 50%) · 3 1800m 24 gate WTA wins 7.7% (avg 4.2%) · 13 1800m 16 gate WTA wins 10% (avg 6.3%) · 10	1600m 24 gate WTA wins 0.0% (avg 4.2%) · 50 1400m 22 gate WTA wins 0.0% (avg 4.5%) · 22 1800m 12 gate WTA wins 0.0% (avg 8.3%) · 11
Ionic Void	222	0.6× avg	—	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 42 1200m 24 gate madness top 3 0.0% (avg 13%) · 11 1200m 22 gate WTA wins 0.0% (avg 4.5%) · 26
In Game Currency	204	0.7× avg	1000m 24 gate madness top 3 27% (avg 13%) · 15 1200m 12 gate WTA wins 18% (avg 8.3%) · 11	1200m 22 gate WTA wins 0.0% (avg 4.5%) · 26 1000m 16 gate WTA wins 0.0% (avg 6.3%) · 17 1400m 24 gate WTA wins 0.0% (avg 4.2%) · 15
Blue Blood	202	1.1× avg	2200m 16 gate WTA wins 13% (avg 6.3%) · 30 2200m 6 gate madness top 3 67% (avg 50%) · 24	1800m 16 gate WTA wins 0.0% (avg 6.3%) · 10 1800m 24 gate WTA wins 0.0% (avg 4.2%) · 13 1800m 24 gate madness top 3 8.7% (avg 13%) · 46
EXPBIKECB16026	178	0.1× avg	—	2200m 24 gate madness top 3 0.0% (avg 13%) · 74 1800m 24 gate madness top 3 2.3% (avg 13%) · 44 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 43
Sonic Outlaw	176	0.6× avg	2200m 16 gate WTA wins 6.7% (avg 6.3%) · 30	2200m 24 gate madness top 3 2.7% (avg 13%) · 74 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 43 1800m 22 gate WTA wins 0.0% (avg 4.5%) · 3
EXPBIKECB22002	166	0.1× avg	—	2200m 24 gate madness top 3 1.4% (avg 13%) · 74 2000m 22 gate WTA wins 0.0% (avg 4.5%) · 43 2200m 16 gate WTA wins 0.0% (avg 6.3%) · 30
EXPBIKECB22001	154	1.2× avg	2200m 16 gate WTA wins 10% (avg 6.3%) · 30 2000m 22 gate WTA wins 7.0% (avg 4.5%) · 43 2200m 24 gate madness top 3 14% (avg 13%) · 74	2200m 6 gate WTA wins 0.0% (avg 17%) · 3
Emerald Scorpion	148	1.1× avg	1000m 24 gate madness top 3 27% (avg 13%) · 15 1000m 22 gate WTA wins 7.1% (avg 4.5%) · 42 1200m 22 gate WTA wins 7.7% (avg 4.5%) · 26	1000m 16 gate WTA wins 0.0% (avg 6.3%) · 17 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 15 2200m 22 gate WTA wins 0.0% (avg 4.5%) · 13
EXPBIKECB14	117	0.6× avg	1400m 22 gate WTA wins 9.1% (avg 4.5%) · 22	1800m 24 gate madness top 3 4.5% (avg 13%) · 44 1600m 24 gate madness top 3 0.0% (avg 13%) · 8 1200m 24 gate WTA wins 0.0% (avg 4.2%) · 15
Cleaning Panda	68	1.0× avg	1200m 24 gate madness top 3 27% (avg 13%) · 11 1000m 24 gate madness top 3 13% (avg 13%) · 15	1000m 22 gate WTA wins 0.0% (avg 4.5%) · 42
Extreme Wild	54	0.1× avg	—	1400m 24 gate madness top 3 0.0% (avg 13%) · 26 1000m 24 gate madness top 3 0.0% (avg 13%) · 15 1200m 24 gate madness top 3 9.1% (avg 13%) · 11
Mist Blaze	19	0.0× avg	—	1200m 24 gate madness top 3 0.0% (avg 13%) · 9 1600m 24 gate madness top 3 0.0% (avg 13%) · 8

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).