How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

Per-game production (percentile within Contender)

Stat	Per game	Total	Percentile in tier
Points	322.5	7740	57th
Goals	0.62	15	38th
Assists	0.46	11	44th
Saves	1.08	26	42nd
Shots	2.54	61	73rd
Demos	0.83	20	57th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	322.5	#634 / 1215	#48 / 134
Goals	0.62	#660 / 1215	#69 / 134
Assists	0.46	#629 / 1215	#61 / 134
Saves	1.08	#701 / 1215	#64 / 134
Demos	0.83	#564 / 1215	#48 / 134

64% of the season is played (24 → ~37 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	7740	11932	11915	11817 – 12013
Goals	15	23	23	19 – 28
Assists	11	17	17	13 – 21
Saves	26	40	40	35 – 46
Shots	61	94	93	85 – 102
Demos	20	31	31	26 – 36
MVPs	3	5	5	3 – 7

From 20 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min	310.7
Avg boost	54.7
Boost stolen / game	422.7
% time at 0 boost	8.9%
Avg speed (uu/s)	1424.1
% supersonic	7.3%
% time high in air	3.8%
Avg distance to ball	3018.3
% time attacking third	22.4%
Demos / game	0.9
Demos taken / game	0.7
Shooting %	25.5%

Historical analysis - data: Official · All seasons (change in the nav)

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

Stat	This season	Comparables median	Typical range
Goals/game	0.65	0.68	0.63 – 0.73
Assists/game	0.45	0.5	0.43 – 0.53
Saves/game	1.1	1.1	1.03 – 1.17
Shots/game	2.65	2.51	2.32 – 2.73

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
Ty (Arcus)	S18	Veteran	0.75	0.5	1.19	0.69
ShinxX403	S25	Challenger	0.72	0.43	1.31	0.82
CosmicFlames.	S20	Rival	0.71	0.36	1.14	0.92
OvrSizedFrog	S24	Challenger	0.73	0.53	1.13	0.93
Ofodo	S17	Challenger	0.64	0.5	1.07	0.97
TechFour	S21	Challenger	0.55	0.5	1.1	1.00
Hawkish	S21	Veteran	0.67	0.58	1.0	1.04
Velo	S23	Challenger	0.74	0.5	1.03	1.05
Shogun	S24	Challenger	0.84	0.4	1.1	1.07
x ARC Fives x	S23	Rival	0.65	0.56	0.98	1.08

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

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Data source: live (rscna.com) - standings & schedule refresh hourly.