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 Rival)

Stat	Per game	Total	Percentile in tier
Points	392.0	10976	85th
Goals	0.89	25	73rd
Assists	0.46	13	33rd
Saves	1.57	44	80th
Shots	2.68	75	62nd
Demos	1.18	33	67th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	392.0	#149 / 1215	#20 / 164
Goals	0.89	#256 / 1215	#35 / 164
Assists	0.46	#624 / 1215	#90 / 164
Saves	1.57	#186 / 1215	#27 / 164
Demos	1.18	#275 / 1215	#43 / 164

56% of the season is played (28 → ~50 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	10976	19600	19352	19203 – 19501
Goals	25	45	44	37 – 51
Assists	13	23	24	18 – 29
Saves	44	79	77	68 – 87
Shots	75	134	133	121 – 145
Demos	33	59	58	50 – 66
MVPs	5	9	9	6 – 12

From 24 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	359.2
Avg boost	48.9
Boost stolen / game	336.0
% time at 0 boost	12.0%
Avg speed (uu/s)	1484.5
% supersonic	13.8%
% time high in air	3.9%
Avg distance to ball	2863.3
% time attacking third	18.7%
Demos / game	1.2
Demos taken / game	1.0
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	0.67	0.67	0.63 – 0.73
Assists/game	0.42	0.42	0.39 – 0.5
Saves/game	1.5	1.48	1.38 – 1.53
Shots/game	2.54	2.38	2.29 – 2.52

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
Kaisaroh	S25	Master	0.79	0.5	1.5	0.79
derrrrrrrrp	S22	Veteran	0.78	0.38	1.49	0.81
Squatch70	S22	Challenger	0.56	0.48	1.63	0.93
Rapidz (Goofy and Silly)	S25	Master	0.58	0.42	1.38	0.95
Super	S23	Master	0.71	0.53	1.58	0.99
Cognitixn	S25	Veteran	0.61	0.39	1.48	1.00
Rmuru-	S19	Challenger	0.65	0.47	1.53	1.04
Its_Lost	S23	Challenger	0.75	0.38	1.38	1.07
Cognitixn	S24	Veteran	0.71	0.34	1.42	1.08
Tootie	S25	Rival	0.74	0.41	1.38	1.10

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.