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	363.34	10537	81st
Goals	0.9	26	75th
Assists	0.38	11	26th
Saves	1.55	45	89th
Shots	2.41	70	59th
Demos	0.93	27	65th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	363.34	#316 / 1215	#21 / 134
Goals	0.9	#254 / 1215	#28 / 134
Assists	0.38	#758 / 1215	#82 / 134
Saves	1.55	#211 / 1215	#11 / 134
Demos	0.93	#481 / 1215	#39 / 134

64% of the season is played (29 → ~45 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	10537	16351	16190	16075 – 16306
Goals	26	40	40	34 – 45
Assists	11	17	17	14 – 21
Saves	45	70	68	61 – 76
Shots	70	109	108	99 – 118
Demos	27	42	42	36 – 47
MVPs	5	8	8	5 – 10

From 26 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	387.9
Avg boost	53.1
Boost stolen / game	479.4
% time at 0 boost	10.1%
Avg speed (uu/s)	1483.6
% supersonic	11.2%
% time high in air	2.3%
Avg distance to ball	2980.3
% time attacking third	22.2%
Demos / game	0.9
Demos taken / game	1.0
Shooting %	39.6%

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	0.92	0.85	0.77 – 0.96
Assists/game	0.42	0.46	0.43 – 0.5
Saves/game	1.65	1.57	1.55 – 1.6
Shots/game	2.42	2.52	2.4 – 2.61

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
Escape_Plan1	S24	Veteran	0.92	0.5	1.6	0.80
Rmuru-	S20	Challenger	1.09	0.46	1.64	0.83
higsn	S23	Elite	0.84	0.45	1.55	0.93
Cryke	S26	Veteran	0.94	0.44	1.5	0.94
Geherpaderp	S20	Master	0.81	0.43	1.62	0.95
Mulliganisoup	S23	Prospect	0.96	0.43	1.43	1.01
Zay	S25	Rival	0.76	0.46	1.54	1.01
daggumbigfoot	S20	Rival	0.8	0.47	1.67	1.04
Shepherd	S25	Master	0.79	0.47	1.6	1.04
Parallax	S26	Prospect	1.03	0.44	1.56	1.04

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.