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	328.66	10517	62nd
Goals	0.75	24	56th
Assists	0.53	17	66th
Saves	1.25	40	64th
Shots	2.25	72	46th
Demos	0.72	23	43rd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	328.66	#596 / 1215	#42 / 134
Goals	0.75	#455 / 1215	#46 / 134
Assists	0.53	#481 / 1215	#37 / 134
Saves	1.25	#513 / 1215	#39 / 134
Demos	0.72	#665 / 1215	#63 / 134

64% of the season is played (32 → ~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	10517	16433	16391	16273 – 16509
Goals	24	38	37	32 – 43
Assists	17	27	26	22 – 31
Saves	40	62	62	55 – 69
Shots	72	112	113	103 – 123
Demos	23	36	36	31 – 42
MVPs	6	9	9	6 – 12

From 30 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	381.3
Avg boost	44.9
Boost stolen / game	449.7
% time at 0 boost	14.3%
Avg speed (uu/s)	1502.9
% supersonic	11.2%
% time high in air	3.1%
Avg distance to ball	2949.9
% time attacking third	20.1%
Demos / game	0.7
Demos taken / game	1.0
Shooting %	31.9%

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	0.77	0.78	0.68 – 0.82
Assists/game	0.53	0.55	0.51 – 0.6
Saves/game	1.27	1.25	1.22 – 1.33
Shots/game	2.27	2.35	2.22 – 2.5

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
Perry The Platypus	S26	Prospect	0.74	0.53	1.32	0.62
XxExGENxX	S21	Contender	0.76	0.48	1.09	0.73
AlphaChuck	S20	Elite	0.67	0.5	1.25	0.81
ARJ	S22	Veteran	0.79	0.53	1.24	0.82
AcX	S24	Master	0.74	0.67	1.24	0.87
AkTION	S24	Challenger	0.65	0.61	1.32	0.87
itzmoose	S24	Veteran	0.89	0.59	1.22	0.87
solurr	S26	Elite	0.88	0.5	1.5	0.89
Danub	S23	Rival	0.77	0.51	1.33	0.89
Rev	S14	Elite	0.62	0.62	1.25	0.91

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.