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 Elite)

Stat	Per game	Total	Percentile in tier
Points	392.96	9431	81st
Goals	0.92	22	75th
Assists	1.08	26	98th
Saves	1.17	28	24th
Shots	2.67	64	57th
Demos	1.33	32	74th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	392.96	#146 / 1215	#24 / 179
Goals	0.92	#233 / 1215	#30 / 179
Assists	1.08	#10 / 1215	#2 / 179
Saves	1.17	#609 / 1215	#97 / 179
Demos	1.33	#203 / 1215	#31 / 179

56% of the season is played (24 → ~43 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	9431	16897	16715	16577 – 16853
Goals	22	39	39	32 – 45
Assists	26	47	44	37 – 51
Saves	28	50	51	43 – 59
Shots	64	115	114	103 – 126
Demos	32	57	56	48 – 64
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	412.8
Avg boost	49.9
Boost stolen / game	583.7
% time at 0 boost	13.5%
Avg speed (uu/s)	1519.8
% supersonic	14.9%
% time high in air	5.8%
Avg distance to ball	2765.2
% time attacking third	24.5%
Demos / game	1.3
Demos taken / game	1.0
Shooting %	34.2%

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	0.93	0.8 – 1.0
Assists/game	1.08	0.92	0.87 – 1.0
Saves/game	1.17	1.17	1.11 – 1.33
Shots/game	2.67	2.8	2.62 – 2.9

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
PublicEnemy#1	S23	Veteran	1.07	1.0	1.11	0.94
Taiyo	S25	Elite	0.94	1.08	1.12	1.38
scotti	S23	Elite	0.95	0.96	1.46	1.43
BirdTerd999	S21	Prospect	1.0	0.9	1.26	1.48
RollsRoyceOwner	S17	Elite	0.92	1.08	1.33	1.53
SYKXZ	S20	Challenger	0.93	1.0	1.2	1.56
taz.rm	S19	Veteran	1.0	1.0	1.0	1.58
Pillow	S26	Master	0.78	0.87	1.04	1.59
lowcortisol lurx	S26	Veteran	1.09	1.04	1.26	1.59
Meloaw	S26	Master	0.86	1.04	1.11	1.64

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.