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	346.14	2423	36th
Goals	1.0	7	85th
Assists	0.43	3	20th
Saves	1.0	7	8th
Shots	1.71	12	7th
Demos	1.57	11	87th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	346.14	#453 / 1215	#82 / 179
Goals	1.0	#132 / 1215	#13 / 179
Assists	0.43	#685 / 1215	#102 / 179
Saves	1.0	#738 / 1215	#110 / 179
Demos	1.57	#113 / 1215	#17 / 179

56% of the season is played (7 → ~12 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (76 games across 2 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	2423	4154	4176	4176	4114 – 4238
Goals	7	12	11	12	8 – 14
Assists	3	5	6	6	3 – 8
Saves	7	12	13	13	9 – 17
Shots	12	21	23	26	18 – 28
Demos	11	19	17	19	14 – 21
MVPs	1	2	2	2	1 – 3

From 7 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	378.0
Avg boost	52.8
Boost stolen / game	484.9
% time at 0 boost	8.8%
Avg speed (uu/s)	1521.8
% supersonic	12.2%
% time high in air	4.7%
Avg distance to ball	3118.4
% time attacking third	18.3%
Demos / game	1.6
Demos taken / game	0.3
Shooting %	62.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Elite	16	0.81	0.62	0.81	349
S25	Veteran	60	0.93	0.67	1.48	379
S26	Elite	7	1.0	0.43	1.0	378

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	0.93	0.91	0.85 – 0.98
Assists/game	0.67	0.67	0.62 – 0.7
Saves/game	1.48	1.45	1.36 – 1.54
Shots/game	3.23	3.05	2.92 – 3.17

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
Reeves	S22	Premier	0.88	0.7	1.62	1.02
BillyGatez	S25	Veteran	0.93	0.68	1.48	1.02
Joxtrot	S21	Master	0.91	0.68	1.25	1.09
OmniMurders	S22	Veteran	0.68	0.74	1.53	1.15
vaillantxxx	S23	Veteran	0.9	0.69	1.62	1.17
DQ.	S24	Master	0.98	0.71	1.4	1.17
speed_demon1215	S26	Veteran	0.87	0.68	1.55	1.19
Squatch .	S26	Veteran	0.94	0.59	1.72	1.20
Navik	S22	Elite	0.85	0.6	1.45	1.21
ChilloutGames	S25	Rival	0.85	0.75	1.27	1.23

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.