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	391.62	3133	83rd
Goals	0.88	7	66th
Assists	0.5	4	37th
Saves	1.5	12	71st
Shots	3.12	25	87th
Demos	0.38	3	5th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Rival
Points	391.62	#158 / 1213	#22 / 164
Goals	0.88	#286 / 1213	#42 / 164
Assists	0.5	#509 / 1213	#74 / 164
Saves	1.5	#241 / 1213	#33 / 164
Demos	0.38	#874 / 1213	#126 / 164

56% of the season is played (8 → ~14 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 (18 games across 1 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	3133	5483	5338	5338	5268 – 5409
Goals	7	12	12	11	9 – 15
Assists	4	7	7	9	4 – 10
Saves	12	21	21	19	16 – 25
Shots	25	44	42	41	36 – 48
Demos	3	5	7	6	4 – 10
MVPs	3	5	5	5	3 – 6

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	427.2
Avg boost	48.4
Boost stolen / game	631.9
% time at 0 boost	12.5%
Avg speed (uu/s)	1601.7
% supersonic	18.3%
% time high in air	5.5%
Avg distance to ball	2922.1
% time attacking third	23.0%
Demos / game	0.4
Demos taken / game	1.1
Shooting %	27.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Veteran	18	0.56	0.94	0.89	396
S26	Rival	8	0.88	0.5	1.5	427

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	0.88	0.85	0.81 – 0.92
Assists/game	0.5	0.52	0.44 – 0.58
Saves/game	1.5	1.46	1.37 – 1.53
Shots/game	3.12	3.03	2.91 – 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
illuzhn	S23	Elite	0.7	0.61	1.42	1.09
gxcid	S24	Rival	0.94	0.54	1.61	1.15
solar722	S24	Master	0.85	0.44	1.56	1.21
Frijole	S24	Master	0.82	0.51	1.37	1.23
Arkcus	S23	Premier	0.84	0.59	1.53	1.33
Taelo	S19	Premier	0.81	0.38	1.5	1.35
daysil	S25	Elite	0.85	0.58	1.23	1.41
halibut907	S23	Veteran	0.82	0.59	1.59	1.42
yRoxyy	S17	Veteran	1.12	0.5	1.62	1.44
Spooky	S21	Master	0.91	0.48	1.87	1.44

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.