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	426.65	9813	95th
Goals	1.26	29	96th
Assists	0.65	15	70th
Saves	1.3	30	47th
Shots	3.35	77	95th
Demos	1.09	25	62nd

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Rival
Points	426.65	#51 / 1213	#6 / 164
Goals	1.26	#34 / 1213	#5 / 164
Assists	0.65	#269 / 1213	#40 / 164
Saves	1.3	#465 / 1213	#71 / 164
Demos	1.09	#339 / 1213	#50 / 164

56% of the season is played (23 → ~41 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 (48 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	9813	17493	17106	17106	16969 – 17244
Goals	29	52	49	48	42 – 57
Assists	15	27	26	26	21 – 32
Saves	30	53	54	56	46 – 61
Shots	77	137	133	131	121 – 145
Demos	25	45	44	49	37 – 52
MVPs	4	7	7	7	4 – 10

From 23 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	413.3
Avg boost	53.3
Boost stolen / game	610.0
% time at 0 boost	9.4%
Avg speed (uu/s)	1572.2
% supersonic	17.7%
% time high in air	5.4%
Avg distance to ball	2855.0
% time attacking third	22.9%
Demos / game	1.1
Demos taken / game	1.3
Shooting %	31.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Rival	48	0.65	0.5	1.77	382
S26	Rival	23	1.26	0.65	1.3	413

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	1.26	1.14	1.11 – 1.19
Assists/game	0.65	0.64	0.58 – 0.66
Saves/game	1.3	1.34	1.25 – 1.44
Shots/game	3.35	3.26	3.14 – 3.5

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
Foam	S22	Master	1.2	0.7	1.45	0.80
Andy	S23	Premier	1.19	0.58	1.08	0.92
LMNS	S23	Master	1.14	0.58	1.41	0.93
vidhawk rl	S25	Premier	1.1	0.65	1.14	0.95
Mai	S23	Veteran	1.16	0.58	1.26	0.97
north	S20	Master	1.15	0.65	1.2	1.00
vidhawk rl	S26	Premier	1.25	0.61	1.57	1.04
KAYO	S25	Veteran	1.11	0.66	1.34	1.09
Skulzy9	S17	Elite	1.25	0.62	1.38	1.10
KamdenRL	S24	Elite	1.06	0.56	1.39	1.11

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.