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	311.12	2489	16th
Goals	0.88	7	70th
Assists	0.38	3	12th
Saves	1.12	9	22nd
Shots	2.88	23	71st
Demos	2.0	16	95th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	311.12	#694 / 1215	#109 / 179
Goals	0.88	#275 / 1215	#38 / 179
Assists	0.38	#761 / 1215	#111 / 179
Saves	1.12	#656 / 1215	#101 / 179
Demos	2.0	#38 / 1215	#5 / 179

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 (60 games across 3 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	2489	4356	4486	4486	4419 – 4553
Goals	7	12	12	12	9 – 15
Assists	3	5	6	6	3 – 8
Saves	9	16	17	16	12 – 21
Shots	23	40	39	39	33 – 45
Demos	16	28	25	25	21 – 30
MVPs	0	0	0	0	0 – 1

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

Boost / min	392.6
Avg boost	45.0
Boost stolen / game	369.9
% time at 0 boost	12.5%
Avg speed (uu/s)	1499.3
% supersonic	10.6%
% time high in air	4.1%
Avg distance to ball	3233.2
% time attacking third	16.3%
Demos / game	2.0
Demos taken / game	0.8
Shooting %	30.7%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Master	4	1.0	0.5	0.5	394
S21	Elite	14	1.36	0.5	1.0	403
S22	Elite	5	0.4	0.6	1.4	405
S24	Elite	29	0.72	0.52	1.59	383
S25	Elite	17	0.59	0.41	1.12	414
S26	Elite	8	0.88	0.38	1.12	393

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	0.78	0.71 – 0.88
Assists/game	0.38	0.4	0.32 – 0.5
Saves/game	1.12	1.14	1.11 – 1.38
Shots/game	2.88	2.53	2.38 – 2.68

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
SeefooO	S13	Elite	0.9	0.4	1.2	1.55
jknop2	S20	Veteran	0.75	0.38	1.29	1.84
Stone-Dog Millionaire	S24	Veteran	0.69	0.56	1.14	1.90
nate	S19	Prospect	1.0	0.5	1.5	1.93
DaItonJ	S20	Prospect	0.74	0.26	1.12	1.94
mykul.457	S17	Rival	0.75	0.25	1.38	1.95
Boulder God	S14	Contender	0.88	0.25	1.12	1.95
Just Kraze	S23	Master	1.25	0.62	1.0	1.99
Jonezy	S18	Challenger	0.81	0.5	1.12	2.02
Jordon1377	S13	Challenger	1.0	0.25	1.38	2.03

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.