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	412.69	13206	92nd
Goals	0.81	26	57th
Assists	0.44	14	22nd
Saves	2.06	66	98th
Shots	2.59	83	50th
Demos	1.06	34	59th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	412.69	#87 / 1215	#10 / 179
Goals	0.81	#372 / 1215	#55 / 179
Assists	0.44	#668 / 1215	#101 / 179
Saves	2.06	#20 / 1215	#1 / 179
Demos	1.06	#353 / 1215	#52 / 179

56% of the season is played (32 → ~57 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	13206	23523	23233	23069 – 23396
Goals	26	46	46	39 – 53
Assists	14	25	26	20 – 31
Saves	66	118	114	103 – 126
Shots	83	148	148	135 – 161
Demos	34	61	61	52 – 69
MVPs	7	12	12	8 – 16

From 28 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	433.3
Avg boost	51.5
Boost stolen / game	576.9
% time at 0 boost	10.8%
Avg speed (uu/s)	1636.2
% supersonic	21.8%
% time high in air	5.9%
Avg distance to ball	2910.3
% time attacking third	19.5%
Demos / game	1.0
Demos taken / game	1.1
Shooting %	32.2%

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	0.82	0.8	0.73 – 0.88
Assists/game	0.46	0.52	0.42 – 0.57
Saves/game	1.96	1.78	1.67 – 1.89
Shots/game	2.54	2.69	2.6 – 2.91

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
Oibu	S24	Premier	0.91	0.6	1.89	0.83
spuf.	S21	Master	0.73	0.47	1.87	0.96
Fused Gavin	S25	Elite	0.77	0.64	1.81	1.13
Verza	S20	Veteran	0.75	0.5	2.08	1.13
Oibu	S23	Master	0.86	0.61	2.27	1.26
MsNiico	S20	Rival	0.58	0.42	1.67	1.41
donald.	S23	Elite	0.89	0.46	1.64	1.47
jattszn	S22	Premier	0.75	0.3	1.85	1.50
Oibu	S25	Premier	0.71	0.41	1.5	1.54
harp NO boost	S25	Veteran	0.62	0.58	1.89	1.58

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.