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	385.82	8488	74th
Goals	0.64	14	26th
Assists	0.82	18	89th
Saves	1.68	37	78th
Shots	2.32	51	28th
Demos	1.5	33	81st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	385.82	#184 / 1215	#34 / 179
Goals	0.64	#644 / 1215	#95 / 179
Assists	0.82	#78 / 1215	#14 / 179
Saves	1.68	#124 / 1215	#28 / 179
Demos	1.5	#129 / 1215	#21 / 179

56% of the season is played (22 → ~39 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	8488	15047	14905	14777 – 15034
Goals	14	25	25	20 – 31
Assists	18	32	31	25 – 37
Saves	37	66	64	56 – 73
Shots	51	90	92	81 – 102
Demos	33	58	57	49 – 64
MVPs	2	4	4	2 – 6

From 18 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	372.3
Avg boost	47.6
Boost stolen / game	425.9
% time at 0 boost	11.3%
Avg speed (uu/s)	1487.5
% supersonic	13.1%
% time high in air	4.3%
Avg distance to ball	2675.5
% time attacking third	20.1%
Demos / game	1.4
Demos taken / game	1.0
Shooting %	32.7%

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	0.78	0.73	0.65 – 0.81
Assists/game	0.61	0.6	0.55 – 0.62
Saves/game	1.72	1.61	1.56 – 1.72
Shots/game	2.28	2.29	2.2 – 2.42

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
trock	S23	Veteran	0.67	0.62	1.65	0.64
trock	S24	Veteran	0.73	0.52	1.6	0.81
jknop2	S22	Veteran	0.65	0.68	1.72	0.85
johkev	S24	Challenger	0.85	0.62	1.47	0.89
Ghostie	S26	Rival	0.69	0.55	1.55	0.91
Phelpsy	S23	Elite	0.62	0.56	1.6	0.98
Packers	S23	Master	0.8	0.6	1.64	1.02
Whiffy_RL	S23	Challenger	0.69	0.51	1.49	1.06
Meatrius	S13	Veteran	0.83	0.5	1.75	1.07
Super	S23	Master	0.71	0.53	1.58	1.08

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.