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	390.84	12507	79th
Goals	1.0	32	85th
Assists	0.34	11	10th
Saves	1.62	52	72nd
Shots	2.81	90	67th
Demos	2.12	68	97th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	390.84	#159 / 1215	#27 / 179
Goals	1.0	#132 / 1215	#13 / 179
Assists	0.34	#806 / 1215	#115 / 179
Saves	1.62	#156 / 1215	#36 / 179
Demos	2.12	#32 / 1215	#4 / 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). Projected (all data) instead regresses toward the player’s own career rate (45 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	12507	22278	22097	22097	21937 – 22257
Goals	32	57	56	54	48 – 64
Assists	11	20	21	23	16 – 26
Saves	52	93	91	92	81 – 102
Shots	90	160	159	159	146 – 173
Demos	68	121	116	115	105 – 127
MVPs	13	23	22	22	17 – 27

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	407.3
Avg boost	50.5
Boost stolen / game	655.2
% time at 0 boost	9.6%
Avg speed (uu/s)	1565.2
% supersonic	15.0%
% time high in air	4.7%
Avg distance to ball	2900.6
% time attacking third	21.6%
Demos / game	2.1
Demos taken / game	0.8
Shooting %	32.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Elite	45	0.58	0.82	1.51	391
S26	Elite	28	0.82	0.36	1.64	407

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	0.78	0.71 – 0.88
Assists/game	0.36	0.45	0.4 – 0.5
Saves/game	1.64	1.6	1.5 – 1.69
Shots/game	2.61	2.65	2.54 – 2.75

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
DoorTK	S22	Master	0.75	0.5	1.62	0.88
oiNio	S20	Rival	0.82	0.53	1.76	1.12
J.Boosted	S25	Master	0.71	0.36	1.93	1.14
Blaiyzur	S25	Veteran	0.77	0.33	1.6	1.14
CommanderBoy	S24	Elite	0.72	0.45	1.51	1.26
N0TTopmarx	S24	Rival	0.8	0.4	1.54	1.27
rafiki	S26	Master	0.8	0.33	1.47	1.29
MagesticEagle1	S23	Rival	0.64	0.53	1.64	1.31
N0TTopmarx	S26	Challenger	0.88	0.42	1.67	1.31
Blaiyzur	S26	Veteran	0.73	0.46	2.0	1.37

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.