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	345.71	2420	36th
Goals	0.43	3	8th
Assists	0.71	5	75th
Saves	1.71	12	84th
Shots	2.86	20	71st
Demos	0.57	4	15th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	345.71	#455 / 1215	#83 / 179
Goals	0.43	#859 / 1215	#118 / 179
Assists	0.71	#172 / 1215	#32 / 179
Saves	1.71	#105 / 1215	#20 / 179
Demos	0.57	#770 / 1215	#110 / 179

56% of the season is played (7 → ~12 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 (265 games across 6 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	2420	4149	4172	4172	4110 – 4234
Goals	3	5	6	6	3 – 9
Assists	5	9	8	9	6 – 11
Saves	12	21	20	19	16 – 24
Shots	20	34	34	34	28 – 39
Demos	4	7	8	8	5 – 11
MVPs	0	0	0	0	0 – 1

From 7 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	424.4
Avg boost	53.7
Boost stolen / game	671.3
% time at 0 boost	10.5%
Avg speed (uu/s)	1513.6
% supersonic	12.4%
% time high in air	4.6%
Avg distance to ball	2988.8
% time attacking third	23.1%
Demos / game	0.6
Demos taken / game	2.1
Shooting %	11.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Rival	8	1.12	0.12	0.75	354
S21	Rival	16	1.06	0.81	1.25	373
S22	Veteran	60	0.9	0.75	1.42	380
S23	Veteran	60	0.73	0.75	1.18	368
S24	Veteran	61	0.74	0.59	1.2	393
S25	Veteran	60	0.93	0.77	1.4	404
S26	Elite	7	0.43	0.71	1.71	424

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	0.74	0.73	0.68 – 0.79
Assists/game	0.59	0.59	0.56 – 0.65
Saves/game	1.2	1.18	1.12 – 1.24
Shots/game	2.46	2.52	2.42 – 2.65

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
CN Tyson	S24	Rival	0.69	0.53	1.24	0.57
Dub_Dill	S24	Elite	0.8	0.52	1.12	0.59
Cundy	S19	Veteran	0.64	0.57	1.14	0.63
Irozuh-	S23	Rival	0.62	0.6	1.21	0.65
Navik	S21	Elite	0.65	0.55	1.2	0.68
FriendBrady	S13	Rival	0.73	0.64	1.09	0.73
Foam	S24	Master	0.76	0.67	1.14	0.76
PoiisonDeath	S22	Veteran	0.79	0.67	1.04	0.82
Drupenson	S23	Rival	0.76	0.52	1.17	0.84
zxch(?)	S22	Veteran	0.68	0.68	1.28	0.85

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.