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 Rival)

Stat	Per game	Total	Percentile in tier
Points	359.81	11514	62nd
Goals	1.03	33	86th
Assists	0.69	22	79th
Saves	1.34	43	50th
Shots	2.72	87	68th
Demos	0.75	24	27th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Rival
Points	359.81	#349 / 1213	#50 / 164
Goals	1.03	#134 / 1213	#18 / 164
Assists	0.69	#207 / 1213	#28 / 164
Saves	1.34	#416 / 1213	#64 / 164
Demos	0.75	#620 / 1213	#94 / 164

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 (95 games across 2 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	11514	20509	20427	20427	20273 – 20582
Goals	33	59	57	57	49 – 65
Assists	22	39	38	38	32 – 45
Saves	43	77	77	74	67 – 86
Shots	87	155	154	152	141 – 167
Demos	24	43	44	41	37 – 52
MVPs	5	9	9	9	6 – 12

From 32 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	405.0
Avg boost	47.4
Boost stolen / game	462.8
% time at 0 boost	13.9%
Avg speed (uu/s)	1535.0
% supersonic	15.5%
% time high in air	3.9%
Avg distance to ball	2941.4
% time attacking third	21.4%
Demos / game	0.8
Demos taken / game	1.0
Shooting %	36.7%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Rival	52	0.83	0.67	0.92	401
S25	Veteran	43	0.7	0.46	1.07	411
S26	Rival	32	1.03	0.69	1.34	405

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	1.03	1.0	0.92 – 1.08
Assists/game	0.69	0.67	0.62 – 0.72
Saves/game	1.34	1.36	1.33 – 1.42
Shots/game	2.72	2.75	2.59 – 2.88

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
XT10 OAKY	S21	Rival	1.0	0.73	1.36	0.71
BIGbadBULLMAN13	S19	Rival	1.12	0.62	1.5	0.72
PayloSoul	S25	Master	0.97	0.77	1.34	0.77
Vera	S23	Rival	0.95	0.72	1.42	0.86
BBlaazee.	S25	Challenger	0.92	0.72	1.14	0.91
Cognitixn	S23	Rival	1.13	0.71	1.36	0.95
Joe	S21	Elite	0.88	0.71	1.33	0.96
Donkmedaddy	S18	Rival	1.0	0.78	1.48	0.96
NotLuke9	S24	Veteran	0.91	0.68	1.38	0.97
Cloudburst	S23	Elite	1.02	0.62	1.44	0.98

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.