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 Veteran)

Stat	Per game	Total	Percentile in tier
Points	306.12	2449	12th
Goals	1.0	8	79th
Assists	0.12	1	1st
Saves	1.12	9	20th
Shots	2.25	18	26th
Demos	0.75	6	26th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	306.12	#722 / 1215	#120 / 170
Goals	1.0	#132 / 1215	#21 / 170
Assists	0.12	#923 / 1215	#135 / 170
Saves	1.12	#656 / 1215	#108 / 170
Demos	0.75	#633 / 1215	#99 / 170

56% of the season is played (8 → ~14 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 (121 games across 3 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	2449	4286	4429	4429	4363 – 4496
Goals	8	14	13	13	10 – 17
Assists	1	2	3	3	1 – 5
Saves	9	16	17	18	12 – 21
Shots	18	32	33	32	27 – 38
Demos	6	10	11	10	8 – 15
MVPs	1	2	2	2	1 – 3

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	350.6
Avg boost	48.2
Boost stolen / game	550.5
% time at 0 boost	8.4%
Avg speed (uu/s)	1432.5
% supersonic	8.9%
% time high in air	3.6%
Avg distance to ball	3173.6
% time attacking third	20.7%
Demos / game	0.8
Demos taken / game	1.5
Shooting %	44.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Veteran	8	0.5	0.25	1.25	347
S24	Rival	62	0.9	0.56	1.76	380
S25	Veteran	51	0.61	0.49	1.82	373
S26	Veteran	8	1.0	0.12	1.12	351

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	1.0	0.83	0.82 – 0.94
Assists/game	0.12	0.26	0.25 – 0.31
Saves/game	1.12	1.13	0.95 – 1.2
Shots/game	2.25	2.41	2.18 – 2.56

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
Pure_Pusher	S23	Challenger	1.08	0.26	1.25	1.23
DinninDu	S23	Rival	0.81	0.31	1.08	1.25
baltostorm	S23	Challenger	1.0	0.2	1.2	1.27
TyTy	S14	Elite	0.81	0.31	1.12	1.37
Trudsky	S18	Challenger	1.0	0.0	1.27	1.39
Deifik	S17	Challenger	0.82	0.27	1.0	1.39
SHHHM3LLIT	S20	Contender	0.82	0.24	0.88	1.41
ShiftDrink	S24	Challenger	0.83	0.14	1.33	1.44
AKU Lmlt	S14	Challenger	0.83	0.25	0.83	1.46
dyl	S21	Challenger	0.75	0.25	1.15	1.49

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.