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 Premier)

Stat	Per game	Total	Percentile in tier
Points	405.62	3245	77th
Goals	0.62	5	33rd
Assists	0.38	3	17th
Saves	2.25	18	98th
Shots	2.5	20	42nd
Demos	1.0	8	31st

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Premier
Points	405.62	#109 / 1213	#12 / 73
Goals	0.62	#649 / 1213	#35 / 73
Assists	0.38	#750 / 1213	#43 / 73
Saves	2.25	#9 / 1213	#1 / 73
Demos	1.0	#381 / 1213	#31 / 73

64% of the season is played (8 → ~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 (65 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	3245	4868	4782	4782	4726 – 4838
Goals	5	8	8	7	5 – 10
Assists	3	4	5	5	3 – 7
Saves	18	27	25	26	21 – 29
Shots	20	30	30	30	26 – 35
Demos	8	12	13	14	9 – 16
MVPs	2	3	3	3	2 – 4

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

Boost / min	411.3
Avg boost	49.7
Boost stolen / game	642.0
% time at 0 boost	12.7%
Avg speed (uu/s)	1573.2
% supersonic	18.6%
% time high in air	7.2%
Avg distance to ball	2905.6
% time attacking third	21.3%
Demos / game	1.0
Demos taken / game	1.2
Shooting %	25.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Elite	24	0.75	0.75	1.96	429
S23	Master	41	0.54	0.71	2.07	401
S25	Premier	4	0.5	1.0	1.5	398
S26	Premier	8	0.62	0.38	2.25	411

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	0.62	0.75	0.68 – 0.77
Assists/game	0.38	0.5	0.35 – 0.56
Saves/game	2.25	2.0	1.85 – 2.12
Shots/game	2.5	2.56	2.43 – 2.69

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
Brody	S22	Premier	0.44	0.52	2.3	1.08
Nika	S26	Premier	0.59	0.5	2.03	1.14
CrowBar7570	S25	Rival	0.68	0.57	2.0	1.45
Monty.	S20	Veteran	0.56	0.38	2.12	1.48
jattszn	S22	Premier	0.75	0.3	1.85	1.52
Kaorix	S26	Premier	0.57	0.36	2.14	1.54
Fused Gavin	S26	Master	0.45	0.45	2.15	1.54
Sakuta	S24	Elite	0.77	0.61	2.02	1.56
Verza	S20	Veteran	0.75	0.5	2.08	1.58
AriseDaft	S21	Rival	0.81	0.44	2.38	1.65

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.