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 Master)

Stat	Per game	Total	Percentile in tier
Points	399.58	4795	83rd
Goals	0.67	8	40th
Assists	0.33	4	18th
Saves	2.0	24	91st
Shots	3.42	41	92nd
Demos	1.08	13	46th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Master
Points	399.58	#130 / 1213	#13 / 107
Goals	0.67	#585 / 1213	#46 / 107
Assists	0.33	#798 / 1213	#63 / 107
Saves	2.0	#28 / 1213	#6 / 107
Demos	1.08	#341 / 1213	#42 / 107

60% of the season is played (12 → ~20 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 (184 games across 4 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	4795	7992	7837	7837	7753 – 7921
Goals	8	13	14	14	10 – 17
Assists	4	7	7	8	5 – 10
Saves	24	40	38	38	32 – 44
Shots	41	68	66	66	58 – 73
Demos	13	22	22	20	17 – 27
MVPs	3	5	5	5	3 – 7

From 12 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	402.7
Avg boost	50.7
Boost stolen / game	635.0
% time at 0 boost	7.8%
Avg speed (uu/s)	1541.0
% supersonic	14.3%
% time high in air	4.0%
Avg distance to ball	2854.0
% time attacking third	22.1%
Demos / game	1.1
Demos taken / game	0.8
Shooting %	21.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Veteran	59	1.1	0.59	1.58	396
S23	Elite	23	0.78	0.65	1.87	374
S24	Elite	64	1.02	0.58	1.44	369
S25	Master	38	0.63	0.76	1.47	360
S26	Master	12	0.67	0.33	2.0	403

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	0.67	0.75	0.69 – 0.87
Assists/game	0.33	0.39	0.35 – 0.5
Saves/game	2.0	1.76	1.62 – 1.91
Shots/game	3.42	3.04	2.94 – 3.25

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
taLz.	S25	Master	0.74	0.35	1.76	1.19
Zip	S17	Premier	0.62	0.5	1.75	1.50
Slowsociety	S25	Challenger	0.62	0.38	2.0	1.55
MaggieZerua	S23	Master	0.82	0.57	1.92	1.57
snizdrift	S19	Premier	0.75	0.5	1.62	1.59
LEUMYY	S25	Premier	0.8	0.35	1.6	1.63
Roman.	S17	Premier	0.62	0.38	1.62	1.64
Feen	S18	Veteran	0.5	0.42	1.75	1.69
zack	S21	Elite	0.88	0.38	1.62	1.70
Rock_Sause	S24	Elite	0.84	0.49	1.57	1.74

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.