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	401.92	9646	85th
Goals	1.08	26	91st
Assists	0.83	20	91st
Saves	1.38	33	44th
Shots	3.21	77	85th
Demos	0.88	21	36th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Master
Points	401.92	#125 / 1213	#12 / 107
Goals	1.08	#106 / 1213	#6 / 107
Assists	0.83	#71 / 1213	#7 / 107
Saves	1.38	#381 / 1213	#44 / 107
Demos	0.88	#511 / 1213	#50 / 107

60% of the season is played (24 → ~40 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 (131 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	9646	16077	15874	15874	15750 – 15998
Goals	26	43	42	42	36 – 48
Assists	20	33	32	32	27 – 38
Saves	33	55	55	57	48 – 62
Shots	77	128	126	127	115 – 137
Demos	21	35	36	36	30 – 42
MVPs	7	12	11	11	8 – 14

From 24 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	469.6
Avg boost	48.9
Boost stolen / game	567.2
% time at 0 boost	16.9%
Avg speed (uu/s)	1595.4
% supersonic	18.9%
% time high in air	4.3%
Avg distance to ball	3086.8
% time attacking third	18.5%
Demos / game	0.9
Demos taken / game	0.8
Shooting %	33.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Elite	56	0.93	0.7	1.73	491
S24	Master	20	0.75	0.15	2.1	463
S25	Master	55	0.73	0.56	1.67	474
S26	Master	24	1.08	0.83	1.38	470

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	1.08	0.97	0.92 – 1.18
Assists/game	0.83	0.75	0.7 – 0.82
Saves/game	1.38	1.48	1.42 – 1.52
Shots/game	3.21	3.07	2.83 – 3.2

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
Monster.	S21	Premier	1.17	0.75	1.25	1.39
Hxvnly	S26	Rival	1.19	0.66	1.31	1.42
spoody	S22	Premier	0.93	0.67	1.56	1.49
Nahzey	S20	Veteran	1.25	0.92	1.33	1.50
CantaloupeL0VER	S23	Elite	0.93	0.7	1.73	1.52
Fused Gavin	S21	Elite	1.06	0.81	1.38	1.52
Gojo.	S21	Veteran	1.18	0.82	1.18	1.53
Noriko	S22	Master	1.18	0.64	1.54	1.57
Machnetic	S23	Rival	0.92	0.9	1.43	1.58
Ace!	S23	Premier	0.77	0.71	1.48	1.60

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.