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	379.07	10614	69th
Goals	0.86	24	69th
Assists	1.04	29	97th
Saves	1.11	31	27th
Shots	2.61	73	53rd
Demos	1.36	38	58th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Master
Points	379.07	#223 / 1213	#24 / 107
Goals	0.86	#318 / 1213	#23 / 107
Assists	1.04	#14 / 1213	#2 / 107
Saves	1.11	#647 / 1213	#57 / 107
Demos	1.36	#199 / 1213	#33 / 107

60% of the season is played (28 → ~47 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 (54 games across 1 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	10614	17816	17699	17699	17565 – 17832
Goals	24	40	40	41	33 – 46
Assists	29	49	46	45	40 – 53
Saves	31	52	53	55	46 – 61
Shots	73	123	122	124	111 – 133
Demos	38	64	63	63	55 – 71
MVPs	5	8	8	8	5 – 11

From 28 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	425.3
Avg boost	48.1
Boost stolen / game	546.2
% time at 0 boost	16.7%
Avg speed (uu/s)	1518.4
% supersonic	15.9%
% time high in air	6.4%
Avg distance to ball	2796.5
% time attacking third	20.9%
Demos / game	1.4
Demos taken / game	1.7
Shooting %	39.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Elite	54	1.06	0.43	1.57	445
S26	Master	28	0.86	1.04	1.11	425

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	0.86	0.81	0.75 – 1.0
Assists/game	1.04	0.9	0.81 – 1.0
Saves/game	1.11	1.24	1.11 – 1.33
Shots/game	2.61	2.64	2.5 – 2.71

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
RollsRoyceOwner	S17	Elite	0.92	1.08	1.33	1.09
Monty.	S19	Veteran	0.75	1.08	1.17	1.18
BIGbadBULLMAN13	S17	Rival	0.79	1.04	1.5	1.22
swazy.	S13	Premier	0.8	1.0	1.33	1.28
Hirsch	S22	Master	0.81	0.88	1.31	1.39
NGU_IC3	S20	Challenger	0.75	1.17	1.33	1.45
3 12 9 24 25	S26	Rival	0.75	1.0	1.25	1.46
xim	S22	Master	1.0	1.0	1.12	1.47
taz.rm	S19	Veteran	1.0	1.0	1.0	1.47
PublicEnemy#1	S23	Veteran	1.07	1.0	1.11	1.51

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.