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	360.46	10093	56th
Goals	0.68	19	37th
Assists	0.46	13	27th
Saves	1.82	51	85th
Shots	2.32	65	29th
Demos	0.46	13	4th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Premier
Points	360.46	#341 / 1213	#23 / 73
Goals	0.68	#579 / 1213	#33 / 73
Assists	0.46	#609 / 1213	#37 / 73
Saves	1.82	#65 / 1213	#8 / 73
Demos	0.46	#835 / 1213	#50 / 73

64% of the season is played (28 → ~44 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 (167 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	10093	15860	15869	15869	15752 – 15986
Goals	19	30	30	31	25 – 35
Assists	13	20	21	21	16 – 25
Saves	51	80	79	79	71 – 87
Shots	65	102	104	106	94 – 113
Demos	13	20	23	21	18 – 28
MVPs	2	3	3	3	2 – 5

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	399.5
Avg boost	52.5
Boost stolen / game	510.7
% time at 0 boost	7.7%
Avg speed (uu/s)	1560.6
% supersonic	15.1%
% time high in air	5.2%
Avg distance to ball	3085.7
% time attacking third	19.9%
Demos / game	0.5
Demos taken / game	1.5
Shooting %	44.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Elite	16	1.25	0.56	1.81	358
S23	Master	54	0.7	0.63	1.57	362
S24	Premier	51	0.88	0.63	1.02	366
S25	Premier	46	0.8	0.83	1.83	372
S26	Premier	28	0.68	0.46	1.82	400

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	0.68	0.67	0.62 – 0.75
Assists/game	0.46	0.5	0.44 – 0.58
Saves/game	1.82	1.75	1.67 – 1.83
Shots/game	2.32	2.33	2.25 – 2.46

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
Plasma	S21	Master	0.62	0.48	1.72	0.51
rwalls516r	S20	Prospect	0.67	0.44	1.78	0.55
Ghxst	S23	Master	0.64	0.56	1.8	0.83
EllectroZx	S21	Premier	0.83	0.42	1.75	0.92
Biscuitboi.	S21	Rival	0.75	0.5	2.0	0.97
Zeke is HELP	S25	Veteran	0.56	0.56	1.74	1.04
ValuedSquash465	S22	Prospect	0.78	0.33	1.67	1.13
TRS_Rival	S20	Master	0.75	0.58	1.58	1.16
sleepzey	S14	Challenger	0.62	0.5	1.75	1.16
ayylo	S25	Premier	0.67	0.63	1.72	1.17

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.