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 Veteran)

Stat	Per game	Total	Percentile in tier
Points	375.67	4508	72nd
Goals	0.83	10	61st
Assists	0.67	8	66th
Saves	1.33	16	41st
Shots	2.58	31	47th
Demos	0.83	10	35th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	375.67	#237 / 1215	#38 / 170
Goals	0.83	#331 / 1215	#49 / 170
Assists	0.67	#229 / 1215	#39 / 170
Saves	1.33	#430 / 1215	#79 / 170
Demos	0.83	#564 / 1215	#86 / 170

56% of the season is played (12 → ~21 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 (161 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	4508	7889	7811	7811	7722 – 7900
Goals	10	18	17	18	13 – 21
Assists	8	14	14	14	10 – 17
Saves	16	28	28	28	23 – 34
Shots	31	54	54	56	47 – 62
Demos	10	18	18	21	14 – 23
MVPs	1	2	2	2	1 – 4

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	354.9
Avg boost	48.4
Boost stolen / game	603.8
% time at 0 boost	8.5%
Avg speed (uu/s)	1486.2
% supersonic	13.5%
% time high in air	4.7%
Avg distance to ball	2928.9
% time attacking third	21.1%
Demos / game	0.8
Demos taken / game	1.1
Shooting %	36.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Prospect	8	0.75	0.5	0.88	397
S23	Rival	43	0.88	0.63	1.4	360
S24	Rival	52	0.81	0.56	1.1	354
S25	Rival	58	1.24	0.78	1.28	360
S26	Veteran	12	0.83	0.67	1.33	355

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	0.83	0.88	0.79 – 0.9
Assists/game	0.67	0.61	0.58 – 0.65
Saves/game	1.33	1.41	1.35 – 1.47
Shots/game	2.58	2.64	2.52 – 2.74

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
JustLaben	S24	Veteran	0.9	0.58	1.35	0.77
JustABurgerGuy	S25	Veteran	0.8	0.6	1.15	0.77
Dolphino	S13	Elite	0.83	0.58	1.42	0.81
GamerNamedLouis	S26	Challenger	0.86	0.66	1.14	0.83
sYNXNZ.	S22	Veteran	0.88	0.63	1.41	0.85
Joxtrot	S23	Master	0.97	0.67	1.45	0.92
BobbyWitDatT00L	S24	Master	0.84	0.54	1.45	0.94
Absolutely TOR	S26	Veteran	0.78	0.59	1.19	0.94
TangentOgive	S25	Elite	0.9	0.59	1.22	0.95
IlLuSiOnChAoS	S25	Prospect	0.87	0.64	1.36	0.95

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.