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	333.86	9348	29th
Goals	0.57	16	18th
Assists	0.61	17	55th
Saves	1.18	33	26th
Shots	2.18	61	21st
Demos	0.54	15	12th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	333.86	#553 / 1215	#96 / 170
Goals	0.57	#732 / 1215	#111 / 170
Assists	0.61	#334 / 1215	#61 / 170
Saves	1.18	#595 / 1215	#101 / 170
Demos	0.54	#790 / 1215	#119 / 170

56% of the season is played (28 → ~50 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 (100 games across 2 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	9348	16693	16791	16791	16651 – 16932
Goals	16	29	30	30	24 – 36
Assists	17	30	30	30	24 – 36
Saves	33	59	60	62	52 – 68
Shots	61	109	111	112	100 – 123
Demos	15	27	29	29	23 – 36
MVPs	2	4	4	4	2 – 6

From 27 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	378.0
Avg boost	46.8
Boost stolen / game	371.6
% time at 0 boost	12.5%
Avg speed (uu/s)	1514.1
% supersonic	10.0%
% time high in air	4.9%
Avg distance to ball	2808.0
% time attacking third	17.4%
Demos / game	0.6
Demos taken / game	1.0
Shooting %	37.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Veteran	46	0.74	0.44	1.44	356
S25	Veteran	54	0.89	0.7	1.76	384
S26	Veteran	27	0.56	0.56	1.41	378

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	0.56	0.54	0.47 – 0.61
Assists/game	0.56	0.5	0.45 – 0.59
Saves/game	1.41	1.38	1.3 – 1.44
Shots/game	1.89	2.08	1.88 – 2.14

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
Hamm.	S23	Rival	0.54	0.54	1.38	0.88
woah_kalebb	S25	Veteran	0.63	0.56	1.48	0.91
Ay.Josh	S21	Rival	0.48	0.63	1.15	1.00
chefty	S22	Veteran	0.48	0.48	1.41	1.04
Pelex	S23	Veteran	0.67	0.58	1.17	1.11
Braybaum02	S24	Veteran	0.55	0.45	1.6	1.11
EzPz Scopezz	S13	Elite	0.62	0.62	1.38	1.11
GrandPlat	S24	Master	0.52	0.71	1.38	1.13
D_e_r_k	S26	Rival	0.62	0.69	1.38	1.14
st3althyninja1	S25	Challenger	0.56	0.46	1.49	1.15

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.