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	350.25	9807	48th
Goals	0.68	19	33rd
Assists	0.39	11	15th
Saves	1.54	43	68th
Shots	2.32	65	30th
Demos	0.86	24	38th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	350.25	#423 / 1215	#71 / 170
Goals	0.68	#589 / 1215	#91 / 170
Assists	0.39	#743 / 1215	#116 / 170
Saves	1.54	#221 / 1215	#43 / 170
Demos	0.86	#544 / 1215	#84 / 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 (115 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	9807	17512	17531	17531	17388 – 17674
Goals	19	34	34	34	28 – 41
Assists	11	20	21	21	16 – 26
Saves	43	77	76	77	67 – 85
Shots	65	116	117	117	106 – 129
Demos	24	43	44	44	37 – 51
MVPs	5	9	9	9	6 – 12

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	436.5
Avg boost	47.9
Boost stolen / game	589.2
% time at 0 boost	14.9%
Avg speed (uu/s)	1499.2
% supersonic	11.8%
% time high in air	5.1%
Avg distance to ball	2837.9
% time attacking third	20.1%
Demos / game	0.7
Demos taken / game	1.4
Shooting %	29.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Veteran	59	0.52	0.49	1.56	453
S25	Veteran	56	0.75	0.64	1.54	456
S26	Veteran	24	0.75	0.38	1.67	437

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	0.75	0.75	0.67 – 0.8
Assists/game	0.38	0.42	0.36 – 0.49
Saves/game	1.67	1.55	1.5 – 1.62
Shots/game	2.46	2.48	2.31 – 2.58

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
mxWEBBY	S19	Rival	0.75	0.5	1.58	0.96
EcHo.rll	S24	Challenger	0.6	0.33	1.73	1.01
AS-17.	S23	Challenger	0.91	0.3	1.52	1.11
EKA Luminous	S26	Elite	0.67	0.48	1.57	1.13
Chaddy	S25	Rival	0.88	0.56	1.58	1.13
EllectroZx	S21	Premier	0.83	0.42	1.75	1.14
DribblingPenguin	S17	Rival	0.75	0.38	1.75	1.19
Rock_Sause	S25	Elite	0.77	0.45	1.67	1.21
dyl	S23	Challenger	0.78	0.39	1.35	1.23
ingin!	S23	Elite	0.67	0.27	1.73	1.25

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

---

Data source: live (rscna.com) - standings & schedule refresh hourly.