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 Challenger)

Stat	Per game	Total	Percentile in tier
Points	329.09	7569	42nd
Goals	0.52	12	15th
Assists	0.48	11	40th
Saves	1.39	32	67th
Shots	2.65	61	63rd
Demos	0.91	21	51st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	329.09	#591 / 1215	#77 / 166
Goals	0.52	#785 / 1215	#113 / 166
Assists	0.48	#595 / 1215	#80 / 166
Saves	1.39	#368 / 1215	#44 / 166
Demos	0.91	#508 / 1215	#65 / 166

60% of the season is played (23 → ~38 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 (86 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	7569	12505	12553	12553	12442 – 12663
Goals	12	20	21	21	16 – 25
Assists	11	18	18	19	14 – 23
Saves	32	53	52	52	45 – 60
Shots	61	101	100	101	90 – 110
Demos	21	35	35	37	29 – 41
MVPs	3	5	5	5	3 – 7

From 19 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	369.3
Avg boost	52.5
Boost stolen / game	503.3
% time at 0 boost	9.6%
Avg speed (uu/s)	1517.3
% supersonic	13.0%
% time high in air	4.2%
Avg distance to ball	2864.0
% time attacking third	23.2%
Demos / game	0.9
Demos taken / game	1.1
Shooting %	21.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Rival	28	0.68	0.43	1.36	384
S25	Challenger	58	0.9	0.66	1.09	402
S26	Challenger	19	0.47	0.47	1.42	369

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	0.47	0.58	0.52 – 0.67
Assists/game	0.47	0.49	0.44 – 0.53
Saves/game	1.42	1.36	1.24 – 1.52
Shots/game	2.21	2.27	2.12 – 2.32

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
TheFrostNL	S23	Veteran	0.47	0.47	1.33	0.78
Legend	S23	Elite	0.38	0.38	1.54	0.99
Lad	S25	Elite	0.67	0.41	1.44	1.00
Girth	S25	Master	0.55	0.55	1.54	1.05
Killer	S23	Elite	0.52	0.61	1.36	1.05
Sicey	S14	Premier	0.42	0.42	1.17	1.15
Daylon	S21	Elite	0.38	0.5	1.12	1.15
Yaki	S25	Elite	0.71	0.44	1.44	1.15
Zay	S25	Rival	0.76	0.46	1.54	1.15
Nebulade	S25	Veteran	0.65	0.49	1.32	1.16

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.