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 Prospect)

Stat	Per game	Total	Percentile in tier
Points	291.17	6697	23rd
Goals	0.43	10	11th
Assists	0.43	10	30th
Saves	1.48	34	77th
Shots	1.65	38	9th
Demos	0.48	11	17th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	291.17	#797 / 1215	#103 / 161
Goals	0.43	#855 / 1215	#118 / 161
Assists	0.43	#676 / 1215	#91 / 161
Saves	1.48	#291 / 1215	#30 / 161
Demos	0.48	#840 / 1215	#111 / 161

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 (85 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	6697	11065	11217	11217	11112 – 11322
Goals	10	17	18	19	13 – 22
Assists	10	17	17	17	13 – 21
Saves	34	56	55	56	48 – 62
Shots	38	63	66	67	57 – 74
Demos	11	18	20	19	15 – 25
MVPs	2	3	4	4	2 – 6

From 23 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	292.2
Avg boost	51.5
Boost stolen / game	343.2
% time at 0 boost	6.0%
Avg speed (uu/s)	1365.9
% supersonic	7.9%
% time high in air	2.4%
Avg distance to ball	3252.7
% time attacking third	15.4%
Demos / game	0.5
Demos taken / game	1.2
Shooting %	18.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Prospect	50	0.92	0.48	1.58	319
S25	Prospect	35	0.86	0.37	1.46	330
S26	Prospect	23	0.44	0.44	1.48	292

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	0.43	0.46	0.4 – 0.5
Assists/game	0.43	0.36	0.31 – 0.5
Saves/game	1.48	1.39	1.33 – 1.53
Shots/game	1.65	1.75	1.52 – 1.92

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
Djras1996	S14	Rival	0.46	0.36	1.46	0.93
Schwiftyjv	S13	Challenger	0.42	0.25	1.33	1.04
sky406	S14	Contender	0.62	0.5	1.62	1.05
Furian	S21	Contender	0.5	0.35	1.55	1.09
Just Zainnox	S23	Challenger	0.52	0.56	1.33	1.14
SlightlyOn	S14	Rival	0.5	0.5	1.58	1.18
ReformedMike	S24	Prospect	0.5	0.36	1.5	1.19
MoonKnight2	S21	Amateur	0.5	0.6	1.5	1.25
beNgr33dy	S17	Contender	0.38	0.38	1.62	1.26
ADeadM0053	S21	Master	0.38	0.25	1.62	1.28

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.