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	299.0	9568	27th
Goals	0.56	18	23rd
Assists	0.38	12	20th
Saves	1.19	38	50th
Shots	2.31	74	44th
Demos	0.38	12	6th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	299.0	#759 / 1215	#96 / 161
Goals	0.56	#744 / 1215	#102 / 161
Assists	0.38	#761 / 1215	#103 / 161
Saves	1.19	#584 / 1215	#67 / 161
Demos	0.38	#887 / 1215	#125 / 161

60% of the season is played (32 → ~53 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 (79 games across 3 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	9568	15847	15980	15980	15853 – 16106
Goals	18	30	31	31	25 – 36
Assists	12	20	21	20	16 – 25
Saves	38	63	63	63	55 – 71
Shots	74	123	123	122	112 – 134
Demos	12	20	22	21	17 – 27
MVPs	2	3	4	4	2 – 6

From 28 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	357.6
Avg boost	48.4
Boost stolen / game	390.9
% time at 0 boost	12.7%
Avg speed (uu/s)	1445.0
% supersonic	9.9%
% time high in air	2.7%
Avg distance to ball	3211.7
% time attacking third	15.7%
Demos / game	0.4
Demos taken / game	0.6
Shooting %	25.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Amateur	50	1.0	0.4	1.42	333
S23	Challenger	7	0.43	0.14	0.71	328
S24	Challenger	16	0.5	0.31	1.0	360
S25	Challenger	13	0.46	0.31	0.77	353
S26	Prospect	28	0.64	0.39	1.21	358

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	0.64	0.7	0.65 – 0.72
Assists/game	0.39	0.39	0.38 – 0.5
Saves/game	1.21	1.24	1.19 – 1.39
Shots/game	2.57	2.4	2.2 – 2.5

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
Midnight	S25	Challenger	0.63	0.5	1.23	1.03
Ozzy	S20	Prospect	0.62	0.38	1.24	1.21
SRSExKAOS	S25	Rival	0.67	0.27	1.47	1.24
Cob	S17	Rival	0.93	0.29	1.21	1.26
Eskonor.	S25	Prospect	0.71	0.42	1.1	1.27
llokxz	S26	Contender	0.56	0.33	1.56	1.31
Beans	S13	Elite	0.7	0.4	1.2	1.31
mogulmaniac5480	S25	Rival	0.65	0.29	1.35	1.33
Ice Phoenix	S23	Veteran	0.7	0.57	1.34	1.34
Bushier Brow	S24	Veteran	0.63	0.39	1.59	1.35

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.