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	275.73	4136	17th
Goals	0.73	11	47th
Assists	0.33	5	11th
Saves	0.67	10	3rd
Shots	2.27	34	41st
Demos	1.53	23	92nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	275.73	#840 / 1215	#111 / 161
Goals	0.73	#509 / 1215	#69 / 161
Assists	0.33	#813 / 1215	#115 / 161
Saves	0.67	#913 / 1215	#128 / 161
Demos	1.53	#122 / 1215	#10 / 161

60% of the season is played (15 → ~25 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 (52 games across 1 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	4136	6893	7084	7084	7001 – 7168
Goals	11	18	18	20	14 – 22
Assists	5	8	9	10	6 – 12
Saves	10	17	19	17	14 – 23
Shots	34	57	57	59	50 – 64
Demos	23	38	36	34	31 – 42
MVPs	2	3	3	3	2 – 5

From 11 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	402.3
Avg boost	47.2
Boost stolen / game	286.5
% time at 0 boost	14.3%
Avg speed (uu/s)	1487.2
% supersonic	11.1%
% time high in air	2.8%
Avg distance to ball	3081.9
% time attacking third	20.0%
Demos / game	1.5
Demos taken / game	1.1
Shooting %	35.5%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Contender	52	1.02	0.69	0.77	387
S26	Prospect	11	0.73	0.27	0.82	402

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	0.73	0.71	0.67 – 0.86
Assists/game	0.27	0.34	0.3 – 0.4
Saves/game	0.82	1.0	0.94 – 1.09
Shots/game	2.0	2.1	2.0 – 2.17

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
xEaglex20X	S26	Prospect	0.69	0.31	0.81	1.00
DaddyBobGaming	S26	Contender	0.7	0.37	1.0	1.04
BUD-LITE4U	S13	Contender	0.7	0.3	0.7	1.11
Moist_Games	S26	Prospect	0.57	0.39	0.86	1.32
HuggingThor	S21	Contender	0.9	0.37	1.1	1.34
Mulliganisoup	S20	Contender	0.91	0.36	1.09	1.35
Rcmblocks	S19	Prospect	0.75	0.33	0.83	1.37
ONLYSLIM2198	S18	Amateur	0.67	0.29	0.46	1.44
Dizzy	S19	Master	0.5	0.2	0.7	1.45
Jay_Kay99	S19	Veteran	0.67	0.22	1.11	1.45

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.