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	317.92	8266	32nd
Goals	0.5	13	13th
Assists	0.58	15	59th
Saves	1.38	36	65th
Shots	2.19	57	26th
Demos	0.54	14	19th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	317.92	#662 / 1215	#90 / 166
Goals	0.5	#791 / 1215	#115 / 166
Assists	0.58	#395 / 1215	#55 / 166
Saves	1.38	#376 / 1215	#46 / 166
Demos	0.54	#785 / 1215	#107 / 166

60% of the season is played (26 → ~43 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 (67 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	8266	13671	13764	13764	13648 – 13881
Goals	13	22	23	24	18 – 27
Assists	15	25	25	25	20 – 30
Saves	36	60	59	58	52 – 67
Shots	57	94	95	98	86 – 105
Demos	14	23	25	24	20 – 30
MVPs	2	3	4	4	2 – 6

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	308.5
Avg boost	51.1
Boost stolen / game	337.9
% time at 0 boost	5.8%
Avg speed (uu/s)	1452.9
% supersonic	8.7%
% time high in air	4.1%
Avg distance to ball	2878.3
% time attacking third	17.7%
Demos / game	0.5
Demos taken / game	1.0
Shooting %	23.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Challenger	15	0.93	0.4	1.33	342
S25	Challenger	52	0.94	0.69	0.96	344
S26	Challenger	24	0.5	0.54	1.42	308

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	0.5	0.57	0.5 – 0.61
Assists/game	0.54	0.52	0.49 – 0.58
Saves/game	1.42	1.38	1.3 – 1.5
Shots/game	2.21	2.14	2.08 – 2.29

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
ShelbyCyan	S23	Rival	0.56	0.48	1.33	0.76
Speciial_Eddy	S22	Challenger	0.45	0.55	1.4	0.85
Auty RL	S26	Challenger	0.69	0.5	1.47	0.88
Rob	S23	Prospect	0.43	0.48	1.48	0.91
MoonKnight2	S25	Contender	0.55	0.49	1.34	0.93
Droogin01	S22	Contender	0.55	0.59	1.27	0.94
Ole.Mr.Bison.	S25	Prospect	0.62	0.5	1.5	0.98
xPrism	S24	Rival	0.57	0.67	1.2	1.01
TunedUpTuck	S25	Challenger	0.62	0.52	1.38	1.04
El_Macho	S25	Prospect	0.5	0.6	1.6	1.08

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.