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	382.29	10704	79th
Goals	1.18	33	95th
Assists	0.54	15	52nd
Saves	1.18	33	34th
Shots	2.79	78	74th
Demos	0.57	16	22nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	382.29	#207 / 1215	#28 / 166
Goals	1.18	#51 / 1215	#7 / 166
Assists	0.54	#469 / 1215	#64 / 166
Saves	1.18	#595 / 1215	#87 / 166
Demos	0.57	#770 / 1215	#103 / 166

60% of the season is played (28 → ~47 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 (115 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	10704	17967	17794	17794	17661 – 17928
Goals	33	55	54	53	46 – 61
Assists	15	25	25	24	20 – 30
Saves	33	55	56	56	48 – 63
Shots	78	131	130	129	118 – 141
Demos	16	27	29	27	23 – 34
MVPs	5	8	8	8	5 – 11

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	313.2
Avg boost	46.8
Boost stolen / game	381.9
% time at 0 boost	8.0%
Avg speed (uu/s)	1406.9
% supersonic	5.9%
% time high in air	4.1%
Avg distance to ball	3054.9
% time attacking third	19.8%
Demos / game	0.6
Demos taken / game	1.2
Shooting %	40.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Challenger	13	0.69	0.15	1.38	267
S23	Rival	51	0.9	0.49	1.47	258
S24	Rival	51	0.8	0.29	1.18	290
S26	Challenger	24	1.17	0.5	1.21	313

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	1.17	1.1	1.0 – 1.15
Assists/game	0.5	0.52	0.46 – 0.54
Saves/game	1.21	1.21	1.08 – 1.33
Shots/game	2.92	2.91	2.8 – 3.12

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
MoonKnight2	S22	Amateur	1.15	0.59	1.28	0.76
Ole.Mr.Bison.	S26	Prospect	1.13	0.6	1.07	0.90
mushxie	S25	Amateur	1.34	0.45	1.14	1.07
Grim	S24	Rival	1.22	0.59	1.34	1.08
DrizzyJ	S25	Challenger	1.15	0.46	1.37	1.17
nizz	S24	Veteran	1.0	0.55	0.96	1.17
Riddle	S14	Rival	1.33	0.5	1.08	1.18
lostperson	S23	Prospect	0.98	0.54	1.25	1.18
bestpickle	S26	Contender	1.04	0.58	0.92	1.24
Urgirlismysideho	S17	Amateur	1.12	0.66	1.21	1.25

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.