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 Veteran)

Stat	Per game	Total	Percentile in tier
Points	305.94	5201	11th
Goals	1.0	17	79th
Assists	0.35	6	10th
Saves	0.82	14	5th
Shots	2.53	43	43rd
Demos	0.76	13	29th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Veteran
Points	305.94	#724 / 1215	#121 / 170
Goals	1.0	#132 / 1215	#21 / 170
Assists	0.35	#799 / 1215	#123 / 170
Saves	0.82	#865 / 1215	#129 / 170
Demos	0.76	#625 / 1215	#96 / 170

56% of the season is played (17 → ~30 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 (48 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	5201	9178	9378	9378	9276 – 9480
Goals	17	30	29	30	24 – 35
Assists	6	11	12	11	8 – 15
Saves	14	25	27	24	21 – 33
Shots	43	76	76	80	67 – 85
Demos	13	23	24	23	19 – 30
MVPs	0	0	1	1	0 – 2

From 16 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	393.1
Avg boost	44.5
Boost stolen / game	497.4
% time at 0 boost	15.1%
Avg speed (uu/s)	1482.1
% supersonic	10.3%
% time high in air	3.8%
Avg distance to ball	2724.2
% time attacking third	19.3%
Demos / game	0.8
Demos taken / game	1.2
Shooting %	39.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	48	1.08	0.35	0.73	395
S26	Veteran	16	0.88	0.31	0.81	393

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	0.88	0.82	0.77 – 0.87
Assists/game	0.31	0.38	0.33 – 0.43
Saves/game	0.81	0.93	0.83 – 1.04
Shots/game	2.44	2.41	2.25 – 2.54

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
Detroeux	S25	Prospect	0.8	0.41	0.69	0.95
AKU Lmlt	S14	Challenger	0.83	0.25	0.83	1.04
pacman	S23	Prospect	0.87	0.43	1.04	1.09
Cujo_SZN	S18	Challenger	0.83	0.42	0.67	1.11
Dirt D Dan	S23	Veteran	0.64	0.39	0.9	1.13
B0A._.	S23	Prospect	0.74	0.37	0.96	1.16
Tuxedo Marx	S22	Rival	1.0	0.42	0.83	1.17
Cr1m5on_RL	S23	Challenger	0.83	0.34	1.0	1.17
Itchyramrod420TV	S23	Amateur	0.81	0.41	1.09	1.18
SHHHM3LLIT	S20	Contender	0.82	0.24	0.88	1.21

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.