Oghma

Premier - Lords - 18-10 (0.643)
👤 Career - also played as Ogh.
99 OVR
overall rating (0–100) · 28 games · how is this calculated?
Overall rating 99/100 Tier dominance: 78th (+0.6 SD) Projects as: Premier Role: Striker
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.

MVPs
4
14% of games
Shot %
27%

Per-game production (percentile within Premier)

StatPer gameTotalPercentile in tier
Points 358.29 10032
54th
Goals 0.79 22
62nd
Assists 0.64 18
62nd
Saves 1.36 38
42nd
Shots 2.93 82
65th
Demos 1.14 32
50th

League ranking (per game, among 1213 players)

StatPer gameOverall rankRank in Premier
Points358.29 #363 / 1213 #24 / 73
Goals0.79 #399 / 1213 #20 / 73
Assists0.64 #276 / 1213 #19 / 73
Saves1.36 #403 / 1213 #29 / 73
Demos1.14 #300 / 1213 #25 / 73

Season projection

High confidence

64% of the season is played (28 → ~44 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 (83 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 10032 15765 15781 15781 15664 – 15897
Goals 22 35 35 35 29 – 40
Assists 18 28 28 28 23 – 33
Saves 38 60 60 63 53 – 67
Shots 82 129 128 129 118 – 139
Demos 32 50 51 49 44 – 57
MVPs 4 6 6 6 4 – 9

Advanced stats (ballchasing)

Advanced OVR 80 /100

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 456.0
Avg boost 47.1
Boost stolen / game 758.3
% time at 0 boost 12.0%
Avg speed (uu/s) 1605.1
% supersonic 17.9%
% time high in air 3.7%
Avg distance to ball 2890.5
% time attacking third 24.2%
Demos / game 1.1
Demos taken / game 1.2
Shooting % 27.4%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Elite4 1.250.51.75 458
S24Premier43 0.910.671.95 440
S25Premier40 0.80.682.1 435
S26Premier28 0.790.641.36 456

Beyond RSC - lifetime & other play

External skill estimate: ~100 OVR Low confidence — inferred from 31 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 99.
SourceGames RecordWin % Score/g
Lifetime (all)19082-69 54% 440
Non-RSC ranked 3v33114-11 56% 432
Non-RSC other15968-58 54% 442

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

High confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.79 0.77 0.75 – 0.86
Assists/game0.64 0.65 0.57 – 0.75
Saves/game1.36 1.25 1.19 – 1.35
Shots/game2.93 2.73 2.61 – 2.88

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
EllectroZx S23Premier 0.750.561.38 0.65
duffy S22Elite 0.830.751.38 0.79
Taelo S24Premier 0.80.571.18 0.92
IncorrectTerror S25Rival 0.820.561.11 1.02
haz S24Elite 0.750.851.25 1.10
gumwee wigglebean S21Master 0.780.681.22 1.13
SyrupBloodz S23Veteran 0.860.81.4 1.16
wicked. S22Premier 0.770.651.35 1.16
LikeWisse S17Elite 0.70.81.6 1.19
AlteredSp4rky S25Challenger 0.950.531.17 1.22

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.