OJMoody, Yorkshire Pudding — CS2 Stats

76561198114071100[U:1:153805372]

747Tracked matches43%Win rate2020Tracked since
CSDB Rating5.0 DevelopingAggressive Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGOJMoody, Yorkshire PuddingFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning37
Utility39

0–100 skill scores via Leetify.

Recent form

COLD54433Last 10054%Win rateLWWLLLLLLW

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression6.8
Utility3.9
Positioning3.7
Opening Duels1.3
Clutch6.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.5
Positioning3.7
Utility3.9
Mechanics6.7
Opening Duels1.3
Win Impact2.8

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.05
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time639ms+0ms
first ⅓ avg 638ms → last ⅓ avg 639ms
Headshot accuracy22.0%+3.3%
first ⅓ avg 18.6% → last ⅓ avg 22.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.34Best rating — inferno 9–1
132Biggest win — inferno
9Longest win streak
410In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 80% over 5trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A23131057%-0.01
cacheB157847%-0.01
mirageC104640%-0.03
infernoS107370%0.03
nukeA95456%0.01
vertigoA95456%0.01
overpassS75271%0.04
ancientS54180%-0.01
trainD51420%-0.00
anubisA53260%-0.00
warden1010%0.07
office1010%-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

59Matches
59%Win rate
1.05Avg K/D
57.9ADR
36%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2100%0.6612.5
Vertigo10%1.5021.0
Nuke10%0.7613.0
Dust21100%1.4423.0
Train10%0.5614.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.9%Headshot accuracy
32.2%Accuracy (enemy spotted)
37.8%Spray accuracy
80.3%Counter-strafing
7.2°Preaim
637msReaction time
39.4%T opening success
31.3%CT opening success
0.47Enemies flashed / flash
5.2%Flash assists
7.70HE damage / grenade
3.10Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4733 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 39.3991% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache4–13-0.0417%26 Aug
dust213–3-0.0041%24 Aug
dust213–10-0.0325%23 Aug
dust25–13-0.0517%23 Aug
mirage8–13-0.0811%23 Aug
cache2–13-0.0656%23 Aug
dust23–13-0.0813%22 Aug
dust22–130.0226%21 Aug
mirage10–13-0.0520%20 Aug
ancient9–4-0.0612%20 Aug
nuke10–13-0.0414%16 Aug
cache9–13-0.0622%16 Aug
cache13–9-0.0436%6 Aug
dust216–12-0.0618%6 Aug
dust24–13-0.0328%4 Aug
dust213–80.0724%22 Jul
nuke13–60.0326%22 Jul
cache13–70.0731%22 Jul
cache13–90.0329%18 Jul
dust211–13-0.0311%18 Jul
train13–100.0618%18 Jul
anubis0–13-0.0130%18 Jul
mirage2–13-0.0433%18 Jul
dust24–13-0.0421%13 Jul
inferno13–8-0.0516%12 Jul
mirage9–2-0.050%12 Jul
inferno6–13-0.0319%10 Jul
ancient13–50.0514%3 Jul
train9–130.0016%2 Jul
cache10–13-0.0020%2 Jul
nuke13–70.0320%1 Jul
cache13–11-0.0122%30 Jun
mirage13–9-0.0220%29 Jun
cache2–11-0.0131%27 Jun
anubis13–90.039%27 Jun
dust213–60.0523%27 Jun
train8–13-0.0619%19 Jun
cache13–4-0.0050%19 Jun
mirage9–13-0.0124%19 Jun
nuke10–13-0.089%19 Jun
cache13–50.1531%7 Jun
cache11–13-0.0124%7 Jun
dust213–40.0122%17 May
dust214–16-0.0617%17 May
cache10–13-0.0810%17 May
cache12–12-0.0328%15 May
cache13–8-0.0218%1 May
dust213–8-0.0317%12 Feb
warden6–130.0717%12 Feb
train4–13-0.0119%7 Feb
nuke11–13-0.028%7 Feb
anubis7–13-0.079%7 Feb
overpass9–5-0.0011%4 Feb
nuke11–130.0313%4 Feb
ancient11–70.0919%3 Feb
overpass13–10-0.0521%3 Feb
train8–13-0.006%3 Feb
vertigo13–11-0.0417%30 Jan
ancient13–9-0.088%30 Jan
nuke13–11-0.0211%29 Jan
mirage11–13-0.0313%29 Jan
inferno11–130.0116%29 Jan
dust213–90.0421%23 Jan
inferno13–10-0.0214%23 Jan
office11–13-0.0027%23 Jan
dust213–10-0.0316%7 Jan
ancient4–13-0.0615%7 Jan
vertigo13–8-0.0233%30 Dec
dust25–13-0.0135%30 Dec
vertigo11–130.008%22 Dec
inferno13–20.0216%22 Dec
vertigo11–13-0.0412%17 Dec
vertigo13–6-0.0022%17 Dec
mirage13–8-0.0825%11 Dec
nuke16–13-0.0212%11 Dec
inferno9–50.0341%7 Dec
vertigo13–7-0.0627%2 Dec
mirage13–8-0.0126%2 Dec
dust213–70.0423%30 Nov
inferno14–12-0.039%8 Nov
dust213–100.018%7 Nov
dust25–130.0116%26 Oct
vertigo13–60.0011%26 Oct
anubis13–30.0414%20 Oct
anubis13–70.0120%15 Oct
dust213–10-0.0021%13 Oct
inferno13–50.018%10 Oct
overpass4–13-0.059%10 Oct
nuke9–30.1812%6 Oct
mirage10–130.0128%6 Oct
inferno6–90.0620%1 Oct
overpass9–10.0120%1 Oct
dust27–130.0721%1 Oct
dust213–8-0.0220%29 Sept
overpass13–40.0417%24 Sept
overpass10–130.0114%24 Sept
inferno9–10.3423%23 Sept
overpass9–00.286%22 Sept
vertigo8–80.0620%21 Sept
vertigo8–80.2218%21 Sept

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →