OhMyClaw — CS2 Stats

76561198253859969[U:1:293594241]

3,061Tracked matches47%Win rate2020Tracked since
CSDB Rating5.9 SolidHybrid Rifler
FaceitLevel 10 · 2,147 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGOhMyClawFACEITLevel 10 · 2,147 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning46
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY46477Last 10046%Win rateLLWLLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.5
Aggression5.5
Utility4.3
Positioning4.6
Opening Duels2.4
Clutch3.8

Sharp aimerStrong CT-side openerLimited 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

NiKo

Plays most like NiKo 90% 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 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.

T-side openings. Opening success drops from 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim8.5
Positioning4.6
Utility4.3
Mechanics8.0
Opening Duels2.4
Win Impact3.9

Composite 5.9/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time583ms−10ms
first ⅓ avg 593ms → last ⅓ avg 583ms
Headshot accuracy21.0%−0.6%
first ⅓ avg 21.6% → last ⅓ avg 21.0%

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

0.11Best rating — inferno 9–6
131Biggest win — dust2
7Longest win streak
L2Current streak
116In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 73% over 11trainWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A1610663%0.01
infernoB157847%0.01
nukeS118373%0.02
anubisC104640%-0.00
vertigoC104640%0.02
trainD82625%0.02
ancientC83538%-0.03
cacheC73443%0.01
officeC52340%0.00
overpass4040%-0.01
mirage43175%-0.02
poseidon2020%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

2,768Matches
51%Win rate
1.09Avg K/D
82.9ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno29958%1.1317.1
Dust229544%1.0215.7
Anubis28551%1.1217.4
Ancient14242%0.9515.6
Nuke14153%1.0917.1
Mirage7040%0.9415.7
Vertigo5951%1.1119.1
Overpass5450%1.0716.4

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.

19.8%Headshot accuracy
39.4%Accuracy (enemy spotted)
43.7%Spray accuracy
85.9%Counter-strafing
9.9°Preaim
581msReaction time
31.1%T opening success
48.3%CT opening success
0.65Enemies flashed / flash
12.0%Flash assists
7.89HE damage / grenade
2.81Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8055 — below the 4 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 31.1018% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0023%28 Aug
train3–130.0020%17 Aug
anubis13–7-0.0222%11 Aug
inferno7–130.0416%10 Aug
anubis8–110.0122%7 Aug
cache13–40.0524%30 Jul
vertigo13–100.0817%29 Jul
vertigo8–13-0.0633%29 Jul
anubis8–13-0.0121%24 Jul
cache13–50.0315%18 Jul
cache8–13-0.0417%1 Jul
cache9–130.0417%1 Jul
cache8–13-0.0315%1 Jul
nuke4–13-0.0222%29 Jun
dust213–10-0.0115%27 Jun
dust27–13-0.0618%27 Jun
vertigo8–80.0133%27 Jun
anubis13–80.0421%23 Jun
poseidon4–9-0.0020%18 Jun
train8–10.1113%17 Jun
train5–13-0.0124%17 Jun
nuke13–60.0722%15 Jun
dust213–40.0527%11 Jun
nuke13–8-0.0431%7 Jun
dust213–1-0.0121%6 Jun
vertigo8–130.0429%3 Jun
anubis13–70.019%29 May
ancient9–13-0.0813%28 May
dust213–30.0717%24 May
ancient16–14-0.0314%23 May
inferno11–130.0022%15 May
office3–13-0.0117%14 May
cache13–90.0945%6 May
inferno8–13-0.0516%3 May
ancient9–13-0.0014%2 May
cache3–13-0.0733%2 May
dust213–10-0.0220%27 Apr
dust213–50.0521%26 Apr
train13–30.0021%23 Apr
inferno13–30.0421%22 Apr
train10–130.0235%22 Apr
anubis13–9-0.0236%19 Apr
dust210–130.0122%17 Apr
inferno5–13-0.0123%14 Apr
vertigo11–130.0428%11 Apr
vertigo10–13-0.069%10 Apr
dust213–11-0.0021%10 Apr
inferno15–150.0317%8 Apr
nuke10–130.0032%6 Apr
dust216–140.0716%5 Apr
dust213–100.0822%3 Apr
anubis6–13-0.0117%2 Apr
overpass8–13-0.0112%30 Mar
ancient11–130.0018%30 Mar
mirage13–9-0.0232%27 Mar
nuke9–50.1112%25 Mar
nuke9–7-0.0416%25 Mar
inferno9–60.1139%25 Mar
nuke16–130.0424%23 Mar
inferno13–70.0842%21 Mar
office13–60.0739%19 Mar
office7–13-0.0326%19 Mar
inferno3–13-0.0419%15 Mar
anubis11–13-0.009%15 Mar
overpass12–12-0.0227%12 Mar
nuke15–190.0419%11 Mar
ancient13–11-0.0416%9 Mar
dust29–13-0.0120%8 Mar
inferno3–9-0.1313%7 Mar
inferno13–60.0019%4 Mar
nuke16–140.0123%4 Mar
dust24–13-0.0034%4 Mar
anubis11–130.0127%1 Mar
train12–12-0.0120%28 Feb
train5–130.0124%28 Feb
inferno19–170.0522%16 Feb
ancient13–8-0.0017%14 Feb
vertigo7–130.1040%13 Feb
vertigo13–11-0.0230%11 Feb
inferno19–15-0.0218%9 Feb
anubis12–12-0.0516%7 Feb
mirage13–11-0.039%31 Jan
dust27–13-0.0719%31 Jan
poseidon8–80.0332%25 Jan
mirage13–6-0.0519%23 Jan
office13–11-0.0227%22 Jan
office7–130.0018%22 Jan
overpass7–13-0.0317%19 Jan
overpass7–90.0331%16 Jan
nuke16–120.0118%12 Jan
inferno9–50.0320%11 Jan
ancient6–13-0.0421%6 Jan
dust216–14-0.0120%6 Jan
ancient9–13-0.0220%5 Jan
inferno6–13-0.0218%4 Jan
train12–120.0329%2 Jan
mirage10–130.0211%28 Dec
vertigo13–90.0224%21 Dec
vertigo13–30.0722%21 Dec
nuke13–9-0.0115%20 Dec

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →