bOWL CUT

bOWL CUT — CS2 Stats

76561198261161127[U:1:300895399]Steam profile ↗✓ No bans

1,719Tracked matches36%Win rate2020Tracked since
CSDB Rating3.7 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGbOWL CUTFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning42
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateTLLWLWWWTL

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

Player DNA

Aim5.6
Aggression3.8
Utility2.1
Positioning4.2
Opening Duels0.4
Clutch3.6

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 72% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim 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

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

Reaction time. 568ms 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

Aim5.6
Positioning4.2
Utility2.1
Mechanics5.2
Opening Duels0.4
Win Impact0.2

Composite 3.7/10 (Learning), 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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time575ms−50ms
first ⅓ avg 624ms → last ⅓ avg 575ms
Headshot accuracy15.1%−0.1%
first ⅓ avg 15.2% → last ⅓ avg 15.1%

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 — anubis 13–6
132Biggest win — dust2
5Longest win streak
128In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 56% over 16ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB34171750%-0.00
dust2B21101148%-0.03
infernoA169756%-0.01
nukeB126650%-0.02
ancientD92722%-0.04
overpass42250%0.04
anubis32167%0.03
train110100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

276Matches
49%Win rate
0.91Avg K/D
80.6ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2832%0.8113.5
Inferno1638%0.8213.8
Nuke1443%1.1417.1
Anubis1436%0.9317.4
Dust21457%0.9916.4
Vertigo757%0.8116.3
Ancient757%1.2018.4

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.

14.0%Headshot accuracy
33.9%Accuracy (enemy spotted)
37.3%Spray accuracy
73.2%Counter-strafing
11.1°Preaim
568msReaction time
30.5%T opening success
32.8%CT opening success
0.41Enemies flashed / flash
0.0%Flash assists
9.24HE damage / grenade
1.21Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.017% — below the 15% mark we flag

    Aim Training
  2. 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 0.413 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 30.5218% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient15–150.0113%29 Aug
mirage13–16-0.0715%26 Aug
mirage2–7-0.0713%26 Aug
nuke13–7-0.0124%25 Aug
inferno5–13-0.0417%25 Aug
mirage13–8-0.0019%24 Aug
mirage13–40.0310%24 Aug
dust213–100.0219%23 Aug
mirage15–150.0216%23 Aug
dust23–8-0.010%26 May
mirage9–130.0610%25 May
dust20–7-0.090%21 May
dust210–10.0133%21 May
inferno10–13-0.0213%20 May
ancient4–13-0.0814%20 May
inferno13–10-0.0115%20 May
mirage8–13-0.0212%20 May
nuke13–3-0.048%20 May
mirage7–130.0533%19 May
mirage9–13-0.0712%19 May
mirage13–80.0412%19 May
ancient11–13-0.040%19 May
nuke13–11-0.029%18 May
ancient1–7-0.1020%17 May
ancient3–13-0.0624%17 May
inferno11–130.0016%17 May
dust213–5-0.0614%17 May
mirage9–13-0.056%16 May
dust211–13-0.086%16 May
dust27–13-0.0521%16 May
nuke3–13-0.0222%14 May
mirage13–11-0.0342%14 May
mirage10–130.0114%14 May
dust28–13-0.0320%14 May
dust27–13-0.0320%13 May
mirage13–7-0.0323%13 May
ancient13–7-0.013%11 May
mirage10–130.0316%11 May
nuke13–11-0.030%10 May
anubis13–60.1114%10 May
dust213–110.0011%10 May
overpass7–130.1021%10 May
dust213–2-0.0214%21 Mar
anubis13–30.0220%21 Mar
anubis11–13-0.028%21 Mar
inferno13–7-0.0016%20 Mar
dust213–6-0.0016%20 Mar
nuke5–13-0.0027%20 Mar
mirage10–13-0.0114%20 Mar
inferno16–13-0.074%20 Mar
inferno10–13-0.0310%19 Mar
dust213–8-0.0718%19 Mar
dust213–6-0.0315%18 Mar
mirage8–13-0.0410%18 Mar
inferno9–130.0312%18 Mar
inferno8–30.0118%17 Mar
mirage13–90.0511%17 Mar
inferno13–11-0.0314%17 Mar
dust210–13-0.057%16 Mar
nuke8–13-0.0217%15 Mar
mirage13–3-0.0129%15 Mar
nuke13–7-0.0114%15 Mar
inferno13–110.0014%14 Mar
mirage9–13-0.0512%18 Jan
inferno7–13-0.0611%4 Jan
ancient13–11-0.0421%4 Jan
nuke15–15-0.0418%2 Jan
overpass13–7-0.0224%29 Dec
ancient8–13-0.0616%25 Dec
mirage13–70.0018%22 Dec
dust213–60.0311%22 Dec
mirage13–8-0.0218%21 Dec
overpass13–80.0729%21 Dec
dust210–130.0427%18 Dec
mirage13–30.106%18 Dec
mirage6–13-0.078%17 Dec
mirage13–110.0422%16 Dec
train13–9-0.0111%15 Dec
mirage13–8-0.0010%13 Dec
inferno13–90.0416%13 Dec
mirage12–160.0312%12 Dec
dust210–13-0.087%10 Dec
dust211–13-0.058%7 Dec
mirage13–110.0013%6 Dec
mirage15–150.0015%5 Dec
overpass7–130.0116%2 Dec
inferno13–30.0518%1 Dec
mirage13–60.0314%30 Nov
dust213–6-0.0512%20 Nov
ancient9–13-0.0119%20 Nov
mirage13–100.0118%19 Nov
inferno13–110.018%19 Nov
mirage13–11-0.0316%19 Nov
mirage13–100.0314%19 Nov
nuke16–14-0.0511%19 Nov
nuke14–16-0.0421%18 Nov
dust29–130.0318%18 Nov
mirage7–13-0.0216%17 Nov
inferno14–160.0215%17 Nov
nuke14–16-0.0118%17 Nov

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →