dAhh

dAhh — CS2 Stats

76561199279177035[U:1:1318911307]Steam profile ↗✓ No bans

440Tracked matches39%Win rate2022Tracked since
322Hours in CS
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,509 +1,615 11 Apr – 27 Oct · 8 days played
7,96011,509peak 11,50911 Apr27 Oct
11,509Peak Premier in tracked matches
36Days played since 2025-04-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate42.9%41.8%42.7%meets
Shot accuracy5.2%12.2%11.2%6.0% short
Kill/death ratio0.950.980.990.04 short
Match win rate44.7%43.3%43.9%meets

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGdAhhFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning46
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY43–49–8Last 10043%Win rateLWLLWLWWLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −2.7pp headshot accuracy · +3ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 651ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 649ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim7.0
Utility4.5
Positioning4.6
Opening Duels1.9
Clutch0.0

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 97% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Reaction time. 635ms 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

Aim7.0
Positioning4.6
Utility4.5
Mechanics6.3
Opening Duels2.1
Win Impact1.4

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-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time647ms−81ms
first ⅓ avg 727ms → last ⅓ avg 647ms
Headshot accuracy18.5%−6.4%
first ⅓ avg 24.9% → last ⅓ avg 18.5%

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.

Personal bests

0.16Best match rating · 13–6 · train, 10 Apr →
53%Best headshot accuracy · 0–13 · mirage, 11 Apr →
430msFastest reaction time · 1–13 · mirage, 10 Oct →
13–2Biggest win · nuke, 23 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 86% over 7infernoWeakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%-0.03
infernoD173–1418%-0.03
nukeA138–562%-0.01
dust2D102–820%0.01
ancientC73–443%-0.04
trainA74–357%0.00
overpassS76–186%0.04
officeD62–433%-0.04
cacheB63–350%-0.00
anubisA53–260%0.01
vertigo—20–20%-0.03
poseidon—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,906Lifetime kills
0.95K/D
812Matches
44.7%Match win rate · Top 50% of Level 3 players
42.9%Headshot % · Top 50% of Level 3 players
5.2%Shot accuracy
1,786MVPs
322Hours (in match)
1,083Bombs planted
157Bombs defused

Most-used weapons

Lifetime map wins

1,390inferno
1,370nuke
553vertigo
397dust2
396office
205train
23cbble
9lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

14Matches
43%Win rate
1.00Avg K/D
88.1ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno475%1.1016.5
Mirage30%0.639.3
Nuke367%1.5418.3
Ancient20%0.608.0
Anubis250%0.9015.0

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.

17.5%Headshot accuracy
37.5%Accuracy (enemy spotted)
41.3%Spray accuracy
78.3%Counter-strafing
10.2°Preaim
635msReaction time
36.8%T opening success
40.4%CT opening success
0.58Enemies flashed / flash
3.5%Flash assists
6.58HE damage / grenade
7.86Flashes / 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. 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 36.7785% — below the 40% mark we flag

Spend your practice time on Inferno

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

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office7–13-0.0844%23 Oct →
cache13–9-0.0223%23 Oct →
cache7–130.0317%20 Oct →
inferno7–130.0010%11 Oct →
mirage13–10-0.0313%11 Oct →
inferno5–13-0.117%11 Oct →
nuke13–30.0124%11 Oct →
mirage13–5-0.118%10 Oct →
nuke5–9-0.067%10 Oct →
mirage1–130.009%10 Oct →
nuke7–13-0.0816%10 Oct →
inferno11–13-0.0412%10 Oct →
dust29–130.0619%10 Oct →
mirage1–13-0.068%8 Oct →
cache4–00.0033%8 Oct →
dust23–130.0033%8 Oct →
ancient13–70.0326%8 Oct →
inferno16–140.0110%8 Oct →
cache3–13-0.0121%8 Oct →
nuke16–130.0011%4 Oct →
nuke13–7-0.0114%4 Oct →
office13–9-0.0311%19 Jul →
office11–13-0.0325%19 Jul →
office12–120.0330%19 Jul →
ancient14–16-0.028%16 Jul →
ancient2–13-0.1717%16 Jul →
train13–10-0.0321%14 Jul →
inferno12–12-0.0416%14 Jul →
dust25–130.0141%14 Jul →
poseidon8–8-0.0317%13 Jul →
inferno8–13-0.026%13 Jul →
train8–13-0.1113%13 Jul →
cache4–3-0.0540%13 Jul →
mirage5–13-0.0147%13 Jul →
mirage4–13-0.0333%9 Jul →
anubis5–13-0.0610%7 Jul →
cache12–120.0121%6 Jul →
office13–11-0.089%6 Jul →
ancient10–3-0.0220%6 Jul →
mirage0–13-0.1022%6 Jul →
overpass13–6-0.0618%29 May →
anubis13–70.0918%29 May →
train10–13-0.076%31 Mar →
dust212–120.0124%31 Mar →
mirage13–9-0.0118%30 Mar →
train13–11-0.0419%30 Mar →
inferno6–13-0.0518%30 Mar →
nuke10–13-0.0418%30 Mar →
inferno8–13-0.0715%24 Mar →
dust212–12-0.0811%23 Mar →
mirage13–40.0119%23 Mar →
nuke13–20.0714%23 Mar →
nuke13–100.1211%19 Mar →
overpass13–11-0.0314%13 Mar →
nuke1–13-0.045%2 Mar →
dust210–13-0.0115%25 Feb →
mirage6–13-0.0421%25 Feb →
vertigo6–13-0.0640%16 Feb →
dust213–10-0.0119%16 Feb →
inferno13–9-0.0313%27 Oct →
overpass13–10-0.0314%27 Oct →
mirage10–13-0.0513%27 Oct →
nuke13–9-0.0426%27 Oct →
inferno14–16-0.0929%20 Aug →
mirage13–70.0215%20 Aug →
inferno7–13-0.0323%29 Jul →
train11–13-0.0111%29 Jul →
mirage13–6-0.0215%29 Jul →
nuke13–110.0220%27 Jul →
mirage13–10-0.0221%27 Jul →
inferno8–80.0026%27 Jul →
dust211–130.0120%27 Jul →
overpass13–30.039%27 Jul →
overpass13–60.0611%27 Jul →
ancient9–13-0.0811%27 Jul →
nuke13–16-0.0341%25 May →
ancient16–14-0.0414%6 May →
anubis13–100.0226%6 May →
inferno8–13-0.0325%20 Apr →
mirage13–7-0.0643%20 Apr →
inferno2–13-0.0133%15 Apr →
mirage3–130.0121%13 Apr →
ancient4–13-0.0119%12 Apr →
anubis9–13-0.0721%12 Apr →
inferno10–13-0.0238%12 Apr →
anubis13–70.0834%12 Apr →
inferno1–50.0150%12 Apr →
overpass11–130.1618%12 Apr →
train7–10.1021%12 Apr →
office5–13-0.0430%11 Apr →
mirage0–13-0.0853%11 Apr →
dust212–120.0324%11 Apr →
overpass13–40.1344%10 Apr →
nuke13–50.0120%10 Apr →
train13–60.1628%10 Apr →
mirage13–11-0.0417%10 Apr →
mirage7–13-0.0024%9 Apr →
inferno13–7-0.073%9 Apr →
vertigo10–130.0024%9 Apr →
dust213–90.0617%9 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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