Don Kauhala

Don Kauhala — CS2 Stats

76561198001838250[U:1:41572522]Steam profile ↗✓ No bans

2,141Tracked matches48%Win rate2020Tracked since
6,520Hours in CS4Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 2,141
−3.4ppWin rate · 51.7% → 48.3%

Rating over time

Premier CS Rating: 11,638 +396 7 Mar – 12 May · 18 days played
10,39712,146peak 12,1467 Mar12 May
Faceit ELO: 1,327 +0 14 Sept – 19 Sept · 3 observations
1,3271,327peak 1,32714 Sept19 Sept
12,146Peak Premier in tracked matches
1,327Highest Faceit ELO seen on CSDB
33Days played since 2026-03-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGDon KauhalaPEAK ELO1,327csdb.gg/stats

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Performance scores

Aim48
Positioning47
Utility51

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLWLLLLLWLW

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −1.9pp headshot accuracy · −26ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 547ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 544ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 557ms

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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim4.8
Utility5.1
Positioning4.7
Opening Duels3.2
Clutch3.2

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

m0NESY

Plays most like m0NESY 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning4.7
Utility5.1
Mechanics3.9
Opening Duels2.4
Win Impact4.4

Composite 4.4/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time583ms−57ms
first ⅓ avg 640ms → last ⅓ avg 583ms
Headshot accuracy18.3%+0.1%
first ⅓ avg 18.2% → last ⅓ avg 18.3%

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

0.09Best match rating · 9–5 · inferno, 30 Mar →
37%Best headshot accuracy · 13–4 · dust2, 28 Aug →
438msFastest reaction time · 10–13 · nuke, 23 Apr →
13–2Biggest win · nuke, 19 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 56% over 9cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB189–950%-0.02
dust2C167–944%-0.01
mirageB147–750%-0.03
ancientB136–746%-0.02
infernoB115–645%-0.00
anubisA95–456%-0.03
overpassB84–450%-0.02
cacheC73–443%-0.02
vertigo—21–150%-0.04
train—10–10%-0.03
poseidon—10–10%-0.18

Across the last 100 tracked matches.

Lifetime stats

109,857Lifetime kills
0.87K/D
6,360Matches
43.5%Match win rate
37.4%Headshot %
12.8%Shot accuracy · Top 50% of tracked players
13,988MVPs
2,805Hours (in match)
6,377Bombs planted
1,532Bombs defused

Most-used weapons

AWP38,203
AK-4719,903
Tec-91,848
MAC-101,750
FAMAS1,643

Lifetime map wins

10,193dust2
6,476inferno
5,465nuke
5,347train
1,508vertigo
577cbble
121office
88lake

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

Faceit stats

Combat

607Matches
49%Win rate
0.91Avg K/D
68.3ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9551%0.8613.5
Nuke8051%0.8013.3
Ancient7948%0.9114.5
Anubis7748%0.8913.6
Dust25645%0.8613.0
Train3453%1.0114.4
Overpass2650%0.9114.5
Inferno2040%0.8613.3

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.

17.6%Headshot accuracy
28.2%Accuracy (enemy spotted)
30.1%Spray accuracy
67.5%Counter-strafing
9.0°Preaim
579msReaction time
36.8%T opening success
42.7%CT opening success
0.59Enemies flashed / flash
4.6%Flash assists
9.62HE damage / grenade
7.52Flashes / 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 36.8346% — below the 40% mark we flag

Spend your practice time on Cache

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0421%2 Oct →
anubis13–11-0.0515%2 Oct →
dust214–16-0.0313%20 Sept →
ancient6–13-0.0217%20 Sept →
inferno5–13-0.0122%2 Sept →
ancient11–13-0.0219%2 Sept →
mirage10–13-0.0611%1 Sept →
mirage13–60.0113%1 Sept →
overpass6–13-0.0920%28 Aug →
cache13–80.0622%28 Aug →
dust213–4-0.0137%28 Aug →
inferno4–13-0.0625%28 Aug →
anubis13–11-0.029%28 Aug →
nuke13–7-0.0518%28 Aug →
ancient13–9-0.0314%25 Aug →
ancient13–8-0.0319%23 Aug →
anubis13–80.0713%23 Aug →
mirage13–70.0517%23 Aug →
anubis11–13-0.0918%11 Aug →
dust29–130.0223%12 May →
overpass13–9-0.0312%12 May →
cache7–13-0.0715%8 May →
cache12–12-0.0326%8 May →
anubis13–40.0522%7 May →
nuke10–130.0218%7 May →
ancient9–13-0.059%7 May →
overpass8–13-0.0315%2 May →
anubis14–16-0.0218%2 May →
overpass13–7-0.0430%1 May →
ancient16–13-0.0410%1 May →
cache11–13-0.0913%1 May →
cache6–130.0023%29 Apr →
cache13–80.0026%29 Apr →
cache13–6-0.0126%29 Apr →
nuke10–13-0.0127%23 Apr →
nuke11–130.0613%20 Apr →
mirage8–13-0.0315%20 Apr →
dust215–15-0.0116%20 Apr →
ancient13–7-0.0312%19 Apr →
nuke13–20.0031%19 Apr →
mirage13–7-0.0116%19 Apr →
inferno13–3-0.0129%19 Apr →
dust213–11-0.0525%19 Apr →
dust23–13-0.0514%15 Apr →
ancient9–13-0.0416%15 Apr →
mirage7–13-0.0626%15 Apr →
inferno7–13-0.0119%11 Apr →
dust25–13-0.0714%11 Apr →
train8–13-0.0327%11 Apr →
vertigo9–6-0.0618%10 Apr →
poseidon4–9-0.1813%10 Apr →
inferno9–50.0416%10 Apr →
vertigo7–9-0.0228%10 Apr →
inferno9–13-0.0626%6 Apr →
overpass8–130.019%2 Apr →
inferno13–9-0.0226%2 Apr →
inferno9–50.0927%30 Mar →
dust213–20.0419%29 Mar →
nuke16–12-0.0610%29 Mar →
ancient13–100.0222%29 Mar →
dust213–2-0.0823%27 Mar →
mirage5–13-0.0924%27 Mar →
dust211–130.0316%27 Mar →
anubis13–80.0017%23 Mar →
nuke8–13-0.0517%23 Mar →
inferno13–30.0423%20 Mar →
mirage8–13-0.0622%20 Mar →
nuke1–9-0.0911%20 Mar →
nuke13–90.0616%20 Mar →
overpass11–13-0.0028%19 Mar →
mirage13–3-0.0224%19 Mar →
dust211–130.0424%19 Mar →
nuke12–16-0.0315%19 Mar →
nuke11–130.0119%18 Mar →
mirage13–60.0821%18 Mar →
dust213–30.0526%18 Mar →
dust213–8-0.0522%18 Mar →
nuke9–130.0319%18 Mar →
anubis5–13-0.119%18 Mar →
dust26–13-0.0732%17 Mar →
nuke13–7-0.0628%17 Mar →
ancient7–130.0023%17 Mar →
nuke13–8-0.0917%17 Mar →
nuke13–11-0.0819%17 Mar →
ancient13–110.0018%17 Mar →
nuke10–13-0.0216%17 Mar →
overpass13–70.0712%17 Mar →
nuke16–14-0.0211%17 Mar →
mirage7–13-0.0327%17 Mar →
ancient14–160.0223%9 Mar →
overpass13–9-0.0515%8 Mar →
dust213–40.0510%8 Mar →
inferno11–130.0111%8 Mar →
inferno5–13-0.064%8 Mar →
anubis6–13-0.0616%8 Mar →
mirage5–13-0.1012%8 Mar →
nuke13–10-0.019%8 Mar →
mirage16–12-0.0216%7 Mar →
dust210–130.0122%7 Mar →
mirage13–8-0.0327%7 Mar →

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 →

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