KoWwa

KoWwa — CS2 Stats

CZ76561199818115775[U:1:1857850047]Steam profile ↗✓ No bans

1,657Tracked matches53%Win rate2025Tracked since
1,332Hours in CS
CSDB Rating6.4 SolidPositional Player
FaceitLevel 10 · 2,789 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (58 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,789 → 2,789
+119Tracked matches · now 1,657
+10.0ppWin rate · 43.3% → 53.3%

Rating over time

2,789Highest Faceit ELO seen on CSDB
78Days played since 2025-09-10

Faceit ELO

  • At peak — 2,789
  • Next: 3,000 ELO at 3,000 — 211 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-02
  • Level 10 first seen 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate42.4%50.9%
Shot accuracy0.0%13.7%
Kill/death ratio1.151.09
Match win rate49.7%48.4%

Share this profile

CSDB.GGKoWwaFACEITLevel 10 · 2,789 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,789csdb.gg/stats

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Performance scores

Aim86
Positioning62
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateWWLWWLLWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −1.4pp headshot accuracy · −68ms reaction

Win rate −10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 453ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 467ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 501ms

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 (+1.6 against its own average).

Aim8.6
Utility3.5
Positioning6.2
Opening Duels5.8
Clutch3.0

Sharp aimerLimited 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.

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

donk

Plays most like donk 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 60% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning6.2
Utility3.5
Mechanics5.0
Opening Duels5.6
Win Impact6.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time514ms−14ms
first ⅓ avg 529ms → last ⅓ avg 514ms
Headshot accuracy22.3%−1.8%
first ⅓ avg 24.1% → last ⅓ avg 22.3%

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 · 13–8 · dust2, 21 Sept →
56%Best headshot accuracy · 13–11 · inferno, 10 Mar →
375msFastest reaction time · 13–11 · dust2, 19 Oct →
13–1Biggest win · nuke, 5 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
11–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 67% over 6anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%-0.01
dust2C219–1243%0.01
ancientB189–950%0.00
infernoB147–750%-0.00
anubisC83–538%-0.01
nukeA74–357%0.00
overpassS64–267%0.02
train—21–150%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,025Lifetime kills
1.15K/D · Top 50% of Level 10 players
1,673Matches
49.7%Match win rate · Top 50% of Level 10 players
42.4%Headshot %
0.0%Shot accuracy
5,424MVPs
1,332Hours (in match)
1,094Bombs planted
803Bombs defused

Most-used weapons

AWP14,193
AK-479,189
SSG 081,397
Knife1,128
MP9961

Lifetime map wins

4,781dust2
2,560inferno
1,390nuke
709train
56vertigo

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

Faceit stats

Combat

2,004Matches
51%Win rate
1.12Avg K/D
86.0ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage55550%1.1317.1
Dust248355%1.1817.8
Ancient33056%1.1417.8
Inferno20450%1.0917.1
Anubis15646%1.0816.7
Nuke14646%1.0716.6
Overpass5740%0.9816.3
Train5044%1.1115.7

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.

22.8%Headshot accuracy
39.0%Accuracy (enemy spotted)
40.3%Spray accuracy
72.7%Counter-strafing
8.0°Preaim
518msReaction time
44.8%T opening success
60.3%CT opening success
0.35Enemies flashed / flash
4.6%Flash assists
9.17HE damage / grenade
3.38Flashes / 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 0.3482 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–110.0013%19 Oct →
anubis13–110.0023%16 Oct →
anubis8–130.0222%13 Oct →
dust216–140.0530%2 Oct →
anubis13–40.0022%17 Sept →
dust25–13-0.0117%17 Sept →
ancient7–130.0323%7 Sept →
mirage13–40.0112%18 Aug →
inferno3–13-0.0229%12 Aug →
anubis6–13-0.0214%11 Aug →
mirage13–11-0.0614%5 Aug →
mirage13–80.0030%5 Aug →
mirage2–13-0.140%4 Aug →
mirage8–13-0.0427%3 Aug →
nuke13–11-0.0227%21 Jul →
ancient13–100.0326%12 Jul →
dust216–120.0621%12 Jul →
mirage13–30.0427%10 Jul →
ancient11–13-0.0320%5 Jul →
overpass6–130.0525%28 Jun →
anubis17–190.0118%28 Jun →
nuke16–19-0.0342%18 Jun →
mirage13–80.0217%17 Jun →
inferno13–80.0423%16 Jun →
dust210–13-0.0733%14 Jun →
ancient11–130.0117%14 Jun →
ancient13–80.0024%10 Jun →
dust210–13-0.0210%5 Jun →
anubis13–40.0147%5 Jun →
dust213–40.0816%31 May →
inferno11–130.0527%27 May →
mirage9–130.0018%26 May →
inferno4–13-0.1121%23 May →
anubis5–13-0.0613%20 May →
inferno1–13-0.0950%17 May →
inferno2–13-0.0522%17 May →
inferno13–50.0135%17 May →
dust211–13-0.0322%14 May →
nuke17–190.0541%14 May →
mirage10–130.0112%11 May →
inferno13–50.0221%10 May →
nuke13–10.0420%5 May →
overpass13–50.0610%5 May →
ancient13–110.0219%28 Apr →
mirage13–70.0023%26 Apr →
ancient8–130.0015%17 Apr →
ancient13–160.0226%17 Apr →
overpass13–11-0.0332%17 Apr →
dust210–13-0.0138%7 Apr →
mirage9–13-0.0311%2 Apr →
dust29–130.0040%26 Mar →
dust23–13-0.097%24 Mar →
dust213–80.0119%24 Mar →
ancient5–13-0.0328%16 Mar →
dust211–130.036%14 Mar →
inferno13–110.0256%10 Mar →
dust216–140.0116%6 Mar →
anubis3–13-0.0520%5 Mar →
mirage12–16-0.0413%26 Feb →
ancient7–13-0.0515%25 Feb →
mirage4–130.0125%18 Feb →
inferno6–13-0.0027%16 Feb →
ancient11–13-0.029%11 Feb →
ancient13–70.0214%6 Feb →
nuke9–13-0.0219%13 Jan →
dust211–130.0318%6 Jan →
mirage6–13-0.0350%3 Jan →
mirage10–130.0313%2 Jan →
ancient13–30.0217%30 Dec →
train7–13-0.0335%29 Dec →
mirage13–80.0218%11 Dec →
dust28–13-0.017%10 Dec →
ancient13–4-0.017%10 Dec →
overpass11–13-0.0322%26 Nov →
ancient14–16-0.0122%26 Nov →
mirage11–13-0.0035%25 Nov →
mirage11–130.0025%24 Nov →
dust213–40.0438%5 Nov →
train13–9-0.0232%1 Nov →
mirage13–30.0032%29 Oct →
nuke13–8-0.0215%29 Oct →
inferno13–60.0236%12 Oct →
dust213–40.0137%12 Oct →
mirage9–13-0.0533%9 Oct →
ancient13–80.0423%8 Oct →
mirage8–13-0.0118%7 Oct →
inferno13–90.0429%7 Oct →
mirage16–140.0233%4 Oct →
overpass13–110.0230%3 Oct →
mirage9–130.0228%3 Oct →
inferno4–130.0319%3 Oct →
dust28–13-0.0330%27 Sept →
mirage13–9-0.0120%25 Sept →
nuke13–80.0118%25 Sept →
ancient19–160.0422%24 Sept →
inferno13–9-0.0018%23 Sept →
ancient16–130.0118%21 Sept →
dust213–80.0928%21 Sept →
dust210–13-0.0022%12 Sept →
overpass13–40.0617%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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