kissa

kissa — CS2 Stats

PG76561199049431373[U:1:1089165645]Steam profile ↗✓ No bans

377Tracked matches23%Win rate2021Tracked since
CSDB Rating5.3 DevelopingSupport
CSDB Leaderboard#79566 of 261629 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 377
−16.7ppWin rate · 40.0% → 23.3%

Rating over time

Premier CS Rating: 20,362 +1,237 27 Mar – 23 Sept · 23 days played
18,61922,631peak 22,63127 Mar23 Sept
22,631Peak Premier in tracked matches
26Days played since 2026-03-27

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

Performance scores

Aim77
Positioning43
Utility55

0–100 skill scores via Leetify.

Recent form

COLD42–55–3Last 10042%Win rateLLLLLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −1.1pp headshot accuracy · −52ms reaction

Win rate down 30pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 570ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 545ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 571ms

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 (+1.1 against its own average).

Aim7.7
Utility5.5
Positioning4.3
Opening Duels3.3

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

ZywOo

Plays most like ZywOo 92% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 569ms 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

Aim7.7
Positioning4.3
Utility5.5
Mechanics6.8
Opening Duels3.3
Win Impact0.0

Composite 5.3/10 (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-0.02−0.05
first ⅓ avg 0.04 → last ⅓ avg -0.02
Reaction time564ms−55ms
first ⅓ avg 619ms → last ⅓ avg 564ms
Headshot accuracy15.3%−0.0%
first ⅓ avg 15.4% → last ⅓ avg 15.3%

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

0.17Best match rating · 13–2 · inferno, 2 Apr →
50%Best headshot accuracy · 2–13 · mirage, 19 Jul →
391msFastest reaction time · 2–13 · mirage, 19 Jul →
13–1Biggest win · nuke, 28 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L9Current streak
8–5In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 50% over 6dust2Weakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoC2710–1737%0.02
ancientB199–1047%0.01
nukeB199–1047%0.02
dust2D134–931%-0.01
anubisC114–736%0.01
mirageB63–350%-0.02
overpass—32–167%0.06
cache—21–150%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.4%Headshot accuracy
37.5%Accuracy (enemy spotted)
41.9%Spray accuracy
80.4%Counter-strafing
9.5°Preaim
569msReaction time
38.9%T opening success
47.2%CT opening success
0.63Enemies flashed / flash
8.5%Flash assists
9.33HE damage / grenade
7.22Flashes / 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 38.9155% — below the 40% mark we flag

Spend your practice time on Dust 2

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis2–130.0212%14 Nov →
inferno11–13-0.0318%6 Nov →
inferno7–130.0315%6 Nov →
dust29–13-0.0419%2 Oct →
ancient10–13-0.1012%2 Oct →
inferno6–13-0.0914%2 Oct →
nuke8–13-0.0415%2 Oct →
anubis10–13-0.0817%21 Aug →
dust210–130.0319%21 Aug →
ancient13–100.0314%21 Aug →
nuke7–130.0323%14 Aug →
dust23–13-0.0410%14 Aug →
anubis2–13-0.0014%14 Aug →
inferno13–160.0217%14 Aug →
cache4–13-0.0231%23 Jul →
dust26–130.0218%23 Jul →
inferno13–80.089%21 Jul →
inferno13–90.1316%21 Jul →
inferno13–10-0.0516%21 Jul →
inferno13–30.0214%21 Jul →
ancient7–13-0.0713%20 Jul →
anubis5–13-0.0511%20 Jul →
ancient9–130.006%19 Jul →
nuke13–16-0.0214%19 Jul →
mirage13–8-0.0420%19 Jul →
mirage2–13-0.0950%19 Jul →
ancient10–13-0.0713%19 Jul →
ancient0–5-0.007%19 Jul →
inferno0–3-0.010%19 Jul →
dust213–2-0.0724%19 Jul →
anubis13–8-0.006%19 Jul →
mirage5–80.0214%18 Jul →
mirage13–11-0.047%18 Jul →
dust213–50.0119%18 Jul →
nuke13–5-0.0116%18 Jul →
anubis13–70.0619%5 Jul →
inferno10–13-0.0217%5 Jul →
ancient8–130.0118%5 Jul →
inferno8–13-0.0122%5 Jul →
overpass9–130.089%5 Jul →
ancient13–60.0410%5 Jul →
nuke15–150.0211%5 Jul →
dust23–13-0.0219%5 Jul →
inferno4–13-0.059%5 Jul →
dust216–14-0.0116%3 Jul →
anubis8–13-0.0314%3 Jul →
ancient13–100.018%3 Jul →
anubis16–120.0719%3 Jul →
nuke13–60.1512%3 Jul →
anubis13–80.0723%3 Jul →
dust213–8-0.029%26 Jun →
anubis9–13-0.038%6 Jun →
nuke7–130.0211%6 Jun →
cache13–6-0.030%6 Jun →
dust24–13-0.0219%6 Jun →
nuke13–9-0.047%6 Jun →
mirage3–13-0.0126%24 May →
ancient16–130.0915%24 May →
nuke13–60.1515%24 May →
nuke13–160.0511%17 May →
inferno13–110.1012%17 May →
nuke8–13-0.0211%17 May →
nuke5–130.0219%17 May →
dust27–13-0.0315%17 May →
inferno7–13-0.0419%17 May →
inferno13–90.0714%16 May →
ancient13–110.0715%16 May →
nuke13–11-0.0312%16 May →
dust25–130.0816%15 May →
mirage13–110.0410%15 May →
inferno10–130.0420%15 May →
ancient7–130.0610%15 May →
inferno15–150.0117%14 May →
inferno9–130.018%14 May →
nuke13–16-0.0216%14 May →
ancient13–50.0211%14 May →
nuke15–150.0225%14 May →
ancient13–40.059%14 May →
inferno13–70.0617%13 May →
ancient13–160.0216%13 May →
nuke13–90.0517%13 May →
inferno11–130.0621%13 May →
inferno7–130.0413%12 May →
ancient11–130.0122%12 May →
overpass13–60.0821%28 Apr →
inferno13–60.0722%28 Apr →
nuke13–10.0426%28 Apr →
inferno5–13-0.027%11 Apr →
nuke16–140.049%11 Apr →
ancient13–110.0612%10 Apr →
inferno13–160.058%10 Apr →
dust214–160.0422%10 Apr →
anubis14–160.0520%10 Apr →
overpass16–120.0217%10 Apr →
inferno2–13-0.0312%2 Apr →
ancient3–13-0.029%2 Apr →
ancient13–100.0213%2 Apr →
inferno13–20.1724%2 Apr →
inferno13–70.0514%27 Mar →
nuke13–30.0312%27 Mar →

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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