peta pawkah

peta pawkah — CS2 Stats

76561198975030858[U:1:1014765130]Steam profile ↗✓ No bans

1,564Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingClutch Specialist
Premier CS Rating20,000Top 50% of 205,416 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#81029 of 252622 tracked
FaceitLevel 5 · 1,043 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,000 +1 22 Mar – 12 Oct · 23 days played
17,73421,371peak 21,37122 Mar12 Oct
21,492Peak Premier in tracked matches
1,043Highest Faceit ELO seen on CSDB
42Days played since 2026-03-14

Faceit ELO

  • At peak — 1,043
  • Next: Level 5 at 1,051 — 8 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,371 below peak (21,371)
  • +563 over 30 days · improving
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGpeta pawkahFACEITLevel 5 · 1,043 ELOSTANDINGTop 67.6% of rankedPREMIER20,000 · Pink bandPEAK ELO1,043csdb.gg/stats

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Performance scores

Aim82
Positioning33
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLLLWLTWWLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −3.9pp headshot accuracy · +29ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 553ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 531ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 516ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1 against its own average).

Aim8.2
Utility3.4
Positioning3.3
Opening Duels0.0
Clutch3.6

Strong T-side opener

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 49 points — deaths here waste a strong aim profile.

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

CT openings. Opening success drops from 44% on T to 18% on CT — first contacts on the defending side are being lost.

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

Aim8.2
Positioning3.3
Utility3.4
Mechanics6.3
Opening Duels1.7
Win Impact5.0

Composite 5.3/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time527ms−98ms
first ⅓ avg 625ms → last ⅓ avg 527ms
Headshot accuracy11.8%−1.1%
first ⅓ avg 13.0% → last ⅓ avg 11.8%

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

0.12Best match rating · 13–8 · inferno, 4 Oct →
29%Best headshot accuracy · 7–0 · inferno, 16 Aug →
398msFastest reaction time · 9–13 · inferno, 4 Oct →
13–1Biggest win · cache, 21 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
8–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 70% over 10dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC2812–1643%-0.01
anubisB179–853%-0.02
ancientB126–650%-0.03
cacheC125–742%-0.01
nukeS107–370%-0.02
mirageS107–370%-0.01
dust2D71–614%-0.02
overpass—41–325%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

324Matches
50%Win rate
0.79Avg K/D
68.0ADR
30%Headshot %

Clutches & streaks

38%1v1 clutch win
10%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4569%0.9713.5
Anubis2752%0.7613.5
Nuke1958%0.8013.1
Dust21631%0.7612.9
Mirage1560%0.8812.7
Vertigo1354%0.9312.5
Overpass1145%0.9115.4
Ancient1030%0.7914.7

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.

12.1%Headshot accuracy
41.5%Accuracy (enemy spotted)
48.5%Spray accuracy
78.4%Counter-strafing
10.1°Preaim
524msReaction time
44.0%T opening success
18.4%CT opening success
0.29Enemies flashed / flash
4.4%Flash assists
7.53HE damage / grenade
6.62Flashes / 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 12.0503% — 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 0.2874 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 18.4111% — 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.

14% win rate across 7 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
dust29–13-0.0610%12 Oct →
anubis4–13-0.0111%11 Oct →
dust27–130.0413%11 Oct →
nuke13–60.039%11 Oct →
inferno3–13-0.066%10 Oct →
ancient12–12-0.0010%10 Oct →
inferno13–80.0213%6 Oct →
ancient13–110.007%6 Oct →
mirage3–13-0.0813%6 Oct →
mirage13–60.0118%6 Oct →
cache4–13-0.0518%6 Oct →
inferno13–80.1227%4 Oct →
anubis13–80.0314%4 Oct →
mirage13–100.0418%4 Oct →
inferno9–130.0419%4 Oct →
inferno8–13-0.063%3 Oct →
dust28–130.0717%2 Oct →
inferno13–80.068%2 Oct →
inferno6–13-0.0113%30 Sept →
nuke13–10-0.0612%28 Sept →
anubis8–13-0.038%28 Sept →
inferno5–13-0.076%27 Sept →
anubis13–8-0.018%21 Sept →
cache13–11-0.0810%19 Sept →
inferno13–60.019%19 Sept →
inferno13–10-0.0010%12 Sept →
anubis7–13-0.0610%11 Sept →
inferno15–150.0513%8 Sept →
nuke5–13-0.0519%7 Sept →
anubis13–7-0.0510%7 Sept →
anubis10–13-0.065%7 Sept →
dust24–13-0.1113%7 Sept →
inferno13–80.0610%6 Sept →
cache13–10-0.0518%6 Sept →
nuke13–11-0.0012%6 Sept →
inferno4–13-0.0212%4 Sept →
inferno13–16-0.0212%4 Sept →
inferno10–13-0.0213%3 Sept →
nuke13–60.0120%2 Sept →
mirage13–11-0.0517%2 Sept →
anubis13–11-0.0412%2 Sept →
inferno13–6-0.0313%2 Sept →
ancient10–13-0.0611%2 Sept →
cache11–13-0.0311%1 Sept →
inferno8–13-0.1113%1 Sept →
ancient13–80.0513%31 Aug →
inferno3–13-0.0523%31 Aug →
mirage8–13-0.0417%31 Aug →
ancient11–13-0.0811%30 Aug →
cache9–130.0115%30 Aug →
inferno11–13-0.0811%29 Aug →
nuke13–10-0.0610%29 Aug →
ancient13–70.0013%29 Aug →
mirage13–6-0.029%29 Aug →
cache15–150.0710%29 Aug →
anubis13–60.0017%29 Aug →
nuke9–10.060%29 Aug →
inferno7–9-0.0523%29 Aug →
cache8–13-0.0312%28 Aug →
anubis13–40.029%28 Aug →
cache13–6-0.0915%23 Aug →
ancient11–13-0.008%23 Aug →
anubis13–100.0212%23 Aug →
cache13–10.0813%21 Aug →
ancient13–9-0.0314%21 Aug →
cache4–13-0.0413%20 Aug →
nuke13–7-0.0219%20 Aug →
anubis9–130.0218%19 Aug →
dust23–13-0.0710%19 Aug →
cache9–130.016%19 Aug →
cache13–70.0422%16 Aug →
anubis13–3-0.065%16 Aug →
ancient5–13-0.0816%16 Aug →
inferno7–00.0229%16 Aug →
ancient13–11-0.063%15 Aug →
dust213–30.028%15 Aug →
mirage13–100.0611%15 Aug →
dust217–19-0.0111%15 Aug →
inferno10–13-0.037%14 Aug →
mirage13–80.046%14 Aug →
inferno10–130.017%14 Aug →
nuke4–13-0.0523%13 Aug →
mirage4–13-0.055%12 Aug →
inferno6–13-0.067%12 Aug →
overpass11–13-0.067%10 Aug →
anubis9–130.0213%27 Jun →
ancient15–15-0.0510%23 Jun →
overpass7–13-0.0320%2 Apr →
anubis14–16-0.078%2 Apr →
anubis8–00.0125%2 Apr →
nuke8–13-0.0015%29 Mar →
inferno13–40.049%28 Mar →
ancient13–70.0120%28 Mar →
mirage13–9-0.0420%28 Mar →
inferno13–11-0.0512%22 Mar →
overpass13–4-0.0016%22 Mar →
anubis7–13-0.0421%22 Mar →
overpass10–13-0.0317%22 Mar →
inferno13–80.0115%14 Mar →
inferno9–7-0.027%14 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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