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.pnga — CS2 Stats

DJ76561198983384879[U:1:1023119151]Steam profile ↗✓ No bans

842Tracked matches43%Win rate2020Tracked since
1,113Hours in CS
CSDB Rating6.9 SolidSupport
Premier CS Rating18,546Purple band · top ~14.3% of ranked players (population est.)
FaceitLevel 3 · 819 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG.pngaFACEITLevel 3 · 819 ELOSTANDINGTop 90.6% of rankedPREMIER18,546 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning60
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWWLLLWWWTL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +7.6pp headshot accuracy · +69ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 588ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 569ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 534ms

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 (+1.4 against its own average).

Aim8.8
Utility6.3
Positioning6.0
Opening Duels3.2
Clutch4.0

Sharp aimerExcellent counter-strafing

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

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 40% 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

Aim8.8
Positioning6.0
Utility6.3
Mechanics8.5
Opening Duels5.3
Win Impact2.6

Composite 6.9/10 (Solid), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time522ms−52ms
first ⅓ avg 574ms → last ⅓ avg 522ms
Headshot accuracy17.9%+2.0%
first ⅓ avg 15.9% → last ⅓ avg 17.9%

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

0.23Best match rating · 13–1 · inferno, 20 Oct →
40%Best headshot accuracy · 11–13 · ancient, 17 Oct →
328msFastest reaction time · 0–13 · anubis, 10 Nov →
13–1Biggest win · inferno, 20 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
3–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 62% over 21mirageWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2113–862%0.01
infernoB2010–1050%0.00
anubisC146–843%-0.01
nukeB136–746%-0.00
ancientA127–558%-0.01
mirageC125–742%-0.04
cache—43–175%0.04
train—21–150%0.01
office—10–10%0.03
poseidon—10–10%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,526Lifetime kills
1.25K/D
1,778Matches
45.8%Match win rate
46.1%Headshot %
10.1%Shot accuracy
4,129MVPs
1,113Hours (in match)
1,232Bombs planted
371Bombs defused

Most-used weapons

Lifetime map wins

3,650inferno
3,362nuke
2,654dust2
433train
316vertigo
19office
13italy
13lake

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

Faceit stats

Combat

75Matches
45%Win rate
1.22Avg K/D
80.2ADR
36%Headshot %

Clutches & streaks

40%1v1 clutch win
35%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke650%1.3614.7
Anubis560%0.9314.0
Mirage540%1.3114.4
Inferno580%0.9511.0
Dust2475%1.5820.5
Overpass250%0.789.5
Train1100%8.008.0
Ancient10%0.7311.0

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.

18.3%Headshot accuracy
37.4%Accuracy (enemy spotted)
37.6%Spray accuracy
88.0%Counter-strafing
7.1°Preaim
523msReaction time
62.3%T opening success
40.3%CT opening success
0.52Enemies flashed / flash
7.4%Flash assists
10.49HE damage / grenade
13.90Flashes / match

Recommended for you

Spend your practice time on Mirage

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0128%15 Nov →
dust213–11-0.0520%15 Nov →
dust27–13-0.057%15 Nov →
inferno9–130.0638%15 Nov →
anubis6–13-0.0127%14 Nov →
nuke13–70.0631%14 Nov →
anubis13–60.0511%14 Nov →
inferno13–50.0525%14 Nov →
inferno12–120.0815%14 Nov →
office8–130.0333%14 Nov →
nuke9–130.069%14 Nov →
train13–10-0.0121%14 Nov →
ancient13–90.0618%14 Nov →
inferno12–120.0221%14 Nov →
anubis7–130.0315%14 Nov →
nuke2–13-0.118%13 Nov →
inferno10–130.0422%13 Nov →
poseidon6–9-0.0825%13 Nov →
inferno0–9-0.2810%12 Nov →
dust213–60.088%11 Nov →
ancient9–130.1120%11 Nov →
cache10–13-0.0212%10 Nov →
anubis0–13-0.130%10 Nov →
mirage13–10-0.0216%9 Nov →
inferno11–13-0.0213%8 Nov →
mirage10–13-0.038%8 Nov →
inferno2–130.0114%8 Nov →
anubis3–13-0.0417%7 Nov →
dust213–10-0.0115%7 Nov →
cache13–30.0833%7 Nov →
nuke0–9-0.0425%7 Nov →
dust213–60.0715%6 Nov →
dust24–130.0511%6 Nov →
nuke9–20.037%6 Nov →
inferno11–13-0.0518%6 Nov →
dust28–13-0.0921%5 Nov →
train5–130.0313%5 Nov →
anubis9–20.157%5 Nov →
cache13–40.1113%5 Nov →
dust213–30.0929%5 Nov →
dust213–70.0919%5 Nov →
dust213–3-0.0219%5 Nov →
mirage13–80.0113%5 Nov →
dust29–13-0.023%5 Nov →
mirage7–13-0.0012%5 Nov →
inferno13–11-0.015%5 Nov →
dust213–70.0118%5 Nov →
ancient13–7-0.070%5 Nov →
mirage13–8-0.080%5 Nov →
inferno13–80.0119%4 Nov →
nuke13–10-0.0116%4 Nov →
anubis13–9-0.0624%4 Nov →
inferno13–10-0.0514%3 Nov →
dust213–8-0.0419%3 Nov →
inferno11–13-0.0311%3 Nov →
nuke3–13-0.059%3 Nov →
dust23–130.0310%31 Oct →
nuke13–90.0313%31 Oct →
anubis13–60.0215%31 Oct →
mirage14–16-0.0810%31 Oct →
ancient6–13-0.057%30 Oct →
anubis13–90.0215%29 Oct →
cache13–9-0.0116%29 Oct →
dust213–100.0110%29 Oct →
mirage13–11-0.0427%28 Oct →
dust210–13-0.039%28 Oct →
dust213–10-0.0211%28 Oct →
mirage10–13-0.0013%28 Oct →
nuke5–13-0.048%28 Oct →
dust213–40.0422%26 Oct →
dust212–120.0818%26 Oct →
nuke5–13-0.0414%26 Oct →
ancient13–100.0212%26 Oct →
ancient13–2-0.0330%26 Oct →
mirage5–13-0.0723%23 Oct →
mirage11–130.0121%23 Oct →
anubis13–7-0.073%23 Oct →
inferno13–50.065%20 Oct →
inferno13–20.0513%20 Oct →
mirage5–2-0.056%20 Oct →
nuke13–90.0722%20 Oct →
inferno13–10.2314%20 Oct →
anubis10–13-0.0410%20 Oct →
ancient13–7-0.0514%19 Oct →
anubis11–13-0.0212%19 Oct →
ancient6–13-0.1117%19 Oct →
inferno5–13-0.0720%19 Oct →
inferno13–10-0.0538%17 Oct →
ancient11–13-0.0140%17 Oct →
nuke7–13-0.017%17 Oct →
ancient13–30.019%17 Oct →
ancient13–70.0414%17 Oct →
nuke13–70.0216%17 Oct →
ancient2–13-0.0917%16 Oct →
mirage3–6-0.120%16 Oct →
anubis11–13-0.0322%16 Oct →
anubis3–13-0.045%16 Oct →
inferno13–40.009%15 Oct →
dust21–130.0333%15 Oct →
dust27–0-0.0119%15 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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