Paang

Paang — CS2 Stats

US76561198375249274[U:1:414983546]Steam profile ↗✓ No bans

2,764Tracked matches57%Win rate2023Tracked since
1,159Hours in CS
CSDB Rating8.1 StrongEntry Fragger
Premier CS Rating25,993Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#1088 of 9356 tracked
FaceitLevel 8 · 1,306 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPaangFACEITLevel 8 · 1,306 ELOSTANDINGTop 31.2% of rankedPREMIER25,993 · Red bandcsdb.gg/stats

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Performance scores

Aim94
Positioning71
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateLWWLWLWWLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim9.4
Aggression10.0
Utility5.4
Positioning7.1
Opening Duels7.1
Clutch2.2

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

s1mple

Plays most like s1mple 96% playstyle similarity

Most alike: opening-fight frequency, 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 94 — the mechanical foundation is a clear strength.

CT openings. 64% 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.

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

Aim9.4
Positioning7.1
Utility5.4
Mechanics8.1
Opening Duels7.1
Win Impact7.2

Composite 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time498ms−44ms
first ⅓ avg 541ms → last ⅓ avg 498ms
Headshot accuracy20.3%−7.5%
first ⅓ avg 27.8% → last ⅓ avg 20.3%

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.

Highlights

0.15Best rating — anubis 13–7
131Biggest win — mirage
10Longest win streak
118In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 65% over 20infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
anubisA28161257%0.03
ancientA2314961%0.03
dust2S2013765%0.05
mirageB126650%0.02
infernoC114736%0.02
cache41325%-0.01
nuke1010%0.04
vertigo1010%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,695Lifetime kills
0.97K/D
3,221Matches
42.4%Match win rate
38.4%Headshot %
3.9%Shot accuracy
6,025MVPs
1,159Hours (in match)
3,162Bombs planted
684Bombs defused

Most-used weapons

Lifetime map wins

5,816dust2
3,231inferno
1,964vertigo
1,479train
580nuke
222office
14cbble
13italy

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

Faceit stats

Combat

317Matches
52%Win rate
1.16Avg K/D
79.6ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust28049%1.2116.4
Anubis6166%1.4617.1
Ancient5549%1.1417.8
Mirage3554%1.0415.2
Inferno2167%1.1817.1
Overpass1217%1.0317.5
Cache40%0.7211.3
Nuke450%0.7512.3

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.

20.2%Headshot accuracy
40.5%Accuracy (enemy spotted)
41.6%Spray accuracy
86.6%Counter-strafing
6.5°Preaim
498msReaction time
52.7%T opening success
64.2%CT opening success
0.46Enemies flashed / flash
9.1%Flash assists
13.48HE damage / grenade
7.46Flashes / 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 0.4631 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0118%28 Aug
anubis13–50.1218%28 Aug
anubis13–7-0.0211%27 Aug
ancient6–130.0131%25 Aug
anubis13–70.0316%25 Aug
mirage10–13-0.045%24 Aug
ancient13–60.0120%24 Aug
dust213–90.0418%24 Aug
anubis14–160.0720%23 Aug
inferno10–130.0422%23 Aug
inferno12–160.0719%22 Aug
ancient13–110.0126%22 Aug
dust25–13-0.0019%20 Aug
dust29–130.0525%20 Aug
anubis13–60.119%18 Aug
anubis9–130.0239%18 Aug
dust29–130.0234%18 Aug
anubis13–110.0621%13 Aug
mirage13–100.0322%13 Aug
dust213–50.0715%13 Aug
anubis13–80.0120%13 Aug
dust213–110.1331%11 Aug
mirage13–80.0614%11 Aug
ancient13–80.0410%11 Aug
dust213–60.0410%10 Aug
ancient13–30.0229%9 Aug
anubis13–110.0815%9 Aug
inferno8–130.0412%9 Aug
anubis9–13-0.0221%9 Aug
mirage9–130.0532%9 Aug
mirage13–11-0.0040%8 Aug
ancient13–90.0612%8 Aug
ancient11–13-0.0215%8 Aug
inferno13–100.0622%8 Aug
anubis11–130.0027%7 Aug
dust213–90.0533%7 Aug
dust213–90.0427%7 Aug
mirage13–10.0833%7 Aug
ancient8–130.0242%7 Aug
anubis13–70.0620%4 Aug
anubis6–130.0239%3 Aug
ancient10–130.0920%2 Aug
dust214–160.0913%2 Aug
ancient13–110.1016%2 Aug
inferno3–13-0.0142%2 Aug
ancient13–9-0.0118%2 Aug
anubis12–16-0.0316%2 Aug
anubis13–70.1516%2 Aug
nuke11–130.0433%1 Aug
vertigo4–130.0338%1 Aug
anubis15–15-0.0112%1 Aug
ancient8–130.0331%1 Aug
dust216–140.0819%1 Aug
ancient13–80.0817%31 Jul
anubis5–13-0.0118%31 Jul
cache11–130.0239%31 Jul
inferno13–110.0723%31 Jul
dust213–80.0330%29 Jul
dust213–80.0332%29 Jul
mirage3–130.0417%29 Jul
anubis13–70.1424%28 Jul
dust213–160.0127%28 Jul
ancient17–19-0.0323%28 Jul
mirage13–40.0626%27 Jul
anubis8–13-0.0526%27 Jul
dust211–130.0219%27 Jul
anubis13–30.1224%27 Jul
mirage8–13-0.0742%27 Jul
dust29–13-0.0514%27 Jul
anubis9–13-0.0135%27 Jul
cache6–13-0.0729%27 Jul
dust213–60.0828%27 Jul
anubis13–6-0.0120%26 Jul
ancient13–100.0323%26 Jul
anubis13–7-0.0553%26 Jul
anubis15–150.0422%25 Jul
cache13–80.0342%25 Jul
dust213–80.0536%25 Jul
cache5–13-0.0115%25 Jul
ancient13–9-0.0033%25 Jul
inferno4–13-0.0432%25 Jul
mirage13–8-0.0352%24 Jul
anubis13–7-0.0018%24 Jul
inferno13–10-0.0116%24 Jul
ancient11–10.048%24 Jul
ancient13–80.0833%23 Jul
anubis13–110.0414%23 Jul
ancient13–11-0.0135%22 Jul
inferno8–130.0329%21 Jul
mirage9–13-0.0019%21 Jul
ancient6–130.0643%20 Jul
anubis9–130.006%20 Jul
dust213–60.1224%20 Jul
ancient10–130.0823%20 Jul
inferno16–120.0439%17 Jul
mirage9–130.0121%17 Jul
dust213–70.0530%17 Jul
inferno5–13-0.0717%17 Jul
ancient13–60.0142%17 Jul
anubis16–140.0822%16 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →