Pauly

Pauly — CS2 Stats

76561198054563292[U:1:94297564]Steam profile ↗✓ No bans

770Tracked matches34%Win rate2020Tracked since
CSDB Rating3.2 LearningSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 2,789 +215 23 May – 21 Jun · 4 days played
2,5743,032peak 3,03223 May21 Jun
3,032Peak Premier in tracked matches
61Days played since 2025-09-05

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

Performance scores

Aim29
Positioning33
Utility44

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLLLWLLLWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.9pp headshot accuracy · −55ms 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 -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 738ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 752ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 780ms

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 (+1.5 against its own average).

Aim2.9
Utility4.4
Positioning3.3
Opening Duels1.1

Limited 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

jL

Plays most like jL 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim 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

Reaction time. 759ms 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

Aim2.9
Positioning3.3
Utility4.4
Mechanics7.0
Opening Duels0.0
Win Impact0.0

Composite 3.2/10 (Learning), 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-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time754ms+51ms
first ⅓ avg 702ms → last ⅓ avg 754ms
Headshot accuracy17.1%−0.7%
first ⅓ avg 17.8% → last ⅓ avg 17.1%

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

0.08Best match rating · 13–6 · nuke, 30 Jul →
37%Best headshot accuracy · 10–13 · dust2, 20 Jul →
516msFastest reaction time · 13–8 · ancient, 26 Jul →
13–1Biggest win · dust2, 17 Jan →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
10–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 50% over 6ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B7034–3649%-0.05
ancientD91–811%-0.06
infernoC83–538%-0.05
overpassB63–350%-0.05
nuke—31–233%-0.04
mirage—20–20%-0.06
cache—20–20%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient 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.

17.5%Headshot accuracy
27.8%Accuracy (enemy spotted)
31.2%Spray accuracy
81.7%Counter-strafing
13.1°Preaim
759msReaction time
29.8%T opening success
30.3%CT opening success
0.63Enemies flashed / flash
7.6%Flash assists
7.83HE damage / grenade
2.66Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1026° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 759.145ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.6629 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0620%9 Aug →
cache10–13-0.0225%2 Aug →
dust25–13-0.0215%1 Aug →
nuke13–60.0821%30 Jul →
dust25–13-0.1020%30 Jul →
ancient9–13-0.0914%29 Jul →
dust210–13-0.0516%29 Jul →
dust216–14-0.096%26 Jul →
ancient9–13-0.0515%26 Jul →
ancient13–8-0.0613%26 Jul →
ancient7–13-0.0918%25 Jul →
dust213–4-0.0314%23 Jul →
dust210–13-0.0737%20 Jul →
dust28–13-0.0410%20 Jul →
dust213–8-0.0520%18 Jul →
dust213–11-0.0114%18 Jul →
dust213–7-0.0220%18 Jul →
dust24–13-0.0819%27 Jun →
dust29–13-0.1111%25 Jun →
dust212–12-0.0421%21 Jun →
dust21–13-0.0828%21 Jun →
dust25–13-0.0722%21 Jun →
dust22–0-0.080%21 Jun →
dust29–13-0.0123%21 Jun →
dust28–13-0.0020%20 Jun →
dust29–13-0.0813%18 Jun →
dust26–13-0.0722%13 Jun →
dust213–10-0.0518%13 Jun →
ancient10–13-0.0715%28 May →
inferno13–80.047%26 May →
dust29–13-0.0519%26 May →
dust213–11-0.0216%25 May →
inferno11–8-0.0211%23 May →
dust213–80.0419%23 May →
dust210–13-0.1018%23 May →
overpass13–9-0.038%16 May →
dust213–5-0.0315%16 May →
nuke9–13-0.1117%16 May →
ancient8–13-0.0221%14 May →
dust213–40.0319%14 May →
cache7–13-0.0218%9 May →
dust213–9-0.0318%9 May →
ancient11–13-0.0322%4 May →
dust213–7-0.0313%4 May →
dust28–13-0.0616%3 May →
dust210–13-0.1514%3 May →
overpass13–80.0315%25 Apr →
dust213–10-0.0519%25 Apr →
inferno14–16-0.0715%19 Apr →
dust213–20.0517%19 Apr →
dust213–10-0.0515%18 Apr →
dust213–10-0.0318%18 Apr →
inferno13–16-0.0811%28 Mar →
dust26–13-0.1022%28 Mar →
dust26–13-0.0421%20 Mar →
dust213–5-0.009%13 Mar →
dust210–13-0.1211%12 Mar →
dust213–11-0.0616%11 Mar →
dust213–10-0.0227%7 Mar →
overpass14–16-0.1016%22 Feb →
dust29–13-0.025%22 Feb →
dust211–13-0.0715%21 Feb →
overpass13–5-0.0321%21 Feb →
mirage11–13-0.069%21 Feb →
nuke5–13-0.0812%21 Feb →
dust24–13-0.0614%20 Feb →
dust211–13-0.0219%20 Feb →
inferno5–13-0.0818%20 Feb →
overpass10–13-0.078%19 Feb →
dust215–15-0.0214%7 Feb →
dust213–4-0.0132%7 Feb →
dust213–11-0.0516%7 Feb →
inferno9–13-0.0514%1 Feb →
inferno13–8-0.0519%1 Feb →
dust213–9-0.0121%1 Feb →
ancient6–13-0.0714%31 Jan →
ancient11–13-0.0524%30 Jan →
dust216–14-0.0117%25 Jan →
inferno7–13-0.0515%24 Jan →
dust213–8-0.058%17 Jan →
dust213–9-0.0220%17 Jan →
dust213–1-0.0510%17 Jan →
dust22–13-0.1223%17 Jan →
overpass14–16-0.0814%4 Jan →
dust210–13-0.0814%4 Jan →
dust213–9-0.0522%24 Dec →
dust213–11-0.0316%23 Dec →
dust25–13-0.0611%21 Dec →
dust210–13-0.0017%1 Nov →
dust213–11-0.0128%25 Oct →
dust29–13-0.0618%17 Oct →
dust26–13-0.159%28 Sept →
dust213–4-0.0622%25 Sept →
dust212–12-0.0730%20 Sept →
dust213–110.0124%19 Sept →
dust210–13-0.0211%18 Sept →
dust213–8-0.0421%12 Sept →
dust212–12-0.0013%8 Sept →
dust28–13-0.0129%6 Sept →
dust213–10-0.0416%5 Sept →

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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