Paul

Paul — CS2 Stats

DE76561198118057687[U:1:157791959]Steam profile ↗✓ No bans

874Tracked matches39%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGPaulFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning39
Utility82

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateLLLWLWLLTL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +2.1pp headshot accuracy · +25ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 522ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 597ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 584ms

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 (+3.4 against its own average).

Aim6.4
Utility8.2
Positioning3.9
Opening Duels2.4

High utility contribution

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 66% 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

Strengths

Utility. Utility score of 82 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 42% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim6.4
Positioning3.9
Utility8.2
Mechanics6.2
Opening Duels1.5
Win Impact1.4

Composite 5.1/10 (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 rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time576ms−29ms
first ⅓ avg 606ms → last ⅓ avg 576ms
Headshot accuracy11.9%+0.1%
first ⅓ avg 11.8% → last ⅓ avg 11.9%

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

0.15Best match rating · 16–2 · overpass, 6 Aug →
32%Best headshot accuracy · 2–9 · mirage, 4 Aug →
375msFastest reaction time · 2–16 · inferno, 2 Sept →
16–2Biggest win · overpass, 6 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
10–6In matches decided by ≤2 rounds
95Overtime games

Map breakdown

infernoBest map · 47% over 64dust2Weakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB6430–3447%-0.00
dust2C207–1335%0.01
overpassB157–847%0.01
mirage—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). 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.

11.4%Headshot accuracy
36.7%Accuracy (enemy spotted)
39.2%Spray accuracy
78.0%Counter-strafing
10.3°Preaim
576msReaction time
0.0%T opening success
41.9%CT opening success
0.64Enemies flashed / flash
8.5%Flash assists
10.52HE damage / grenade
10.01Flashes / 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 11.3785% — below the 15% mark we flag

    Aim Training →
  2. 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 0% — 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.

35% win rate across 20 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
overpass8–130.038%6 Sept →
inferno9–160.1212%2 Sept →
inferno2–16-0.0515%2 Sept →
inferno16–80.098%18 Aug →
overpass10–16-0.049%9 Aug →
overpass16–20.1515%6 Aug →
mirage2–9-0.0132%4 Aug →
dust27–9-0.0310%4 Aug →
inferno15–150.0317%28 Jul →
inferno11–160.0217%22 Jul →
inferno14–16-0.039%16 Jul →
inferno9–160.0115%29 Jun →
inferno13–160.0810%25 Jun →
inferno6–160.0115%21 Jun →
dust216–100.0510%19 Jun →
inferno9–160.0111%19 Jun →
inferno12–16-0.0816%19 Jun →
inferno16–90.059%17 Jun →
inferno16–120.0314%14 Jun →
overpass16–120.0110%14 Jun →
inferno16–130.0414%14 Jun →
inferno13–16-0.0714%13 Jun →
inferno12–16-0.046%13 Jun →
inferno15–15-0.0110%11 Jun →
inferno13–16-0.036%11 Jun →
inferno16–140.019%9 Jun →
inferno16–9-0.0210%8 Jun →
inferno16–9-0.056%6 Jun →
inferno12–16-0.084%4 Jun →
inferno16–11-0.0013%2 Jun →
overpass8–16-0.0514%28 May →
inferno16–12-0.0215%28 May →
overpass16–20.079%27 May →
inferno16–120.013%26 May →
overpass16–14-0.0414%26 May →
inferno16–60.106%26 May →
overpass16–140.018%21 May →
inferno16–80.0510%19 May →
overpass15–150.018%17 May →
inferno16–110.007%17 May →
overpass16–140.0411%14 May →
inferno16–70.029%14 May →
inferno16–11-0.019%14 May →
inferno13–16-0.0514%11 May →
overpass11–50.026%10 May →
inferno16–90.0417%7 May →
dust211–16-0.0610%7 May →
inferno13–16-0.0110%7 May →
inferno16–120.059%4 May →
overpass7–160.013%4 May →
overpass12–16-0.0512%30 Apr →
inferno7–16-0.0512%30 Apr →
inferno16–100.028%27 Apr →
dust29–160.0115%25 Apr →
inferno16–140.019%25 Apr →
dust216–30.0923%23 Apr →
inferno16–130.0311%23 Apr →
inferno16–140.0715%16 Apr →
dust214–16-0.0415%16 Apr →
dust212–160.0416%15 Apr →
dust211–16-0.047%15 Apr →
inferno16–14-0.017%15 Apr →
inferno13–16-0.0113%15 Apr →
dust216–12-0.0217%15 Apr →
inferno14–16-0.016%15 Apr →
inferno12–16-0.029%15 Apr →
dust211–16-0.0316%5 Jan →
inferno16–70.0427%5 Jan →
inferno16–13-0.0110%30 Dec →
inferno15–150.0012%25 Dec →
inferno3–16-0.058%25 Dec →
dust214–16-0.0618%22 Dec →
inferno11–16-0.016%22 Dec →
inferno3–16-0.0618%22 Dec →
dust216–80.1212%20 Dec →
inferno10–16-0.037%20 Dec →
inferno8–16-0.0323%17 Dec →
dust216–140.0610%12 Dec →
inferno15–150.0017%12 Dec →
inferno16–7-0.0214%10 Dec →
inferno15–15-0.046%7 Dec →
dust215–40.0211%4 Dec →
overpass10–16-0.0411%4 Dec →
inferno15–15-0.0311%4 Dec →
dust216–140.0323%2 Dec →
inferno6–16-0.0118%2 Dec →
inferno16–5-0.0513%2 Dec →
overpass10–16-0.036%30 Nov →
dust215–15-0.035%30 Nov →
inferno16–110.083%30 Nov →
dust29–160.0718%29 Nov →
dust21–10-0.040%29 Nov →
inferno16–20.0415%29 Nov →
inferno14–160.0111%23 Nov →
inferno4–16-0.0810%23 Nov →
dust29–16-0.045%21 Nov →
inferno15–15-0.0316%21 Nov →
inferno16–140.039%16 Nov →
inferno16–6-0.0210%13 Nov →
dust29–160.027%13 Nov →

Match data via Leetify.

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.