_PAul-

_PAul- — CS2 Stats

76561197995196878[U:1:34931150]Steam profile ↗✓ No bans

443Tracked matches40%Win rate2022Tracked since
CSDB Rating4.2 DevelopingSupport
Premier CS Rating10,627Blue band · top ~51.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (3 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: 10,627 +159 16 Jul – 28 Sept · 41 days played
10,00012,631peak 12,63116 Jul28 Sept
12,631Peak Premier in tracked matches
41Days played since 2026-07-16

Premier CS Rating

  • 2,004 below peak (12,631)
  • -1,156 over 30 days · declining
  • Next: Purple band at 15,000 — 4,373 to go
  • Reached: 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.GG_PAul-PREMIER10,627 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning50
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWWLLLWLWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +3.9pp headshot accuracy · −36ms reaction

Win rate up 30pp 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 -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 616ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 599ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 617ms

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 (+1.3 against its own average).

Aim5.0
Utility5.2
Positioning5.0
Opening Duels1.5

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

NiKo

Plays most like NiKo 73% 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. 622ms 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

Aim5.0
Positioning5.0
Utility5.2
Mechanics5.8
Opening Duels1.4
Win Impact1.7

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time618ms−63ms
first ⅓ avg 681ms → last ⅓ avg 618ms
Headshot accuracy16.1%+0.8%
first ⅓ avg 15.3% → last ⅓ avg 16.1%

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

0.10Best match rating · 6–0 · dust2, 21 Aug →
39%Best headshot accuracy · 6–13 · ancient, 9 Aug →
438msFastest reaction time · 6–0 · dust2, 21 Aug →
13–1Biggest win · ancient, 25 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 55% over 31ancientWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
dust2A3117–1455%-0.01
infernoC239–1439%-0.01
ancientC228–1436%-0.02
anubisA116–555%-0.01
mirageC83–538%-0.00
nuke—31–233%0.04
cache—21–150%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 22). 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.

16.3%Headshot accuracy
31.1%Accuracy (enemy spotted)
31.4%Spray accuracy
76.3%Counter-strafing
10.2°Preaim
622msReaction time
27.2%T opening success
40.9%CT opening success
0.51Enemies flashed / flash
5.1%Flash assists
9.45HE damage / grenade
5.60Flashes / 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

    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 27.1825% — below the 40% mark we flag

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.

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0128%28 Sept →
nuke13–11-0.0221%28 Sept →
ancient8–13-0.0513%18 Sept →
ancient9–13-0.019%17 Sept →
dust26–13-0.0520%17 Sept →
inferno13–110.0124%17 Sept →
dust211–13-0.0610%16 Sept →
inferno13–100.0223%16 Sept →
dust213–100.0422%15 Sept →
ancient13–40.0316%15 Sept →
dust210–13-0.018%15 Sept →
dust23–13-0.0431%15 Sept →
mirage10–13-0.0614%14 Sept →
inferno11–13-0.055%13 Sept →
inferno5–13-0.109%10 Sept →
dust213–30.0018%10 Sept →
nuke9–130.094%8 Sept →
anubis13–70.0521%8 Sept →
ancient6–13-0.0618%7 Sept →
dust213–80.0020%7 Sept →
dust211–13-0.0112%5 Sept →
inferno11–130.0315%5 Sept →
ancient13–70.0430%5 Sept →
dust213–6-0.0010%5 Sept →
nuke7–130.0510%3 Sept →
dust28–13-0.058%3 Sept →
dust25–13-0.1313%2 Sept →
inferno8–13-0.0021%2 Sept →
inferno8–13-0.0725%27 Aug →
ancient13–90.0014%25 Aug →
dust213–70.0617%25 Aug →
ancient7–13-0.058%25 Aug →
ancient13–10.0013%25 Aug →
inferno13–7-0.0123%24 Aug →
anubis13–60.0422%24 Aug →
ancient13–80.0116%21 Aug →
dust26–00.1018%21 Aug →
anubis12–16-0.032%21 Aug →
ancient15–15-0.0210%19 Aug →
ancient13–100.059%18 Aug →
dust213–100.0623%18 Aug →
anubis10–13-0.0023%15 Aug →
mirage2–13-0.0711%15 Aug →
inferno13–50.0620%14 Aug →
inferno16–120.0413%12 Aug →
dust213–11-0.0110%12 Aug →
ancient8–13-0.099%12 Aug →
dust213–100.0014%10 Aug →
dust213–16-0.0512%10 Aug →
cache8–130.0514%10 Aug →
inferno7–130.0423%9 Aug →
ancient10–130.0112%9 Aug →
anubis1–13-0.049%9 Aug →
mirage7–130.0026%9 Aug →
mirage6–13-0.0717%9 Aug →
ancient6–13-0.0339%9 Aug →
dust27–13-0.0120%8 Aug →
cache13–80.0916%8 Aug →
inferno8–13-0.0725%8 Aug →
dust213–9-0.0621%8 Aug →
ancient10–13-0.0416%7 Aug →
anubis16–130.0325%6 Aug →
anubis6–13-0.0421%6 Aug →
anubis13–10-0.0218%5 Aug →
mirage8–13-0.0126%5 Aug →
dust213–70.0721%4 Aug →
anubis13–100.0128%4 Aug →
ancient4–13-0.0814%3 Aug →
inferno7–2-0.0423%3 Aug →
inferno9–130.0132%3 Aug →
dust24–13-0.0712%2 Aug →
ancient11–13-0.0412%2 Aug →
dust24–130.0224%1 Aug →
inferno15–15-0.0413%1 Aug →
inferno13–7-0.0313%27 Jul →
inferno6–13-0.0213%27 Jul →
inferno13–16-0.0113%26 Jul →
ancient13–110.057%25 Jul →
inferno11–130.0119%25 Jul →
dust213–3-0.0123%25 Jul →
dust213–1-0.0420%25 Jul →
inferno13–90.0516%24 Jul →
dust213–60.0112%24 Jul →
dust213–16-0.0214%24 Jul →
inferno4–13-0.0032%23 Jul →
mirage13–110.056%23 Jul →
dust21–13-0.109%23 Jul →
ancient8–13-0.0212%22 Jul →
dust210–13-0.0326%22 Jul →
dust213–70.0711%21 Jul →
anubis13–70.0316%21 Jul →
inferno11–130.0122%21 Jul →
anubis5–13-0.095%18 Jul →
dust213–3-0.0012%18 Jul →
ancient13–90.0210%18 Jul →
mirage13–70.0614%18 Jul →
mirage13–70.0614%18 Jul →
dust213–11-0.0016%18 Jul →
ancient5–13-0.0410%16 Jul →
ancient13–16-0.0411%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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