paul

paul — CS2 Stats

76561199573306950[U:1:1613041222]Steam profile ↗✓ No bans

752Tracked matches41%Win rate2024Tracked since
1,042Hours in CS3Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating15,672Purple band · top ~25.7% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 15,672 -899 7 Aug – 30 Oct · 35 days played
15,67219,053peak 19,0537 Aug30 Oct
19,053Peak Premier in tracked matches
42Days played since 2026-08-07

Premier CS Rating

  • 3,381 below peak (19,053)
  • -2,039 over 30 days · declining
  • -899 over 90 days
  • Next: Pink band at 20,000 — 4,328 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate58.6%44.4%46.9%above
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.301.031.08above
Match win rate43.4%45.2%46.7%3.2% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpaulPREMIER15,672 · Purple bandcsdb.gg/stats

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Performance scores

Aim78
Positioning48
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWLLWWLWLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.6pp headshot accuracy · +52ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 680ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 610ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • 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 (+2.2 against its own average).

Aim7.8
Utility5.0
Positioning4.8
Opening Duels1.5
Clutch0.0

Excellent 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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 554ms 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

Aim7.8
Positioning4.8
Utility5.0
Mechanics9.0
Opening Duels2.7
Win Impact2.1

Composite 5.9/10 (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 rating-0.01−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time549ms+13ms
first ⅓ avg 536ms → last ⅓ avg 549ms
Headshot accuracy21.3%+1.4%
first ⅓ avg 19.9% → last ⅓ avg 21.3%

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.

Personal bests

0.24Best match rating · 9–2 · inferno, 22 Sept →
73%Best headshot accuracy · 13–2 · nuke, 18 Sept →
375msFastest reaction time · 9–7 · inferno, 18 Sept →
13–1Biggest win · anubis, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 74% over 23dust2Weakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeS2317–674%0.01
infernoS1914–574%0.00
dust2D153–1220%-0.02
cacheC156–940%-0.01
mirageA127–558%-0.00
anubisC83–538%-0.01
ancient—41–325%-0.04
train—21–150%-0.04
rush_001—10–10%0.01
vertigo—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,669Lifetime kills
1.30K/D · Top 10% of Purple band
981Matches
43.4%Match win rate
58.6%Headshot % · Top 10% of Purple band
0.0%Shot accuracy
1,919MVPs
2,219Hours (in match)
846Bombs planted
260Bombs defused

Most-used weapons

Lifetime map wins

1,824nuke
1,751dust2
1,648inferno
272vertigo
198train
13italy
9ar_shoots
8office

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

Faceit stats

Combat

2Matches
0%Win rate
0.55Avg K/D
58.5ADR
18%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.315.0
Anubis10%0.7919.0

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.

18.4%Headshot accuracy
32.8%Accuracy (enemy spotted)
40.8%Spray accuracy
90.7%Counter-strafing
10.3°Preaim
554msReaction time
46.8%T opening success
34.6%CT opening success
0.67Enemies flashed / flash
6.9%Flash assists
8.81HE damage / grenade
7.52Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.5784% — 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.

20% win rate across 15 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
nuke13–80.0221%30 Oct →
dust211–13-0.0125%25 Oct →
dust28–130.0113%22 Oct →
mirage13–10-0.0411%16 Oct →
mirage7–10.0121%16 Oct →
dust26–13-0.0514%7 Oct →
nuke7–0-0.0233%7 Oct →
rush_0015–80.0140%4 Oct →
mirage9–130.0614%3 Oct →
mirage1–8-0.0440%3 Oct →
dust28–13-0.0423%1 Oct →
inferno13–6-0.0413%1 Oct →
ancient9–13-0.0416%1 Oct →
anubis13–1-0.0033%30 Sept →
vertigo2–130.0324%30 Sept →
dust28–13-0.0524%30 Sept →
dust29–13-0.0717%29 Sept →
nuke13–2-0.0222%29 Sept →
mirage14–160.0010%25 Sept →
nuke6–13-0.0235%24 Sept →
inferno13–110.0315%24 Sept →
nuke2–13-0.0912%23 Sept →
nuke13–50.0415%23 Sept →
dust25–13-0.0114%23 Sept →
mirage13–40.0314%22 Sept →
inferno3–13-0.0421%22 Sept →
inferno0–9-0.2027%22 Sept →
inferno9–20.2440%22 Sept →
anubis13–16-0.0315%20 Sept →
cache13–10-0.0521%20 Sept →
inferno15–15-0.0519%20 Sept →
inferno9–7-0.0221%18 Sept →
dust213–110.0221%18 Sept →
mirage10–13-0.0311%18 Sept →
nuke7–13-0.0422%18 Sept →
inferno8–80.0721%18 Sept →
nuke13–20.0273%18 Sept →
nuke13–9-0.0113%18 Sept →
anubis10–13-0.0210%16 Sept →
mirage9–13-0.0232%15 Sept →
cache13–5-0.0722%15 Sept →
inferno9–60.0117%15 Sept →
cache4–13-0.0617%13 Sept →
dust25–130.0314%13 Sept →
cache15–150.0316%8 Sept →
dust213–10-0.0219%8 Sept →
cache13–90.0725%8 Sept →
cache13–50.0217%8 Sept →
ancient3–13-0.048%7 Sept →
nuke13–20.0450%7 Sept →
train13–10-0.0516%7 Sept →
nuke13–4-0.0215%7 Sept →
dust214–16-0.0418%4 Sept →
inferno13–11-0.0627%4 Sept →
cache6–13-0.0715%4 Sept →
anubis3–13-0.0616%4 Sept →
anubis13–10-0.0025%3 Sept →
mirage13–110.0314%3 Sept →
cache13–20.0023%3 Sept →
dust211–13-0.0411%3 Sept →
mirage16–13-0.0419%1 Sept →
dust22–13-0.0721%1 Sept →
inferno13–10-0.0017%31 Aug →
train2–13-0.0356%30 Aug →
nuke13–10-0.0210%30 Aug →
inferno9–40.0733%30 Aug →
inferno10–13-0.0427%28 Aug →
nuke13–70.0115%28 Aug →
dust29–13-0.0423%28 Aug →
nuke13–80.0223%27 Aug →
mirage13–8-0.0419%27 Aug →
dust213–10.1430%27 Aug →
cache10–130.0226%27 Aug →
ancient13–16-0.0513%26 Aug →
ancient16–13-0.0315%25 Aug →
cache13–10-0.0326%24 Aug →
inferno13–8-0.0217%23 Aug →
mirage13–110.0228%22 Aug →
nuke6–130.0613%20 Aug →
cache6–13-0.0014%19 Aug →
nuke13–7-0.0117%19 Aug →
anubis8–13-0.0212%19 Aug →
anubis8–13-0.0518%18 Aug →
nuke13–90.0815%18 Aug →
nuke16–140.0118%18 Aug →
cache5–13-0.0013%16 Aug →
nuke10–130.0726%16 Aug →
inferno13–40.0622%14 Aug →
nuke13–110.0231%14 Aug →
anubis13–50.0920%13 Aug →
cache9–130.0018%13 Aug →
inferno9–40.1431%13 Aug →
nuke16–140.0526%12 Aug →
inferno13–9-0.0315%12 Aug →
cache7–130.0024%12 Aug →
nuke13–80.0528%9 Aug →
cache4–13-0.0815%9 Aug →
nuke13–160.0613%7 Aug →
inferno13–10-0.0516%7 Aug →
inferno13–7-0.0119%7 Aug →

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 →

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