Paul

Paul — CS2 Stats

AF76561198323620472[U:1:363354744]Steam profile ↗✓ No bans

2,088Tracked matches54%Win rate2020Tracked since
4,425Hours in CS15Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating25,526Top 10% of 215,558 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#17689 of 261660 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,088 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,526 +5,132 28 Aug – 12 Nov · 26 days played
20,39425,980peak 25,98028 Aug12 Nov
26,386Peak Premier in tracked matches
20Days played since 2026-08-28

Premier CS Rating

  • 454 below peak (25,980)
  • +1,497 over 30 days · improving
  • +5,132 over 90 days
  • Next: Gold band at 30,000 — 4,474 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-19
  • Pink 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 Level 9 among CSDB-tracked players (n=15,553), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate51.5%48.2%50.9%meets
Shot accuracy13.6%13.2%13.7%meets
Kill/death ratio0.931.071.090.16 short
Match win rate47.3%46.9%48.4%1.1% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPaulFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,526 · Red bandcsdb.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

Aim73
Positioning67
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLLLWLWWTWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.8pp headshot accuracy · −66ms 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 -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 522ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 528ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim7.3
Utility4.6
Positioning6.7
Opening Duels5.7
Clutch3.4

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 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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. 564ms 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

Aim7.3
Positioning6.7
Utility4.6
Mechanics8.1
Opening Duels6.2
Win Impact6.2

Composite 7.0/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time567ms+21ms
first ⅓ avg 547ms → last ⅓ avg 567ms
Headshot accuracy17.2%+0.1%
first ⅓ avg 17.1% → last ⅓ avg 17.2%

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

0.12Best match rating · 13–5 · mirage, 12 Oct →
36%Best headshot accuracy · 8–1 · ancient, 5 Oct →
422msFastest reaction time · 8–13 · ancient, 25 Oct →
13–3Biggest win · anubis, 9 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
8–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 67% over 15ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2711–1641%-0.01
mirageA2011–955%0.00
anubisS1510–567%-0.01
ancientC114–736%-0.01
cacheC94–544%-0.01
nukeA95–456%-0.01
infernoC83–538%-0.03
vertigo—11–0100%0.01

Across the last 100 tracked matches.

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

Lifetime stats

133,781Lifetime kills
0.93K/D
5,168Matches
47.3%Match win rate · Top 50% of Level 9 players
51.5%Headshot % · Top 50% of Level 9 players
13.6%Shot accuracy · Top 50% of Level 9 players
15,019MVPs
3,171Hours (in match)
3,825Bombs planted
1,801Bombs defused

Most-used weapons

AK-4757,573
AWP11,519
MP93,202
MAC-102,407
Knife2,336
SSG 081,433

Lifetime map wins

9,487inferno
6,947dust2
2,935train
2,578vertigo
1,964nuke
1,161cbble
247lake
74office

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

Faceit stats

Combat

1,203Matches
52%Win rate
1.17Avg K/D
87.7ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11954%1.1716.6
Anubis9854%1.1818.4
Ancient7358%1.1816.8
Vertigo7251%1.1716.9
Inferno3743%1.0416.9
Dust22733%1.0816.0
Overpass2167%1.3917.5
Nuke2040%1.0918.1

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.

17.4%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.9%Spray accuracy
86.2%Counter-strafing
8.6°Preaim
564msReaction time
50.2%T opening success
59.6%CT opening success
0.57Enemies flashed / flash
8.1%Flash assists
9.01HE damage / grenade
4.36Flashes / match

Recommended for you

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 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0311%9 Nov →
cache10–130.0320%9 Nov →
cache7–13-0.0416%9 Nov →
mirage13–10-0.0528%9 Nov →
ancient3–13-0.0410%9 Nov →
dust213–100.0219%9 Nov →
anubis13–30.0217%9 Nov →
dust215–150.0328%9 Nov →
ancient13–70.0319%9 Nov →
dust211–130.0119%9 Nov →
mirage13–80.119%9 Nov →
anubis13–70.0916%9 Nov →
dust25–13-0.0322%9 Nov →
dust211–130.0022%8 Nov →
mirage16–14-0.0216%8 Nov →
cache10–130.0320%8 Nov →
dust215–150.0415%8 Nov →
dust213–10-0.0011%8 Nov →
dust29–13-0.0214%8 Nov →
cache13–4-0.0323%7 Nov →
mirage9–13-0.0015%7 Nov →
nuke5–13-0.037%7 Nov →
mirage16–14-0.0219%7 Nov →
anubis13–70.0116%26 Oct →
dust213–11-0.0315%26 Oct →
cache13–90.0120%26 Oct →
inferno13–30.0016%26 Oct →
dust213–90.0416%26 Oct →
cache10–13-0.0418%26 Oct →
dust29–13-0.0315%26 Oct →
dust24–13-0.0124%26 Oct →
mirage13–160.0116%26 Oct →
mirage13–80.0213%26 Oct →
mirage13–8-0.0112%25 Oct →
dust216–13-0.0515%25 Oct →
nuke13–4-0.0411%25 Oct →
nuke3–13-0.0114%25 Oct →
inferno13–70.0116%25 Oct →
anubis13–5-0.0113%25 Oct →
dust213–80.0214%25 Oct →
dust213–3-0.0124%25 Oct →
ancient8–13-0.0311%25 Oct →
mirage7–13-0.0723%19 Oct →
anubis10–13-0.0312%19 Oct →
cache16–13-0.0621%19 Oct →
mirage7–13-0.0110%19 Oct →
ancient9–13-0.0420%19 Oct →
dust213–7-0.0023%19 Oct →
mirage9–13-0.0614%19 Oct →
anubis13–100.026%19 Oct →
anubis13–80.0211%17 Oct →
anubis11–13-0.0222%16 Oct →
ancient11–13-0.0516%15 Oct →
anubis13–10-0.0311%15 Oct →
nuke7–130.0017%12 Oct →
nuke13–8-0.0235%12 Oct →
inferno1–13-0.057%12 Oct →
mirage14–16-0.0622%12 Oct →
inferno10–13-0.0511%12 Oct →
anubis13–90.0218%12 Oct →
mirage6–13-0.028%12 Oct →
mirage13–50.1216%12 Oct →
inferno3–130.0010%11 Oct →
nuke13–11-0.0117%6 Oct →
dust25–13-0.0417%5 Oct →
cache13–70.0016%5 Oct →
mirage9–130.0031%5 Oct →
mirage13–110.0419%5 Oct →
nuke13–60.0111%5 Oct →
cache6–13-0.0118%5 Oct →
inferno13–90.0118%5 Oct →
ancient8–10.0136%5 Oct →
nuke13–9-0.0228%5 Oct →
nuke5–13-0.029%5 Oct →
anubis13–11-0.0521%5 Oct →
dust28–13-0.0213%5 Oct →
anubis9–13-0.1020%5 Oct →
inferno7–13-0.0613%4 Oct →
dust213–11-0.0519%4 Oct →
mirage16–130.019%4 Oct →
ancient8–13-0.0115%3 Oct →
dust27–13-0.0332%3 Oct →
mirage15–150.0014%3 Oct →
ancient10–13-0.0613%26 Sept →
anubis13–4-0.0313%26 Sept →
dust24–13-0.0118%21 Sept →
dust213–4-0.049%21 Sept →
dust213–16-0.0414%20 Sept →
ancient13–60.1123%20 Sept →
dust25–130.0915%20 Sept →
anubis2–13-0.0515%20 Sept →
mirage13–80.0225%20 Sept →
anubis15–150.019%15 Sept →
dust23–13-0.0024%15 Sept →
dust28–13-0.0311%13 Sept →
dust213–11-0.0114%13 Sept →
ancient13–3-0.036%13 Sept →
vertigo13–90.0123%13 Sept →
inferno3–13-0.0821%13 Sept →
mirage13–60.0418%13 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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