paul

paul — CS2 Stats

GB76561198026622692[U:1:66356964]Steam profile ↗✓ No bans

854Tracked matches59%Win rate2024Tracked since
928Hours in CS24Hrs last 2 wks
CSDB Rating6.7 SolidSupport
Premier CS Rating16,767Purple band · top ~21.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 16,767 +2,396 23 Aug – 3 Nov · 38 days played
13,52517,029peak 17,02923 Aug3 Nov
17,029Peak Premier in tracked matches
59Days played since 2026-08-14

Premier CS Rating

  • 262 below peak (17,029)
  • +1,920 over 30 days · improving
  • Next: Pink band at 20,000 — 3,233 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-15
  • Light Blue band first seen 2026-09-15

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate55.8%43.8%44.8%above
Shot accuracy1.4%12.0%12.4%11.0% short
Kill/death ratio0.941.021.030.09 short
Match win rate46.2%44.7%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpaulFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,767 · Purple 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

Aim72
Positioning56
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateWLWLWLWWWL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −2.8pp headshot accuracy · +2ms reaction

Win rate 0pp 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 -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 556ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 591ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 590ms

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 (+2.1 against its own average).

Aim7.2
Utility6.4
Positioning5.6
Opening Duels1.7
Clutch3.6

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

iM

Plays most like iM 80% 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

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 590ms 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

Aim7.2
Positioning5.6
Utility6.4
Mechanics7.7
Opening Duels4.7
Win Impact7.9

Composite 6.7/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time577ms−11ms
first ⅓ avg 587ms → last ⅓ avg 577ms
Headshot accuracy22.5%+1.1%
first ⅓ avg 21.4% → last ⅓ avg 22.5%

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 · 12–12 · office, 27 Oct →
43%Best headshot accuracy · 9–13 · office, 17 Oct →
406msFastest reaction time · 13–10 · nuke, 10 Oct →
13–1Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
13–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 89% over 9ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2616–1062%0.00
mirageB199–1047%-0.02
infernoB136–746%-0.00
nukeB105–550%-0.03
cacheA106–460%0.00
anubisS98–189%0.02
ancientD93–633%-0.03
office—42–250%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,760Lifetime kills
0.94K/D
1,378Matches
46.2%Match win rate · Top 50% of Level 5 players
55.8%Headshot % · Top 10% of Level 5 players
1.4%Shot accuracy
2,570MVPs
546Hours (in match)
1,446Bombs planted
307Bombs defused

Most-used weapons

Lifetime map wins

4,164dust2
1,802inferno
801nuke
389office
116train
23vertigo
14safehouse
11ar_shoots

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

Faceit stats

Combat

161Matches
50%Win rate
1.01Avg K/D
79.5ADR
57%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4536%0.9514.3
Dust23754%1.0014.5
Anubis2759%1.1415.2
Inferno2446%0.9914.5
Cache1060%0.9715.4
Ancient967%1.0015.4
Nuke862%1.0315.3
Vertigo10%1.0018.0

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.

23.0%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.2%Spray accuracy
84.6%Counter-strafing
10.2°Preaim
590msReaction time
66.3%T opening success
31.5%CT opening success
0.60Enemies flashed / flash
11.0%Flash assists
9.04HE damage / grenade
12.72Flashes / 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 31.4695% — 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.

33% 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
nuke13–90.0521%3 Nov →
inferno6–13-0.0532%3 Nov →
anubis13–100.0217%2 Nov →
ancient10–13-0.080%2 Nov →
mirage16–14-0.0126%1 Nov →
ancient11–13-0.0216%31 Oct →
dust213–7-0.0532%30 Oct →
cache13–40.0215%30 Oct →
anubis13–10-0.0215%29 Oct →
ancient10–13-0.0219%28 Oct →
dust213–100.0210%28 Oct →
office12–120.1039%27 Oct →
inferno13–110.0215%27 Oct →
dust213–60.0322%27 Oct →
mirage3–13-0.094%26 Oct →
nuke13–70.0325%26 Oct →
mirage13–100.0322%26 Oct →
ancient5–13-0.0220%26 Oct →
ancient6–13-0.0525%25 Oct →
inferno13–90.0340%25 Oct →
office13–80.0422%24 Oct →
mirage13–20.0129%24 Oct →
mirage13–90.0113%23 Oct →
ancient6–13-0.0713%23 Oct →
cache13–60.0726%22 Oct →
cache8–13-0.0136%21 Oct →
dust216–140.0726%21 Oct →
dust29–13-0.0028%20 Oct →
dust29–130.0331%20 Oct →
nuke7–13-0.0529%20 Oct →
nuke8–13-0.0625%19 Oct →
dust213–2-0.0125%19 Oct →
office13–5-0.0025%18 Oct →
office9–13-0.0743%17 Oct →
dust21–13-0.0115%17 Oct →
cache5–13-0.0319%17 Oct →
cache13–30.1020%17 Oct →
dust25–130.0033%17 Oct →
mirage16–140.0420%16 Oct →
cache13–110.0231%16 Oct →
dust213–3-0.0214%16 Oct →
dust213–10.0714%16 Oct →
mirage5–13-0.0330%15 Oct →
inferno11–13-0.0412%14 Oct →
inferno15–150.0224%13 Oct →
mirage0–3-0.060%13 Oct →
anubis13–80.0315%13 Oct →
inferno8–13-0.024%11 Oct →
nuke13–10-0.0238%10 Oct →
anubis13–9-0.0022%9 Oct →
anubis13–60.0818%7 Oct →
dust213–9-0.0121%6 Oct →
ancient13–8-0.0224%6 Oct →
ancient13–30.0016%4 Oct →
nuke10–13-0.0415%4 Oct →
inferno13–4-0.0420%3 Oct →
nuke13–5-0.0126%3 Oct →
mirage7–13-0.0533%3 Oct →
dust213–70.0729%2 Oct →
cache7–13-0.0315%30 Sept →
mirage9–13-0.104%30 Sept →
nuke10–13-0.0723%29 Sept →
nuke10–13-0.0638%25 Sept →
dust213–9-0.0029%25 Sept →
dust213–110.0123%24 Sept →
nuke13–11-0.0420%23 Sept →
mirage11–13-0.0114%22 Sept →
dust26–13-0.0229%15 Sept →
cache2–13-0.0929%15 Sept →
mirage13–70.0019%14 Sept →
mirage10–13-0.0112%10 Sept →
cache13–8-0.0130%7 Sept →
inferno13–80.0025%7 Sept →
dust213–7-0.0816%6 Sept →
mirage11–13-0.0316%5 Sept →
dust213–110.1018%5 Sept →
mirage13–40.0040%4 Sept →
cache13–11-0.0221%3 Sept →
mirage8–13-0.0824%2 Sept →
anubis13–7-0.0623%1 Sept →
mirage13–90.0121%1 Sept →
inferno7–130.0213%31 Aug →
dust25–13-0.0515%30 Aug →
inferno13–16-0.0020%30 Aug →
ancient19–170.0215%29 Aug →
dust219–17-0.0027%28 Aug →
dust211–13-0.0819%27 Aug →
anubis14–160.0321%26 Aug →
dust211–130.0537%24 Aug →
dust213–60.0026%23 Aug →
mirage16–14-0.0512%23 Aug →
dust28–13-0.0422%22 Aug →
inferno13–9-0.0121%22 Aug →
mirage11–13-0.0428%19 Aug →
anubis13–110.0117%17 Aug →
inferno13–160.0125%17 Aug →
dust213–100.0019%16 Aug →
anubis13–70.1017%16 Aug →
inferno13–80.0014%16 Aug →
dust27–13-0.0317%14 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 →

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