Big Fat Paulie — CS2 Stats

76561198357313105[U:1:397047377]

429Tracked matches31%Win rate2021Tracked since
793Hours in CS2Hrs last 2 wks
CSDB Rating2.5 Learning
Premier CS Rating5,571Light Blue band · top ~76.1% of ranked players (population est.)
CSDB Leaderboard#35842 of 47129 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate36.3%39.7%41.4%5.1% short
Shot accuracy9.3%6.7%9.0%above
Kill/death ratio0.890.910.970.08 short
Match win rate37.0%42.1%43.7%6.7% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGBig Fat PauliePREMIER5,571 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning29
Utility42

0–100 skill scores via Leetify.

Recent form

COLD31645Last 10031%Win rateWLLLLLLLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim4.1
Aggression3.2
Utility4.2
Positioning2.9
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 68% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning2.9
Utility4.2
Mechanics2.2
Opening Duels0.5
Win Impact0.0

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time640ms−7ms
first ⅓ avg 646ms → last ⅓ avg 640ms
Headshot accuracy15.2%−0.6%
first ⅓ avg 15.7% → last ⅓ avg 15.2%

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.

Highlights

0.09Best rating — inferno 8–13
132Biggest win — vertigo
3Longest win streak
68In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 58% over 12ancientWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
mirageD1821611%-0.04
nukeB179853%-0.03
cacheD1551033%-0.03
dust2A127558%-0.04
ancientD9090%-0.03
anubisC83538%-0.03
overpassD71614%0.00
infernoD62433%0.01
officeD51420%-0.05
vertigo21150%0.04
alpine1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,441Lifetime kills
0.89K/D
1,132Matches
37.0%Match win rate
36.3%Headshot %
9.3%Shot accuracy · Top 50% of Light Blue band
1,791MVPs
431Hours (in match)
1,008Bombs planted
182Bombs defused

Most-used weapons

Lifetime map wins

2,037nuke
1,335dust2
839inferno
818vertigo
93office
21train
20ar_baggage
16italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.0%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.8%Spray accuracy
60.0%Counter-strafing
10.5°Preaim
645msReaction time
23.4%T opening success
33.8%CT opening success
0.68Enemies flashed / flash
0.4%Flash assists
11.87HE damage / grenade
5.19Flashes / 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 23.4317% — 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.

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–4-0.027%24 Aug
dust28–13-0.055%23 Aug
mirage3–13-0.0224%23 Aug
anubis1–13-0.0113%16 Aug
mirage4–13-0.1020%10 Aug
anubis10–13-0.0510%7 Aug
ancient5–13-0.0336%7 Aug
mirage14–16-0.0821%6 Aug
cache6–13-0.0322%6 Aug
ancient4–13-0.087%5 Aug
nuke13–5-0.104%2 Aug
dust28–13-0.0620%2 Aug
cache13–7-0.0016%2 Aug
anubis8–13-0.0513%2 Aug
ancient6–13-0.1011%2 Aug
anubis9–13-0.0717%2 Aug
inferno10–13-0.0531%1 Aug
nuke13–10-0.0415%1 Aug
mirage5–13-0.0717%1 Aug
mirage8–13-0.0212%26 Jul
cache5–130.0121%26 Jul
dust213–3-0.062%26 Jul
dust212–16-0.0410%21 Jul
nuke16–14-0.0618%15 Jul
cache13–8-0.0012%15 Jul
mirage13–5-0.0414%15 Jul
cache12–16-0.0412%15 Jul
mirage6–13-0.1214%15 Jul
nuke13–70.0114%14 Jul
cache15–15-0.0413%14 Jul
ancient7–13-0.0527%13 Jul
nuke7–130.029%13 Jul
nuke15–15-0.0616%12 Jul
mirage4–13-0.0519%12 Jul
cache11–13-0.0616%9 Jul
nuke13–5-0.0117%9 Jul
nuke4–130.0319%9 Jul
dust213–70.0518%9 Jul
alpine10–13-0.0417%8 Jul
office13–10-0.055%7 Jul
cache13–7-0.0213%7 Jul
cache4–13-0.0613%7 Jul
overpass13–70.0626%6 Jul
mirage10–13-0.0024%6 Jul
nuke13–11-0.0611%5 Jul
overpass7–130.0410%4 Jul
nuke9–13-0.0317%4 Jul
inferno5–00.0613%3 Jul
mirage4–13-0.0810%2 Jul
dust213–10-0.0913%30 Jun
ancient9–13-0.0419%23 Jun
mirage15–15-0.089%20 Jun
mirage7–13-0.0717%20 Jun
nuke13–7-0.0813%20 Jun
overpass8–13-0.1022%17 Jun
mirage9–130.0236%14 Jun
anubis3–13-0.0817%14 Jun
dust216–140.0011%10 Jun
inferno12–120.0611%10 Jun
office9–13-0.0523%9 Jun
ancient11–13-0.0529%7 Jun
inferno11–13-0.0630%7 Jun
office5–13-0.0623%6 Jun
vertigo13–20.0915%6 Jun
ancient5–130.0433%28 May
anubis13–110.017%28 May
anubis13–11-0.0318%27 May
dust212–12-0.0022%26 May
inferno8–130.0929%25 May
dust213–6-0.0515%25 May
nuke13–7-0.069%22 May
dust213–6-0.0719%10 May
ancient5–13-0.0614%10 May
nuke13–100.0324%10 May
office10–13-0.050%9 May
overpass11–130.0127%8 May
vertigo6–13-0.0222%7 May
cache4–13-0.0819%7 May
nuke9–13-0.028%6 May
cache13–80.0115%6 May
ancient11–130.0522%5 May
cache4–13-0.046%4 May
overpass8–13-0.0516%1 May
cache6–13-0.0116%1 May
cache13–11-0.0210%29 Apr
cache1–13-0.0418%29 Apr
overpass14–160.0019%26 Apr
nuke1–13-0.0418%19 Apr
mirage9–1-0.076%19 Apr
nuke8–13-0.0717%13 Apr
office5–13-0.030%12 Apr
overpass8–130.0517%12 Apr
mirage9–130.0011%8 Apr
nuke9–13-0.0612%8 Apr
dust28–13-0.0923%6 Apr
anubis13–50.0622%4 Apr
mirage10–13-0.0913%4 Apr
inferno13–10-0.0316%3 Apr
mirage10–130.0324%2 Apr
mirage11–130.0410%31 Mar

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 →