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PUBEZZ<3

PUBEZZ<3 — CS2 Stats

NI76561199223936533[U:1:1263670805]Steam profile ↗✓ No bans

1,694Tracked matches50%Win rate2021Tracked since
1,048Hours in CS
CSDB Rating5.4 DevelopingClutch Specialist
Premier CS Rating12,469Blue band · top ~41.8% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGPUBEZZ<3FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER12,469 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning61
Utility18

0–100 skill scores via Leetify.

Recent form

COLD48–46–6Last 10048%Win rateLWWWLLLLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.3pp headshot accuracy · −74ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 575ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 593ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.6 against its own average).

Aim6.8
Utility1.8
Positioning6.1
Opening Duels6.0
Clutch9.4

Limited utility dependenceReliable in 1v1s

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

s1mple

Plays most like s1mple 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 634ms 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

Aim6.8
Positioning6.1
Utility1.8
Mechanics7.7
Opening Duels5.4
Win Impact5.0

Composite 5.4/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time622ms−33ms
first ⅓ avg 655ms → last ⅓ avg 622ms
Headshot accuracy20.7%−0.3%
first ⅓ avg 21.0% → last ⅓ avg 20.7%

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

0.32Best match rating · 8–8 · debris, 10 Aug →
41%Best headshot accuracy · 13–10 · nuke, 14 Jul →
438msFastest reaction time · 13–5 · mirage, 27 Jul →
13–0Biggest win · mirage, 14 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA2516–964%0.01
dust2C187–1139%0.01
cacheA1610–663%0.01
infernoD154–1127%-0.02
nukeS96–367%0.04
ancientC73–443%-0.01
anubisD72–529%0.03
debris—10–10%0.32
vertigo—10–10%0.10
eldorado—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,125Lifetime kills
1.14K/D
2,841Matches
45.7%Match win rate
51.8%Headshot %
9.9%Shot accuracy
6,219MVPs
1,048Hours (in match)
3,297Bombs planted
811Bombs defused

Most-used weapons

AK-4720,661
M4A4 / M4A1-S6,894
AWP6,634
P2000 / USP-S2,663
Desert Eagle2,102
Glock-181,888
Galil AR947
MAC-10640
FAMAS563
Knife559

Lifetime map wins

3,784dust2
3,418inferno
3,040nuke
1,481vertigo
420office
354train
248lake
39cbble

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

Faceit stats

Combat

80Matches
48%Win rate
0.95Avg K/D
68.1ADR
34%Headshot %

Clutches & streaks

67%1v1 clutch win
100%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2241%0.9213.6
Vertigo2055%1.0315.9
Nuke1060%1.0014.6
Anubis944%0.7510.7
Inferno850%1.0315.5
Overpass633%0.9212.0
Ancient333%0.7611.7
Train1100%1.2918.0

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.

21.6%Headshot accuracy
34.6%Accuracy (enemy spotted)
35.8%Spray accuracy
84.7%Counter-strafing
11.3°Preaim
634msReaction time
46.7%T opening success
56.6%CT opening success
0.30Enemies flashed / flash
5.1%Flash assists
7.50HE damage / grenade
1.19Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2951 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0329%31 Oct →
cache13–90.0322%31 Oct →
inferno13–60.0118%31 Oct →
mirage13–8-0.0426%15 Oct →
ancient8–13-0.0414%11 Oct →
cache6–130.0123%11 Oct →
anubis9–130.0226%11 Oct →
dust21–90.000%14 Sept →
inferno9–13-0.0429%12 Sept →
ancient11–13-0.0618%12 Sept →
mirage13–90.0539%12 Sept →
mirage15–15-0.0417%7 Sept →
dust213–7-0.0113%7 Sept →
mirage13–80.0013%4 Sept →
mirage13–110.0121%3 Sept →
inferno13–90.0324%3 Sept →
anubis9–130.0520%3 Sept →
ancient13–40.0522%3 Sept →
dust27–13-0.0424%2 Sept →
dust214–16-0.0415%2 Sept →
dust211–13-0.0220%2 Sept →
nuke13–16-0.0623%2 Sept →
cache13–70.0728%2 Sept →
dust215–150.0718%2 Sept →
inferno15–15-0.0119%26 Aug →
mirage13–70.0632%26 Aug →
cache13–110.0317%26 Aug →
anubis15–150.0514%26 Aug →
mirage13–80.0117%25 Aug →
dust28–13-0.0037%25 Aug →
mirage8–130.0718%25 Aug →
cache11–13-0.0112%24 Aug →
anubis13–60.0818%24 Aug →
inferno9–13-0.0019%23 Aug →
mirage1–13-0.116%21 Aug →
dust213–60.1313%21 Aug →
anubis11–130.0719%21 Aug →
debris8–80.3213%10 Aug →
inferno3–9-0.140%10 Aug →
vertigo7–90.1025%3 Aug →
inferno2–9-0.1223%3 Aug →
mirage13–50.0321%27 Jul →
dust213–40.0325%27 Jul →
mirage14–16-0.0312%26 Jul →
nuke13–80.0514%26 Jul →
mirage13–40.0723%26 Jul →
mirage13–70.0616%24 Jul →
ancient14–16-0.0625%23 Jul →
dust213–80.0518%23 Jul →
cache13–11-0.0312%23 Jul →
inferno3–130.0225%23 Jul →
mirage13–80.0533%22 Jul →
ancient13–40.0719%22 Jul →
mirage10–13-0.0337%22 Jul →
cache13–10.0526%22 Jul →
inferno16–130.0319%21 Jul →
nuke13–110.0014%21 Jul →
dust26–130.018%21 Jul →
inferno11–130.0330%20 Jul →
ancient13–50.0120%20 Jul →
mirage13–90.1120%20 Jul →
cache13–50.0318%20 Jul →
eldorado3–9-0.0914%19 Jul →
cache13–20.0527%19 Jul →
inferno13–90.0113%19 Jul →
anubis13–90.0414%19 Jul →
dust213–110.0420%19 Jul →
dust213–60.0817%19 Jul →
cache11–130.0824%19 Jul →
nuke13–30.0912%19 Jul →
mirage13–8-0.0021%18 Jul →
mirage10–130.0527%18 Jul →
dust28–13-0.0711%18 Jul →
mirage15–15-0.0120%16 Jul →
dust25–13-0.0617%15 Jul →
cache13–8-0.0624%15 Jul →
mirage6–13-0.0919%15 Jul →
cache13–16-0.0523%14 Jul →
mirage13–00.0317%14 Jul →
inferno5–13-0.0414%14 Jul →
nuke13–60.1010%14 Jul →
mirage13–11-0.0017%14 Jul →
nuke13–10-0.0041%14 Jul →
mirage13–10-0.0216%13 Jul →
cache13–90.0623%13 Jul →
cache7–13-0.0132%10 Jul →
ancient0–13-0.0336%10 Jul →
nuke11–130.0920%9 Jul →
inferno8–13-0.0314%9 Jul →
cache13–60.0218%9 Jul →
cache5–13-0.0434%9 Jul →
mirage2–13-0.0824%9 Jul →
inferno8–130.0317%2 Jul →
mirage13–50.0617%2 Jul →
dust27–13-0.0435%2 Jul →
inferno14–16-0.0420%1 Jul →
dust29–13-0.0420%1 Jul →
nuke13–70.0420%1 Jul →
anubis3–13-0.0817%1 Jul →
dust213–10.0716%1 Jul →

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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