Creezer

Creezer — CS2 Stats

GB76561199435047224[U:1:1474781496]Steam profile ↗✓ No bans

2,323Tracked matches47%Win rate2023Tracked since
2,153Hours in CS11Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 2,323
0.0ppWin rate · 46.7% → 46.7%

Rating over time

Premier CS Rating: 22,706 -634 26 May – 2 Jul · 10 days played
22,70624,383peak 24,38326 May2 Jul
24,383Peak Premier in tracked matches
1,695Highest Faceit ELO seen on CSDB
37Days played since 2026-05-25

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches10——
Win rate50%——
K/D1.58——
Headshot %48%——

Measured 3 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGCreezerPEAK ELO1,695csdb.gg/stats

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Performance scores

Aim68
Positioning52
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateWLWLWLLWWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −2.3pp headshot accuracy · +45ms 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 0.07
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 572ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

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 (+1.9 against its own average).

Aim6.8
Utility3.2
Positioning5.2
Opening Duels2.4
Clutch2.4

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

iM

Plays most like iM 92% 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

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

T-side openings. Opening success drops from 46% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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
Positioning5.2
Utility3.2
Mechanics5.0
Opening Duels2.0
Win Impact3.9

Composite 4.9/10 (Developing), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time540ms−47ms
first ⅓ avg 587ms → last ⅓ avg 540ms
Headshot accuracy15.1%−3.3%
first ⅓ avg 18.4% → last ⅓ avg 15.1%

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

0.22Best match rating · 9–0 · poseidon, 27 Sept →
67%Best headshot accuracy · 3–2 · dust2, 10 Jun →
359msFastest reaction time · 16–12 · ancient, 31 May →
13–1Biggest win · dust2, 25 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 65% over 17dust2Weakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
ancientS1711–665%0.03
dust2C146–843%-0.01
vertigoB115–645%0.05
cacheA116–555%0.03
mirageB105–550%0.01
nukeB84–450%0.01
infernoB63–350%0.02
office—42–250%0.03
train—44–0100%0.03
poseidon—32–167%0.03
overpass—32–167%0.03
anubis—20–20%-0.02
fachwerk—10–10%0.05
shelter—10–10%-0.01
eldorado—10–10%-0.03
debris—11–0100%0.16
boulder—10–10%-0.02
warden—11–0100%0.04
italy—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,312Lifetime kills
1.16K/D · Top 25% of tracked players
2,905Matches
48.1%Match win rate · Top 50% of tracked players
44.9%Headshot % · Top 50% of tracked players
4.7%Shot accuracy
6,386MVPs
1,090Hours (in match)
3,681Bombs planted
694Bombs defused

Most-used weapons

Lifetime map wins

6,047dust2
3,418inferno
3,036nuke
1,670vertigo
1,524train
166cbble
157lake
115office

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

Faceit stats

Combat

499Matches
51%Win rate
1.06Avg K/D
79.6ADR
37%Headshot %

Clutches & streaks

32%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10252%1.0215.3
Dust28754%1.0415.3
Nuke7659%1.0815.4
Inferno6344%1.1215.9
Ancient5040%1.0316.4
Anubis3043%1.0416.4
Train2752%1.1617.0
Vertigo1050%1.3018.8

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.

16.0%Headshot accuracy
34.8%Accuracy (enemy spotted)
39.3%Spray accuracy
72.4%Counter-strafing
9.2°Preaim
555msReaction time
23.9%T opening success
45.9%CT opening success
0.41Enemies flashed / flash
4.1%Flash assists
10.79HE damage / grenade
1.65Flashes / 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 0.413 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 23.9403% — 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.

43% win rate across 14 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
poseidon9–00.2222%27 Sept →
ancient9–130.0319%25 Sept →
dust213–11-0.0211%28 Aug →
office9–130.0210%28 Aug →
overpass13–20.1113%23 Aug →
inferno4–13-0.1229%23 Aug →
dust21–8-0.100%14 Aug →
nuke13–100.0111%10 Aug →
ancient13–80.0311%9 Aug →
fachwerk11–130.0513%2 Aug →
ancient13–7-0.0311%26 Jul →
vertigo9–30.1017%25 Jul →
shelter5–13-0.0113%25 Jul →
dust213–1-0.0213%25 Jul →
vertigo13–80.0420%22 Jul →
eldorado7–9-0.0316%19 Jul →
mirage9–13-0.0218%19 Jul →
debris9–30.1624%19 Jul →
cache3–13-0.0215%17 Jul →
ancient5–130.0517%17 Jul →
dust20–4-0.050%17 Jul →
nuke0–10-0.047%17 Jul →
dust213–90.0620%17 Jul →
cache13–100.0824%12 Jul →
ancient13–60.0117%12 Jul →
mirage13–70.0920%12 Jul →
boulder9–13-0.0217%11 Jul →
vertigo9–50.179%5 Jul →
ancient3–100.069%4 Jul →
cache7–130.0629%2 Jul →
vertigo1–60.0413%2 Jul →
train13–80.0314%2 Jul →
inferno13–70.0418%2 Jul →
mirage7–130.0324%2 Jul →
ancient13–60.0013%28 Jun →
dust210–130.0118%28 Jun →
train13–90.0915%28 Jun →
office12–120.0723%28 Jun →
overpass13–20.0411%28 Jun →
vertigo9–30.138%28 Jun →
nuke13–80.0415%27 Jun →
mirage13–50.0220%27 Jun →
cache13–4-0.009%27 Jun →
train13–9-0.0112%27 Jun →
nuke9–130.0527%24 Jun →
mirage13–80.0313%24 Jun →
anubis8–130.017%22 Jun →
ancient7–13-0.044%21 Jun →
dust26–13-0.0413%21 Jun →
cache12–12-0.0318%21 Jun →
ancient12–120.1215%21 Jun →
overpass7–13-0.0517%21 Jun →
nuke7–13-0.0218%21 Jun →
office13–9-0.0119%19 Jun →
dust26–13-0.0114%19 Jun →
ancient13–80.0519%19 Jun →
warden13–110.0423%18 Jun →
italy12–12-0.0216%16 Jun →
inferno7–130.038%14 Jun →
vertigo6–130.0215%14 Jun →
cache9–00.0713%14 Jun →
cache13–30.0924%14 Jun →
ancient13–90.046%14 Jun →
mirage13–8-0.0113%14 Jun →
nuke13–110.0914%13 Jun →
dust22–8-0.0313%13 Jun →
dust213–40.0521%13 Jun →
cache13–40.0512%13 Jun →
mirage8–130.0926%13 Jun →
ancient13–40.0613%11 Jun →
office13–50.0529%11 Jun →
vertigo4–60.0417%10 Jun →
dust23–20.0767%10 Jun →
ancient13–20.1025%10 Jun →
cache4–13-0.0312%10 Jun →
nuke11–13-0.0414%5 Jun →
anubis5–13-0.0511%5 Jun →
cache13–60.0114%3 Jun →
ancient13–90.0214%31 May →
ancient16–12-0.0410%31 May →
dust216–13-0.0110%31 May →
vertigo7–90.0228%31 May →
inferno13–110.1320%29 May →
inferno13–50.0326%29 May →
ancient16–120.017%29 May →
vertigo8–8-0.028%29 May →
inferno9–130.0018%29 May →
vertigo2–9-0.0532%29 May →
ancient10–130.0213%29 May →
vertigo9–10.0625%29 May →
mirage6–13-0.0417%29 May →
mirage13–11-0.0511%29 May →
dust28–13-0.0415%29 May →
nuke13–40.0026%29 May →
mirage7–13-0.0714%27 May →
poseidon9–2-0.046%27 May →
dust213–100.018%26 May →
train13–50.0120%26 May →
poseidon6–9-0.0919%25 May →
cache7–130.0218%25 May →

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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