Poli2009

Poli2009 — CS2 Stats

DE76561198022334868[U:1:62069140]Steam profile ↗✓ No bans

3,484Tracked matches38%Win rate2023Tracked since
3,095Hours in CS2Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating4,117Grey band · top ~82.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (9 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: 4,117 -250 14 Aug – 23 Oct · 22 days played
4,1176,617peak 6,61714 Aug23 Oct
6,998Peak Premier in tracked matches
23Days played since 2026-08-14

Premier CS Rating

  • 2,500 below peak (6,617)
  • -690 over 30 days · declining
  • Next: Light Blue band at 5,000 — 883 to go
  • Reached: Light Blue band

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate40.3%42.7%43.8%3.4% short
Shot accuracy2.2%11.2%12.0%9.8% short
Kill/death ratio0.940.991.020.08 short
Match win rate26.9%43.9%44.7%17.8% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPoli2009FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER4,117 · Grey 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

Aim56
Positioning56
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateWLWWLLWTWL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +1.2pp headshot accuracy · +20ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 645ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 624ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 615ms

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 (+2.1 against its own average).

Aim5.6
Utility4.1
Positioning5.6
Opening Duels4.3
Clutch0.0

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

m0NESY

Plays most like m0NESY 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 601ms 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

Aim5.6
Positioning5.6
Utility4.1
Mechanics5.0
Opening Duels4.1
Win Impact1.0

Composite 4.2/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time595ms−65ms
first ⅓ avg 660ms → last ⅓ avg 595ms
Headshot accuracy15.2%−1.1%
first ⅓ avg 16.2% → 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.

Personal bests

0.18Best match rating · 13–2 · inferno, 30 Aug →
41%Best headshot accuracy · 9–7 · poseidon, 29 Aug →
430msFastest reaction time · 4–9 · poseidon, 11 Sept →
13–2Biggest win · inferno, 30 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 69% over 16mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
poseidonC2610–1638%0.00
infernoC177–1041%0.03
anubisS1611–569%0.01
dust2D123–925%0.01
ancientC94–544%-0.03
cacheD82–625%0.00
mirageD61–517%-0.02
nukeC52–340%-0.00
fachwerk—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,413Lifetime kills
0.94K/D
6,138Matches
26.9%Match win rate
40.3%Headshot %
2.2%Shot accuracy
7,502MVPs
1,604Hours (in match)
4,234Bombs planted
812Bombs defused

Most-used weapons

AK-4723,563
AWP12,931
SSG 084,062
MP73,269
FAMAS2,944

Lifetime map wins

7,028inferno
3,732nuke
3,220dust2
2,030vertigo
580train
287ar_shoots
151ar_baggage
106office

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

Faceit stats

Combat

4Matches
50%Win rate
0.63Avg K/D
62.4ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.386.0
Overpass10%0.142.0
Mirage1100%1.3316.0
Train1100%0.676.0

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.

13.4%Headshot accuracy
32.7%Accuracy (enemy spotted)
33.7%Spray accuracy
72.6%Counter-strafing
8.5°Preaim
601msReaction time
43.8%T opening success
48.8%CT opening success
0.57Enemies flashed / flash
3.5%Flash assists
10.35HE damage / grenade
2.14Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.3991% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.1386 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–8-0.036%23 Oct →
poseidon7–90.0730%23 Oct →
poseidon9–60.0033%23 Oct →
anubis13–3-0.0211%23 Oct →
cache9–130.0215%2 Oct →
inferno11–130.0012%12 Sept →
dust213–110.0017%12 Sept →
inferno15–150.016%12 Sept →
cache13–50.0422%12 Sept →
poseidon7–9-0.1114%12 Sept →
poseidon3–9-0.1413%12 Sept →
poseidon9–70.067%12 Sept →
poseidon4–9-0.0625%11 Sept →
anubis10–13-0.0111%11 Sept →
cache8–13-0.0530%11 Sept →
mirage11–13-0.0414%11 Sept →
dust26–130.068%5 Sept →
nuke13–110.1514%5 Sept →
anubis12–160.0415%5 Sept →
inferno4–13-0.0417%5 Sept →
ancient10–13-0.1016%4 Sept →
nuke2–13-0.0914%2 Sept →
fachwerk13–100.0318%2 Sept →
ancient6–130.004%1 Sept →
mirage10–13-0.038%1 Sept →
cache13–160.0710%1 Sept →
poseidon5–9-0.1529%1 Sept →
anubis13–110.0413%1 Sept →
mirage4–13-0.057%31 Aug →
ancient9–13-0.0521%31 Aug →
dust29–13-0.1013%31 Aug →
inferno8–130.0419%31 Aug →
inferno13–60.0410%31 Aug →
dust24–13-0.0314%30 Aug →
mirage13–50.0426%30 Aug →
dust213–110.026%30 Aug →
inferno13–20.1810%30 Aug →
dust215–15-0.0515%30 Aug →
poseidon8–80.0921%29 Aug →
poseidon9–60.098%29 Aug →
poseidon9–40.1422%29 Aug →
poseidon9–70.0841%29 Aug →
ancient3–13-0.0623%29 Aug →
anubis13–80.0015%29 Aug →
inferno9–130.0316%29 Aug →
anubis13–90.0412%29 Aug →
poseidon5–9-0.0913%28 Aug →
dust28–130.0514%28 Aug →
cache13–100.0511%28 Aug →
nuke5–13-0.0421%26 Aug →
anubis13–100.0411%26 Aug →
ancient13–100.0111%26 Aug →
inferno13–7-0.0322%26 Aug →
dust213–30.1213%26 Aug →
inferno15–15-0.0212%26 Aug →
ancient13–5-0.0417%26 Aug →
anubis13–100.0815%26 Aug →
anubis13–100.0316%24 Aug →
inferno13–80.1316%24 Aug →
inferno7–13-0.0214%24 Aug →
inferno13–80.1217%24 Aug →
cache6–13-0.0014%24 Aug →
nuke13–110.0313%23 Aug →
ancient5–13-0.0418%23 Aug →
dust28–130.0223%23 Aug →
inferno6–13-0.047%22 Aug →
anubis11–13-0.0521%22 Aug →
anubis13–100.0413%22 Aug →
ancient13–20.014%22 Aug →
poseidon2–9-0.156%22 Aug →
poseidon2–9-0.0817%22 Aug →
poseidon7–90.0816%22 Aug →
poseidon9–50.0512%22 Aug →
inferno8–13-0.0217%21 Aug →
nuke10–13-0.0621%21 Aug →
ancient13–30.005%21 Aug →
anubis13–110.0421%21 Aug →
cache3–13-0.0525%20 Aug →
anubis6–13-0.0811%20 Aug →
dust24–130.0820%20 Aug →
inferno13–90.1017%19 Aug →
anubis13–110.0119%19 Aug →
mirage7–13-0.0115%18 Aug →
poseidon9–60.0518%16 Aug →
poseidon9–40.1329%16 Aug →
poseidon8–8-0.0422%16 Aug →
poseidon6–90.0122%16 Aug →
poseidon6–9-0.0615%16 Aug →
inferno13–80.0710%15 Aug →
cache15–15-0.0413%15 Aug →
dust26–13-0.0013%15 Aug →
mirage12–16-0.0410%14 Aug →
inferno6–13-0.027%14 Aug →
dust28–130.0115%14 Aug →
anubis8–13-0.029%14 Aug →
poseidon9–50.1125%14 Aug →
poseidon9–40.0830%14 Aug →
poseidon7–90.0329%14 Aug →
poseidon5–9-0.0813%14 Aug →
poseidon6–9-0.0119%14 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.