They call me phoon

They call me phoon — CS2 Stats

76561198151775493[U:1:191509765]Steam profile ↗✓ No bans

648Tracked matches39%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 648
−3.6ppWin rate · 42.9% → 39.3%

Rating over time

Premier CS Rating: 15,836 -4,057 24 Oct – 23 Apr · 24 days played
15,15021,527peak 21,52724 Oct23 Apr
21,646Peak Premier in tracked matches
54Days played since 2025-10-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGThey call me phoonFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning60
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLWLLWLLWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +3.2pp headshot accuracy · −30ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 32%
  • Avg reaction 644ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 593ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 608ms

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 against its own average).

Aim7.5
Utility4.6
Positioning6.0
Opening Duels5.0
Clutch4.2

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 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 611ms 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

Aim7.5
Positioning6.0
Utility4.6
Mechanics5.1
Opening Duels3.8
Win Impact1.4

Composite 5.4/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time627ms−7ms
first ⅓ avg 634ms → last ⅓ avg 627ms
Headshot accuracy24.8%+0.6%
first ⅓ avg 24.1% → last ⅓ avg 24.8%

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

0.16Best match rating · 10–13 · dust2, 22 Apr →
71%Best headshot accuracy · 4–4 · nuke, 12 Apr →
375msFastest reaction time · 8–13 · overpass, 17 Mar →
13–2Biggest win · nuke, 18 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 71% over 7cacheWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB2613–1350%0.01
ancientB158–753%0.01
mirageB157–847%-0.01
dust2D111–109%-0.01
overpassC104–640%0.01
anubisS75–271%0.01
cacheD60–60%-0.00
train—32–167%-0.01
inferno—21–150%-0.01
vertigo—21–150%-0.06
alpine—11–0100%0.01
warden—11–0100%0.00
palacio—10–10%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

461Matches
52%Win rate
1.23Avg K/D
78.0ADR
47%Headshot %

Clutches & streaks

41%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke4764%1.4918.0
Ancient4055%1.2817.7
Inferno2133%1.0416.1
Anubis1839%0.9714.9
Vertigo1850%1.2018.2
Mirage1856%1.1416.5
Overpass1070%1.6419.8
Dust2650%0.8911.7

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.

22.9%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.3%Spray accuracy
72.8%Counter-strafing
8.4°Preaim
611msReaction time
43.7%T opening success
47.0%CT opening success
0.54Enemies flashed / flash
3.9%Flash assists
10.03HE damage / grenade
6.66Flashes / match

Recommended for you

Spend your practice time on Cache

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 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0024%30 Oct →
anubis13–40.0531%30 Oct →
train2–13-0.0067%27 Oct →
ancient8–13-0.0420%1 Oct →
inferno16–13-0.0618%30 Sept →
mirage8–13-0.0421%15 Sept →
ancient7–130.0020%15 Sept →
anubis13–80.0120%26 Aug →
mirage13–60.0130%26 Aug →
cache12–160.0420%19 Aug →
nuke9–13-0.0516%7 Aug →
train13–3-0.0519%6 Aug →
dust28–13-0.0140%5 Aug →
cache8–130.0021%3 Aug →
nuke13–60.0131%22 Jul →
mirage13–4-0.0524%22 Jul →
anubis9–130.0220%19 Jul →
cache10–130.0018%25 Jun →
cache8–13-0.0428%29 Apr →
cache12–12-0.0220%29 Apr →
alpine13–70.019%23 Apr →
nuke8–13-0.1012%23 Apr →
dust210–130.1623%22 Apr →
nuke7–13-0.0128%22 Apr →
ancient13–50.1019%22 Apr →
overpass13–50.0323%22 Apr →
nuke13–160.0214%22 Apr →
dust212–12-0.0319%14 Apr →
anubis16–13-0.0016%12 Apr →
nuke4–40.0571%12 Apr →
nuke13–100.0132%31 Mar →
overpass13–90.0213%23 Mar →
nuke10–130.0630%23 Mar →
nuke13–8-0.0111%21 Mar →
anubis10–13-0.0331%21 Mar →
overpass7–13-0.0515%19 Mar →
ancient13–30.0524%19 Mar →
mirage8–130.0225%19 Mar →
nuke9–13-0.0318%19 Mar →
overpass11–130.0314%19 Mar →
overpass13–80.0518%19 Mar →
mirage4–13-0.048%19 Mar →
nuke13–20.1223%18 Mar →
overpass8–130.0326%17 Mar →
ancient13–110.0122%17 Mar →
nuke13–50.0344%6 Mar →
nuke5–13-0.0229%6 Mar →
mirage7–130.0327%6 Mar →
ancient7–13-0.0318%4 Mar →
nuke13–70.0224%4 Mar →
vertigo13–10-0.0422%4 Mar →
ancient13–8-0.0414%1 Mar →
mirage13–90.0021%1 Mar →
dust27–13-0.0628%20 Feb →
anubis13–8-0.0314%20 Feb →
dust210–13-0.0322%20 Feb →
vertigo3–13-0.0821%17 Feb →
warden13–110.0013%17 Feb →
nuke13–80.019%17 Feb →
ancient9–13-0.0117%16 Feb →
nuke14–160.0021%16 Feb →
nuke13–70.0416%11 Feb →
overpass13–90.0326%6 Feb →
mirage13–5-0.0219%6 Feb →
dust210–13-0.0342%6 Feb →
dust211–13-0.0124%3 Feb →
ancient10–130.0424%3 Feb →
mirage12–16-0.0719%27 Jan →
dust29–13-0.0035%23 Jan →
anubis13–110.0634%23 Jan →
overpass10–13-0.0013%23 Jan →
ancient13–80.0131%22 Jan →
dust24–13-0.0515%22 Jan →
dust213–80.0443%21 Jan →
train13–100.0128%21 Jan →
palacio4–13-0.0229%21 Jan →
overpass11–13-0.0229%14 Jan →
nuke16–130.0616%14 Jan →
ancient6–130.0218%10 Jan →
overpass11–130.0110%9 Jan →
nuke13–50.0525%9 Jan →
dust213–16-0.0324%12 Dec →
mirage13–20.0326%12 Dec →
mirage16–140.0227%11 Dec →
ancient13–60.0215%11 Dec →
inferno11–130.0525%10 Dec →
ancient13–70.0727%4 Dec →
mirage2–11-0.0130%18 Nov →
nuke13–110.0818%17 Nov →
ancient12–16-0.0518%14 Nov →
nuke6–13-0.0132%13 Nov →
nuke6–13-0.0210%4 Nov →
mirage13–20.0834%4 Nov →
mirage12–16-0.0521%27 Oct →
nuke13–60.0720%27 Oct →
nuke13–40.0027%27 Oct →
nuke9–13-0.0118%26 Oct →
nuke10–130.0123%25 Oct →
ancient13–90.0222%25 Oct →
mirage10–13-0.0833%24 Oct →

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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