pho

pho — CS2 Stats

US76561197989102838[U:1:28837110]Steam profile ↗✓ No bans

800Tracked matches62%Win rate2020Tracked since
2,971Hours in CS
CSDB Rating6.8 SolidSupport
CSDB Leaderboard#96590 of 251385 tracked
WingmanGold Nova II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,908 -674 21 May – 26 Jun · 4 days played
18,46519,582peak 19,58221 May26 Jun
19,582Peak Premier in tracked matches
55Days played since 2025-12-18

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches32——
Win rate72%——
K/D0.98——
Headshot %60%——

Measured 9 Sep 2026 → 13 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.

Performance scores

Aim86
Positioning47
Utility55

0–100 skill scores via Leetify.

Recent form

HOT57–37–6Last 10057%Win rateLWWWWLLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.7pp headshot accuracy · −20ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 499ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 513ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 524ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim8.6
Utility5.5
Positioning4.7
Opening Duels3.0
Clutch2.6

Sharp aimer

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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

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

Aim8.6
Positioning4.7
Utility5.5
Mechanics8.1
Opening Duels3.5
Win Impact9.0

Composite 6.8/10 (Solid), 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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time533ms−85ms
first ⅓ avg 618ms → last ⅓ avg 533ms
Headshot accuracy24.1%+1.6%
first ⅓ avg 22.6% → last ⅓ avg 24.1%

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

0.07Best match rating · 13–3 · anubis, 26 Jan →
44%Best headshot accuracy · 5–13 · cache, 27 Jun →
383msFastest reaction time · 13–5 · nuke, 17 Mar →
13–0Biggest win · ancient, 15 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 75% over 8ancientWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
infernoS2115–671%-0.02
ancientC177–1041%-0.02
anubisB157–847%-0.05
cacheA148–657%-0.03
nukeS86–275%-0.04
mirageA85–363%0.00
overpassC73–443%-0.02
dust2—42–250%-0.03
train—31–233%-0.05
vertigo—22–0100%-0.01
sanctum—11–0100%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,826Lifetime kills
0.98K/D
5,614Matches
46.9%Match win rate · Top 50% of tracked players
52.2%Headshot % · Top 25% of tracked players
16.5%Shot accuracy · Top 25% of tracked players
17,779MVPs
2,971Hours (in match)
9,269Bombs planted
2,516Bombs defused

Most-used weapons

AK-4756,487
AWP9,679
P2504,955
MP92,536
Knife2,213
MAC-102,088

Lifetime map wins

16,518dust2
13,777inferno
3,397train
3,169nuke
1,125vertigo
504cbble
106office
86dust

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

Faceit stats

Combat

592Matches
49%Win rate
1.03Avg K/D
65.9ADR
51%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno714%0.7814.1
Ancient30%0.7613.0
Mirage10%0.5012.0
Overpass1100%0.408.0
Anubis1100%0.8713.0

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.

23.6%Headshot accuracy
35.6%Accuracy (enemy spotted)
39.4%Spray accuracy
86.3%Counter-strafing
9.4°Preaim
536msReaction time
43.4%T opening success
44.8%CT opening success
0.56Enemies flashed / flash
6.1%Flash assists
9.70HE damage / grenade
10.04Flashes / match

Recommended for you

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.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass8–13-0.0120%13 Oct →
nuke13–40.0118%13 Oct →
cache13–8-0.0118%13 Oct →
anubis13–6-0.0519%10 Oct →
inferno13–30.0529%10 Oct →
dust21–13-0.0419%10 Oct →
train4–13-0.0537%10 Oct →
ancient13–100.0425%8 Oct →
cache13–6-0.0028%6 Oct →
inferno13–9-0.0142%6 Oct →
dust211–13-0.0637%3 Oct →
inferno6–13-0.0123%3 Oct →
mirage13–7-0.0120%3 Oct →
anubis13–8-0.0114%1 Oct →
mirage13–8-0.0429%30 Sept →
inferno15–15-0.0617%23 Sept →
anubis13–9-0.0617%18 Sept →
nuke13–2-0.0322%18 Sept →
mirage13–70.0224%16 Sept →
anubis1–8-0.0233%16 Sept →
ancient4–130.0015%5 Sept →
overpass13–6-0.0417%5 Sept →
cache5–13-0.0528%5 Sept →
cache13–8-0.0221%18 Aug →
ancient13–11-0.0227%14 Aug →
ancient4–13-0.0318%6 Aug →
anubis7–13-0.1024%6 Aug →
nuke13–10-0.0326%3 Aug →
inferno13–11-0.0222%3 Aug →
ancient2–13-0.0920%2 Aug →
inferno7–130.0135%2 Aug →
inferno13–11-0.0230%2 Aug →
ancient8–13-0.0523%1 Aug →
inferno13–9-0.0429%1 Aug →
anubis13–5-0.0518%1 Aug →
ancient13–9-0.0333%31 Jul →
cache13–8-0.0528%31 Jul →
anubis12–16-0.0727%30 Jul →
inferno13–11-0.0121%30 Jul →
cache2–13-0.0623%21 Jul →
mirage13–10-0.0329%21 Jul →
mirage12–120.0125%29 Jun →
cache5–13-0.0344%27 Jun →
cache13–7-0.0425%26 Jun →
inferno13–7-0.0236%26 Jun →
overpass6–13-0.0619%24 Jun →
inferno13–50.0127%24 Jun →
ancient11–13-0.0711%18 Jun →
ancient9–130.0321%18 Jun →
inferno12–12-0.0818%4 Jun →
anubis8–13-0.1025%29 May →
inferno13–6-0.0326%23 May →
cache13–50.0427%23 May →
ancient13–10.0714%23 May →
train13–100.0017%23 May →
cache1–13-0.0221%21 May →
anubis13–11-0.0629%21 May →
ancient11–130.0235%20 May →
anubis8–13-0.0727%20 May →
vertigo13–50.0227%19 May →
ancient9–13-0.0224%12 May →
cache13–9-0.0324%6 May →
cache13–10-0.0222%6 May →
cache11–13-0.0528%29 Apr →
cache3–13-0.105%29 Apr →
overpass13–5-0.0224%23 Apr →
mirage7–130.0117%12 Apr →
ancient5–13-0.108%12 Apr →
overpass11–13-0.0126%10 Apr →
ancient13–110.0122%9 Apr →
inferno13–6-0.0326%8 Apr →
nuke11–13-0.0816%22 Mar →
inferno8–13-0.0214%22 Mar →
mirage12–12-0.0233%19 Mar →
ancient4–13-0.128%17 Mar →
nuke13–5-0.0711%17 Mar →
inferno13–11-0.0618%4 Mar →
inferno13–11-0.0427%3 Mar →
anubis16–14-0.0323%3 Mar →
anubis9–13-0.0530%21 Feb →
anubis9–13-0.0916%18 Feb →
nuke13–10-0.0538%18 Feb →
train2–13-0.0911%16 Feb →
dust213–90.0221%16 Feb →
inferno13–80.0027%15 Feb →
ancient13–00.0535%15 Feb →
inferno12–12-0.0329%4 Feb →
mirage13–50.0629%31 Jan →
ancient13–8-0.0424%31 Jan →
nuke7–130.0028%31 Jan →
dust213–3-0.0437%31 Jan →
inferno13–7-0.0114%26 Jan →
nuke13–5-0.0515%26 Jan →
anubis13–30.0732%26 Jan →
sanctum9–6-0.0719%25 Jan →
overpass13–10-0.0417%21 Jan →
anubis7–13-0.0627%21 Jan →
vertigo13–4-0.0520%20 Dec →
inferno13–00.0119%20 Dec →
overpass12–120.0024%18 Dec →

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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