foz

foz — CS2 Stats

GB76561198138224002[U:1:177958274]Steam profile ↗✓ No bans

223Tracked matches43%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim78
Positioning43
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY44–56Last 10044%Win rateLLWLWWLWWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +5.8pp headshot accuracy · +92ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 697ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 30%
  • Avg reaction 673ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 627ms

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 (+1.3 against its own average).

Aim7.8
Utility2.8
Positioning4.3
Opening Duels2.1
Clutch3.0

Strong CT-side openerLimited 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

sh1ro

Plays most like sh1ro 95% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 35 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.

T-side openings. Opening success drops from 48% on CT to 5% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 627ms 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

Aim7.8
Positioning4.3
Utility2.8
Mechanics8.2
Opening Duels2.3
Win Impact2.8

Composite 5.1/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time628ms+15ms
first ⅓ avg 613ms → last ⅓ avg 628ms
Headshot accuracy26.3%+5.9%
first ⅓ avg 20.4% → last ⅓ avg 26.3%

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

0.12Best match rating · 16–4 · nuke, 9 Mar →
57%Best headshot accuracy · 13–0 · inferno, 21 Feb →
438msFastest reaction time · 16–3 · inferno, 10 Mar →
13–0Biggest win · inferno, 21 Feb →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
9–12In matches decided by ≤2 rounds
75Overtime games

Map breakdown

mirageBest map · 52% over 25dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC3013–1743%-0.00
mirageB2513–1252%-0.01
nukeC146–843%-0.01
overpassB126–650%0.02
dust2D92–722%-0.02
ancient—32–167%-0.00
vertigo—20–20%-0.10
anubis—10–10%-0.04
train—10–10%0.07
tuscan—10–10%0.00
breach—11–0100%-0.09
cache—11–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,187Matches
50%Win rate
1.20Avg K/D
69.6ADR
41%Headshot %

Clutches & streaks

35%1v1 clutch win
12%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2454%1.0613.8
Inferno1861%0.8513.3
Dust21127%0.7412.7
Nuke944%0.9016.3
Cache683%1.2816.3
Anubis425%0.6811.0
Ancient475%0.8010.5
Train450%0.9816.5

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.

25.7%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.6%Spray accuracy
86.7%Counter-strafing
10.4°Preaim
627msReaction time
4.7%T opening success
48.2%CT opening success
0.50Enemies flashed / flash
6.7%Flash assists
6.43HE damage / grenade
4.36Flashes / 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 0.4959 — 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 4.6761% — 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.

22% win rate across 9 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
nuke11–13-0.0623%12 Aug →
nuke8–13-0.0616%20 Jul →
nuke13–6-0.0045%4 Jul →
nuke8–130.0027%23 May →
inferno13–110.0128%22 May →
mirage13–50.0533%22 May →
inferno11–13-0.0811%19 Apr →
mirage13–8-0.0429%17 Apr →
overpass13–3-0.0444%16 Apr →
mirage6–13-0.0744%16 Apr →
inferno13–9-0.0410%9 Jan →
inferno1–13-0.0833%29 Oct →
dust27–13-0.0613%29 Jun →
inferno13–7-0.0323%1 Apr →
dust213–30.0120%1 Apr →
mirage7–13-0.0324%26 Feb →
overpass13–60.0341%26 Feb →
anubis7–13-0.0433%26 Feb →
mirage13–4-0.0130%26 Feb →
ancient11–13-0.0315%21 Feb →
mirage6–13-0.0527%21 Feb →
inferno13–00.0457%21 Feb →
vertigo7–13-0.1237%20 Feb →
nuke16–80.0417%21 Jun →
dust213–160.0717%21 Jun →
overpass19–220.0031%20 Jun →
mirage11–16-0.0518%13 Mar →
inferno12–16-0.0216%13 Mar →
mirage19–17-0.0017%13 Mar →
train2–90.0736%13 Mar →
overpass19–150.0120%12 Mar →
dust215–19-0.0415%12 Mar →
inferno12–16-0.0114%12 Mar →
overpass16–50.0815%10 Mar →
inferno19–150.0516%10 Mar →
mirage16–60.0519%10 Mar →
inferno16–30.0313%10 Mar →
nuke16–40.1214%9 Mar →
inferno16–90.0620%9 Mar →
ancient16–70.0318%7 Feb →
ancient19–15-0.0112%7 Feb →
dust210–16-0.0015%7 Feb →
mirage16–130.0622%7 Feb →
inferno12–16-0.048%11 Jan →
inferno17–190.0118%11 Jan →
mirage14–16-0.0215%10 Jan →
mirage16–140.0622%10 Jan →
inferno16–50.0817%10 Jan →
dust212–16-0.118%8 Nov →
nuke16–9-0.0121%6 Nov →
inferno9–16-0.0616%6 Nov →
mirage16–120.0021%6 Nov →
vertigo12–16-0.0816%5 Nov →
nuke7–16-0.0217%5 Nov →
overpass14–16-0.0310%1 Nov →
inferno16–130.0025%1 Nov →
inferno16–110.0611%1 Nov →
nuke14–160.0513%26 Oct →
overpass10–160.0728%26 Oct →
inferno5–16-0.030%26 Oct →
inferno10–16-0.0216%25 Oct →
overpass14–160.0522%25 Oct →
nuke13–16-0.0411%24 Oct →
inferno15–190.0420%24 Oct →
dust27–16-0.047%24 Oct →
mirage12–16-0.0238%24 Oct →
inferno11–160.0223%20 Oct →
nuke3–16-0.0119%20 Oct →
mirage4–16-0.0337%20 Oct →
inferno23–25-0.0415%11 Oct →
inferno16–100.0518%22 Sept →
overpass19–150.0211%21 Sept →
nuke14–16-0.0418%21 Sept →
tuscan7–160.0015%20 Sept →
dust219–170.0521%20 Sept →
overpass16–190.0118%14 Sept →
breach16–9-0.0930%11 Sept →
cache16–80.0322%4 Sept →
mirage16–140.0411%31 Aug →
mirage22–20-0.0225%31 Aug →
overpass16–13-0.0119%21 Aug →
mirage16–14-0.0326%21 Aug →
nuke16–13-0.0517%10 Aug →
inferno16–90.0113%3 Aug →
mirage13–16-0.0122%2 Jul →
inferno17–19-0.0414%30 Jun →
mirage10–16-0.0516%30 Jun →
mirage13–16-0.0120%23 Jun →
mirage16–90.0235%23 Jun →
inferno9–16-0.0614%22 Jun →
mirage10–16-0.0624%22 Jun →
inferno14–16-0.0313%22 Jun →
inferno16–190.0026%19 Jun →
inferno16–14-0.0017%19 Jun →
dust24–16-0.0923%17 Dec →
overpass10–16-0.0131%26 Nov →
mirage19–17-0.0115%23 Nov →
mirage6–9-0.0431%18 Nov →
inferno10–160.0616%15 Nov →
nuke16–110.0120%14 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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