Fon_z

Fon_z — CS2 Stats

US76561198093630861[U:1:133365133]Steam profile ↗✓ No bans

1,253Tracked matches41%Win rate2020Tracked since
3,426Hours in CS8Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 7,799 +161 6 Mar – 25 Mar · 8 days played
7,6388,521peak 8,5216 Mar25 Mar
9,146Peak Premier in tracked matches
43Days played since 2026-02-24

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

Performance scores

Aim49
Positioning62
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY38–56–6Last 10038%Win rateLLWLWWLLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +0.7pp headshot accuracy · −27ms 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 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 700ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 636ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 649ms

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 (+2.8 against its own average).

Aim4.9
Utility1.8
Positioning6.2
Opening Duels2.2

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

donk

Plays most like donk 72% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 66% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 665ms 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

Aim4.9
Positioning6.2
Utility1.8
Mechanics6.2
Opening Duels5.5
Win Impact2.1

Composite 4.7/10 (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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time648ms−23ms
first ⅓ avg 671ms → last ⅓ avg 648ms
Headshot accuracy22.3%+2.3%
first ⅓ avg 20.0% → last ⅓ avg 22.3%

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

0.18Best match rating · 9–6 · vertigo, 20 Oct →
67%Best headshot accuracy · 9–3 · inferno, 2 Sept →
453msFastest reaction time · 3–13 · office, 2 Sept →
13–0Biggest win · vertigo, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
3–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 83% over 6cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC177–1041%-0.02
nukeD174–1324%-0.00
vertigoC125–742%-0.02
anubisC104–640%0.00
cacheD81–713%0.00
mirageA85–363%-0.01
dust2C73–443%0.00
ancientS65–183%0.02
trainA53–260%-0.01
office—31–233%-0.00
overpass—30–30%0.01
shelter—10–10%0.03
poseidon—10–10%-0.01
eldorado—10–10%-0.15
debris—10–10%-0.11

Across the last 100 tracked matches.

Lifetime stats

634,761,987Lifetime kills
1.00K/D
4,533Matches
37.4%Match win rate
0.0%Headshot %
99.8%Shot accuracy · Top 1% of tracked players
8,696MVPs
177,734Hours (in match)
634,778,762Bombs planted
966Bombs defused

Most-used weapons

Desert Eagle4,218,398
AWP19,436
AK-479,402
P2502,263
Knife2,132
SSG 081,816
Nova1,456

Lifetime map wins

11,215dust2
3,744inferno
3,079nuke
1,858vertigo
1,497office
641train
218bank
186lake

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

Faceit stats

Combat

2Matches
50%Win rate
0.62Avg K/D
—ADR
31%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

22.0%Headshot accuracy
27.2%Accuracy (enemy spotted)
26.0%Spray accuracy
77.9%Counter-strafing
8.8°Preaim
665msReaction time
66.1%T opening success
38.1%CT opening success
0.20Enemies flashed / flash
0.0%Flash assists
16.94HE damage / grenade
1.07Flashes / 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 0.2015 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.1484% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient4–130.0518%26 Oct →
cache7–13-0.0220%26 Oct →
cache13–100.0931%23 Oct →
cache11–130.0318%22 Oct →
anubis13–70.0322%20 Oct →
vertigo9–60.1830%20 Oct →
mirage13–16-0.0721%20 Oct →
inferno4–13-0.019%19 Oct →
nuke13–100.0315%19 Oct →
train13–6-0.0630%8 Oct →
nuke11–130.0538%4 Oct →
mirage13–7-0.0719%30 Sept →
nuke10–130.0617%29 Sept →
nuke3–130.0647%24 Sept →
vertigo13–0-0.035%23 Sept →
vertigo13–10-0.0216%23 Sept →
vertigo7–13-0.099%23 Sept →
vertigo13–0-0.0315%23 Sept →
vertigo8–130.0916%23 Sept →
nuke11–130.0325%21 Sept →
nuke5–13-0.0629%18 Sept →
cache11–130.0215%18 Sept →
anubis13–8-0.0519%17 Sept →
inferno7–9-0.1219%16 Sept →
inferno6–9-0.0526%16 Sept →
inferno8–13-0.0224%10 Sept →
dust211–13-0.0919%10 Sept →
dust215–15-0.0319%10 Sept →
vertigo13–10-0.0127%10 Sept →
vertigo2–13-0.0333%9 Sept →
anubis7–130.0338%9 Sept →
mirage13–8-0.0728%3 Sept →
nuke13–9-0.0721%3 Sept →
anubis13–90.0325%2 Sept →
inferno9–3-0.0667%2 Sept →
office10–13-0.0122%2 Sept →
office3–130.0125%2 Sept →
shelter12–120.0329%20 Aug →
train13–40.0331%15 Aug →
train13–5-0.0020%15 Aug →
train9–13-0.0428%14 Aug →
train6–130.0122%14 Aug →
poseidon5–9-0.0125%11 Aug →
nuke12–12-0.0825%11 Aug →
eldorado5–9-0.150%11 Aug →
debris5–9-0.110%11 Aug →
vertigo6–13-0.0227%11 Aug →
vertigo4–13-0.0716%14 Jun →
cache9–13-0.0125%10 Jun →
mirage13–11-0.0110%10 Jun →
cache3–13-0.047%26 May →
cache2–130.0118%26 May →
nuke10–130.0614%19 May →
vertigo5–13-0.0518%19 May →
cache1–13-0.0725%19 May →
inferno2–13-0.0310%13 May →
anubis12–120.0410%6 Apr →
anubis2–13-0.025%6 Apr →
anubis11–13-0.0019%6 Apr →
nuke8–13-0.028%25 Mar →
inferno6–9-0.0821%25 Mar →
inferno9–7-0.0633%25 Mar →
nuke4–9-0.0650%25 Mar →
nuke8–13-0.0720%24 Mar →
anubis13–30.0514%24 Mar →
inferno5–130.0416%23 Mar →
anubis14–16-0.0415%16 Mar →
inferno9–6-0.1214%11 Mar →
inferno4–13-0.0323%11 Mar →
dust28–130.0629%11 Mar →
nuke13–9-0.0114%11 Mar →
ancient13–80.0418%11 Mar →
ancient13–80.0720%10 Mar →
mirage6–130.0826%10 Mar →
inferno13–20.0912%10 Mar →
dust213–5-0.0359%9 Mar →
ancient16–140.0529%9 Mar →
anubis8–13-0.059%9 Mar →
overpass5–130.0430%7 Mar →
dust213–60.1018%7 Mar →
inferno10–13-0.0211%7 Mar →
dust213–60.0218%6 Mar →
ancient13–30.0024%6 Mar →
inferno13–90.0217%6 Mar →
inferno9–13-0.0218%6 Mar →
nuke14–160.0123%4 Mar →
overpass11–13-0.0117%4 Mar →
mirage13–90.0214%4 Mar →
inferno9–30.0726%4 Mar →
nuke15–15-0.0421%2 Mar →
ancient13–8-0.0817%2 Mar →
nuke8–80.0924%2 Mar →
vertigo4–9-0.1111%2 Mar →
inferno13–7-0.0119%2 Mar →
office13–10-0.0011%2 Mar →
dust214–16-0.0324%27 Feb →
mirage13–8-0.0116%27 Feb →
overpass6–130.0113%25 Feb →
mirage9–130.0517%24 Feb →
nuke13–9-0.0519%24 Feb →

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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