Fenton

Fenton — CS2 Stats

GB76561198053916194[U:1:93650466]Steam profile ↗✓ No bans

952Tracked matches54%Win rate2020Tracked since
1,621Hours in CS
CSDB Rating5.4 DevelopingClutch Specialist
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,638 -505 11 Aug – 11 Dec · 32 days played
18,63820,517peak 20,51711 Aug11 Dec
20,804Peak Premier in tracked matches
53Days played since 2024-08-11

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate48.0%48.2%50.9%2.9% short
Shot accuracy18.0%13.2%13.7%above
Kill/death ratio1.201.071.09above
Match win rate41.8%46.9%48.4%6.6% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFentonFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning55
Utility43

0–100 skill scores via Leetify.

Recent form

COLD50–44–6Last 10050%Win rateLLLLWWLLTW

Last 10 vs previous 10: −30pp win rate · +0.05 avg rating · +3.4pp headshot accuracy · −2ms reaction

Win rate down 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 (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 584ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 594ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 595ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+0.8 against its own average).

Aim6.1
Utility4.3
Positioning5.5
Opening Duels4.8
Clutch6.0

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 50% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 574ms 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

Aim6.1
Positioning5.5
Utility4.3
Mechanics6.4
Opening Duels2.9
Win Impact6.2

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 time592ms+23ms
first ⅓ avg 569ms → last ⅓ avg 592ms
Headshot accuracy19.6%−0.7%
first ⅓ avg 20.3% → last ⅓ avg 19.6%

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

0.22Best match rating · 8–8 · memento, 12 Aug →
42%Best headshot accuracy · 13–11 · anubis, 10 Sept →
344msFastest reaction time · 1–13 · vertigo, 24 Sept →
13–0Biggest win · ancient, 25 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
11–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 65% over 17vertigoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
ancientA2113–862%-0.01
anubisS1711–665%-0.00
vertigoD154–1127%-0.03
infernoB147–750%-0.01
nukeD113–827%-0.01
overpass—44–0100%-0.04
mirage—41–325%-0.02
train—32–167%-0.01
cache—21–150%0.06
office—21–150%0.06
whistle—21–150%-0.01
palais—21–150%-0.03
mills—10–10%0.01
thera—11–0100%0.01
memento—10–10%0.22

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,146Lifetime kills
1.20K/D · Top 25% of Level 9 players
4,026Matches
41.8%Match win rate
48.0%Headshot %
18.0%Shot accuracy · Top 25% of Level 9 players
11,006MVPs
1,621Hours (in match)
2,223Bombs planted
1,331Bombs defused

Most-used weapons

AK-4735,311
AWP20,928
SSG 082,841
P2501,964
FAMAS1,764
MAC-101,368

Lifetime map wins

8,235inferno
3,820vertigo
2,679dust2
2,044nuke
737office
675cbble
637train
319assault

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

Faceit stats

Combat

593Matches
53%Win rate
1.12Avg K/D
73.4ADR
45%Headshot %

Clutches & streaks

50%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo6055%1.0616.0
Ancient4856%1.0314.9
Anubis4255%0.9114.3
Inferno3040%0.9414.8
Mirage1118%0.7911.8
Nuke650%1.2821.7
Train250%0.6214.5
Overpass250%0.9618.0

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.

19.3%Headshot accuracy
32.6%Accuracy (enemy spotted)
30.6%Spray accuracy
78.8%Counter-strafing
10.8°Preaim
574msReaction time
33.7%T opening success
49.8%CT opening success
0.65Enemies flashed / flash
9.2%Flash assists
5.92HE damage / grenade
6.86Flashes / 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. 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 33.6715% — below the 40% mark we flag

Spend your practice time on Vertigo

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–130.0426%3 Aug →
ancient9–130.0626%18 May →
inferno7–130.1223%18 May →
inferno11–130.0136%14 May →
nuke13–10.0216%14 May →
cache13–70.0825%14 May →
cache5–130.0524%11 May →
nuke6–130.0317%11 May →
nuke15–150.0220%30 Apr →
anubis13–110.0220%30 Apr →
anubis8–130.0130%30 Apr →
inferno13–40.0213%28 Apr →
overpass13–8-0.0715%19 Nov →
inferno1–13-0.0318%17 Nov →
mirage4–13-0.0110%3 Nov →
office9–130.0327%19 Mar →
inferno13–9-0.0021%4 Mar →
anubis16–14-0.0517%28 Feb →
ancient13–60.0425%22 Feb →
anubis13–30.0423%2 Feb →
ancient13–70.0212%2 Feb →
nuke6–9-0.0027%30 Jan →
whistle8–80.0222%30 Jan →
palais6–9-0.0723%30 Jan →
vertigo4–9-0.1521%30 Jan →
anubis11–130.0215%9 Jan →
mirage13–5-0.0410%11 Dec →
inferno10–13-0.0310%26 Nov →
ancient13–00.0811%25 Nov →
overpass13–6-0.0914%24 Nov →
train2–13-0.066%15 Nov →
train13–90.0621%14 Nov →
train13–1-0.0225%14 Nov →
whistle9–7-0.0440%14 Nov →
palais9–70.0122%14 Nov →
nuke15–15-0.0016%13 Nov →
ancient4–13-0.1017%11 Nov →
nuke11–13-0.0321%10 Nov →
office13–60.1037%5 Nov →
vertigo4–13-0.016%3 Nov →
ancient13–6-0.017%24 Oct →
vertigo2–13-0.0438%22 Oct →
vertigo13–7-0.0330%22 Oct →
anubis13–30.0429%15 Oct →
vertigo3–13-0.029%12 Oct →
ancient16–13-0.0312%12 Oct →
ancient13–40.0336%10 Oct →
anubis13–3-0.0512%10 Oct →
vertigo10–130.0215%7 Oct →
mirage6–13-0.028%6 Oct →
anubis16–14-0.0014%6 Oct →
vertigo13–3-0.0417%6 Oct →
inferno4–13-0.0915%6 Oct →
inferno13–90.0517%26 Sept →
vertigo6–6-0.0114%26 Sept →
anubis16–14-0.0113%26 Sept →
vertigo6–9-0.0522%26 Sept →
nuke13–10-0.0114%25 Sept →
anubis2–6-0.0426%25 Sept →
anubis15–15-0.0215%25 Sept →
vertigo1–13-0.070%24 Sept →
ancient13–90.0120%24 Sept →
inferno13–6-0.0826%24 Sept →
mills10–130.0136%20 Sept →
thera13–20.0137%20 Sept →
ancient13–40.0217%20 Sept →
anubis11–13-0.0211%19 Sept →
ancient11–13-0.0619%19 Sept →
ancient13–8-0.0610%18 Sept →
nuke5–13-0.049%18 Sept →
ancient16–140.0819%18 Sept →
inferno13–80.0420%17 Sept →
vertigo13–30.0119%16 Sept →
anubis13–11-0.0342%10 Sept →
nuke9–13-0.0126%10 Sept →
inferno10–13-0.0217%10 Sept →
anubis11–20.0028%10 Sept →
ancient9–13-0.0212%9 Sept →
inferno13–90.0518%5 Sept →
ancient0–13-0.0710%5 Sept →
overpass9–7-0.0736%5 Sept →
mirage14–16-0.0126%2 Sept →
vertigo11–13-0.0518%2 Sept →
ancient16–14-0.065%29 Aug →
ancient6–13-0.0824%21 Aug →
ancient13–10-0.0215%21 Aug →
anubis13–80.0129%19 Aug →
vertigo15–150.0613%19 Aug →
ancient10–13-0.0114%19 Aug →
inferno13–10-0.0139%15 Aug →
ancient6–13-0.0914%15 Aug →
anubis13–100.0312%13 Aug →
ancient13–60.0522%13 Aug →
vertigo7–13-0.0624%13 Aug →
vertigo13–30.0114%13 Aug →
nuke8–13-0.0623%13 Aug →
overpass9–70.0518%12 Aug →
memento8–80.2237%12 Aug →
inferno4–9-0.1116%12 Aug →
nuke13–50.0323%11 Aug →

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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