Fnagel

Fnagel — CS2 Stats

LV76561198037520773[U:1:77255045]Steam profile ↗✓ No bans

658Tracked matches60%Win rate2021Tracked since
CSDB Rating5.7 SolidClutch Specialist
Premier CS Rating19,784Top 50% of 205,709 CSDB-tracked playersPurple band · top ~9.4% of ranked players (population est.)
CSDB Leaderboard#86855 of 253405 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,784 -1,573 3 May – 12 Oct · 18 days played
18,46521,357peak 21,3573 May12 Oct
21,531Peak Premier in tracked matches
36Days played since 2026-05-02

Premier CS Rating

  • 1,573 below peak (21,357)
  • -215 over 30 days · steady
  • -813 over 90 days
  • Next: Pink band at 20,000 — 216 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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

Share this profile

CSDB.GGFnagelPREMIER19,784 · Purple bandcsdb.gg/stats

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Performance scores

Aim70
Positioning47
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateWLLLLWWWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +9.9pp headshot accuracy · +4ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 638ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 30%
  • Avg reaction 624ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 622ms

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 (+4.8 against its own average).

Aim7.0
Utility3.8
Positioning4.7
Opening Duels2.3
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

iM

Plays most like iM 98% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Reaction time. 636ms 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

Aim7.0
Positioning4.7
Utility3.8
Mechanics7.5
Opening Duels1.6
Win Impact8.3

Composite 5.7/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time636ms−53ms
first ⅓ avg 690ms → last ⅓ avg 636ms
Headshot accuracy24.2%+5.1%
first ⅓ avg 19.1% → last ⅓ avg 24.2%

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

0.20Best match rating · 9–1 · overpass, 2 May →
100%Best headshot accuracy · 3–0 · ancient, 28 Sept →
438msFastest reaction time · 13–2 · inferno, 18 Jul →
13–0Biggest win · shelter, 22 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 67% over 9anubisWeakest map · 50% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA169–756%-0.01
cacheB158–753%-0.01
ancientA116–555%-0.02
nukeS96–367%0.00
overpassA95–456%-0.01
anubisB63–350%-0.05
officeB63–350%-0.01
vertigo—43–175%0.09
mirage—42–250%-0.05
dust2—32–167%-0.04
italy—32–167%-0.04
train—22–0100%0.01
poseidon—20–20%-0.01
alpine—20–20%-0.03
sanctum—21–150%-0.02
boulder—11–0100%-0.09
shelter—11–0100%0.01
fachwerk—11–0100%-0.00
eldorado—10–10%-0.14
debris—10–10%-0.19
warden—10–10%-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

61Matches
52%Win rate
0.89Avg K/D
44.1ADR
43%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%0.539.0
Dust210%0.478.0

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.

21.6%Headshot accuracy
33.2%Accuracy (enemy spotted)
42.5%Spray accuracy
83.7%Counter-strafing
11.2°Preaim
636msReaction time
32.3%T opening success
40.2%CT opening success
0.42Enemies flashed / flash
3.7%Flash assists
5.56HE damage / grenade
4.45Flashes / 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 0.4206 — 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 32.3288% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
vertigo9–20.1120%16 Oct →
anubis10–13-0.0619%12 Oct →
anubis6–13-0.0620%12 Oct →
anubis4–13-0.0319%28 Sept →
inferno9–13-0.0238%28 Sept →
ancient3–00.00100%28 Sept →
inferno13–80.0527%25 Sept →
dust213–110.0215%25 Sept →
inferno9–40.0528%25 Sept →
anubis13–9-0.0718%6 Sept →
mirage3–13-0.1122%4 Sept →
inferno13–70.0124%4 Sept →
office11–13-0.0317%30 Aug →
office13–8-0.084%25 Aug →
nuke8–13-0.0021%25 Aug →
inferno10–13-0.0512%22 Aug →
cache10–20.1226%22 Aug →
mirage13–6-0.0021%22 Aug →
boulder13–5-0.0919%22 Aug →
shelter13–00.0139%22 Aug →
fachwerk13–6-0.0023%22 Aug →
cache16–13-0.0418%15 Aug →
ancient13–20.0120%15 Aug →
ancient13–16-0.0437%9 Aug →
nuke13–8-0.0517%9 Aug →
cache13–0-0.0222%9 Aug →
office5–130.0323%8 Aug →
overpass13–6-0.0019%8 Aug →
anubis13–7-0.0127%7 Aug →
inferno13–100.0010%7 Aug →
nuke7–13-0.0332%7 Aug →
cache7–130.0213%3 Aug →
mirage10–13-0.0827%3 Aug →
ancient13–11-0.0220%27 Jul →
inferno13–11-0.0123%27 Jul →
cache11–13-0.0022%26 Jul →
nuke4–13-0.0914%26 Jul →
ancient11–13-0.0313%22 Jul →
cache11–13-0.0411%22 Jul →
cache13–6-0.0012%18 Jul →
anubis13–5-0.050%18 Jul →
inferno13–2-0.0810%18 Jul →
eldorado2–9-0.1438%10 Jul →
debris0–9-0.1910%10 Jul →
ancient13–5-0.0413%10 Jul →
inferno7–13-0.029%10 Jul →
ancient10–13-0.058%10 Jul →
cache2–13-0.068%10 Jul →
italy3–13-0.0317%4 Jul →
ancient13–10.1119%3 Jul →
dust28–13-0.0522%3 Jul →
cache13–90.0219%1 Jul →
overpass7–13-0.0921%1 Jul →
inferno10–13-0.0632%30 Jun →
mirage13–90.0023%26 Jun →
train13–80.0024%26 Jun →
cache6–13-0.0516%26 Jun →
ancient5–13-0.0623%26 Jun →
overpass13–5-0.0113%5 Jun →
office1–11-0.0714%5 Jun →
overpass13–100.0436%29 May →
overpass8–8-0.0313%28 May →
poseidon8–8-0.0315%28 May →
inferno5–90.0118%28 May →
nuke9–20.0733%28 May →
vertigo9–20.1122%28 May →
inferno9–13-0.0017%25 May →
overpass6–9-0.174%23 May →
italy13–5-0.0830%23 May →
italy13–6-0.0220%23 May →
alpine11–13-0.0519%23 May →
office13–110.0430%23 May →
train13–80.0213%23 May →
nuke13–10-0.0727%23 May →
cache13–10-0.0410%23 May →
dust213–8-0.0715%22 May →
warden11–13-0.0911%17 May →
cache3–13-0.0220%17 May →
alpine12–120.0021%17 May →
cache13–10-0.0113%17 May →
cache9–13-0.0518%9 May →
cache13–60.0623%9 May →
overpass6–13-0.0713%9 May →
inferno13–6-0.0242%9 May →
office13–100.0613%8 May →
sanctum6–9-0.0521%8 May →
vertigo6–90.019%8 May →
poseidon6–90.0122%8 May →
overpass9–20.0210%8 May →
inferno15–15-0.0624%8 May →
ancient13–9-0.0612%8 May →
nuke9–60.1220%8 May →
inferno9–5-0.0115%8 May →
ancient12–16-0.0318%6 May →
nuke13–6-0.0143%3 May →
vertigo9–20.1411%2 May →
overpass9–10.2019%2 May →
sanctum9–60.0025%2 May →
inferno9–50.1113%2 May →
nuke9–30.1026%2 May →

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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