Fabian

Fabian — CS2 Stats

DE76561198282276971[U:1:322011243]Steam profile ↗✓ No bans

1,388Tracked matches72%Win rate2021Tracked since
3,025Hours in CS18Hrs last 2 wks
CSDB Rating8.0 StrongPositional Player
Premier CS Rating20,290Top 50% of 203,074 CSDB-tracked playersPink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#75957 of 250023 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Aug 2026 (43 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: 20,290 +1,556 19 Jul – 24 Aug · 10 days played
18,05320,392peak 20,39219 Jul24 Aug
20,392Peak Premier in tracked matches
27Days played since 2026-07-19

Premier CS Rating

  • 102 below peak (20,392)
  • +1,189 over 30 days · improving
  • Next: Red band at 25,000 — 4,710 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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
Matches58——
Win rate57%——
K/D1.30——
Headshot %61%——

Measured 7 Sep 2026 → 6 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate67.8%46.9%49.2%above
Shot accuracy11.9%13.0%13.4%1.4% short
Kill/death ratio1.201.081.12above
Match win rate53.2%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFabianPREMIER20,290 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim95
Positioning68
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY57–36–7Last 10057%Win rateWWLLLLWWWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.4pp headshot accuracy · +11ms 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 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 519ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 562ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 557ms

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 (+2.3 against its own average).

Aim9.5
Utility5.0
Positioning6.8
Opening Duels6.1
Clutch0.0

Sharp aimerLimited 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

s1mple

Plays most like s1mple 90% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

T openings. 60% 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.

Reaction time. 558ms 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

Aim9.5
Positioning6.8
Utility5.0
Mechanics7.8
Opening Duels7.0
Win Impact10.0

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time560ms−44ms
first ⅓ avg 604ms → last ⅓ avg 560ms
Headshot accuracy27.2%+4.6%
first ⅓ avg 22.6% → last ⅓ avg 27.2%

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

0.27Best match rating · 9–3 · poseidon, 23 Aug →
46%Best headshot accuracy · 13–1 · vertigo, 28 Sept →
406msFastest reaction time · 5–13 · office, 19 Jul →
13–0Biggest win · inferno, 31 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–10In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 80% over 5cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
officeS2114–767%0.02
infernoB199–1047%0.02
nukeB105–550%0.04
dust2A106–460%0.03
mirageS96–367%-0.01
cacheD93–633%0.00
vertigoS54–180%0.09
ancientC52–340%-0.00
poseidonS54–180%0.16
overpass—21–150%-0.01
anubis—20–20%-0.01
train—22–0100%0.11
boulder—11–0100%0.14

Across the last 100 tracked matches.

Lifetime stats

161,911Lifetime kills
1.20K/D · Top 25% of Pink band
4,630Matches
53.2%Match win rate · Top 25% of Pink band
67.8%Headshot % · Top 5% of Pink band
11.9%Shot accuracy
11,041MVPs
5,619Hours (in match)
2,419Bombs planted
723Bombs defused

Most-used weapons

AK-4781,166
AWP17,164
FAMAS1,630
P2501,588
MP71,283

Lifetime map wins

5,252inferno
4,296dust2
2,088office
1,489nuke
972cbble
441vertigo
429train
131italy

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

Faceit stats

Combat

76Matches
53%Win rate
1.10Avg K/D
94.5ADR
40%Headshot %

Clutches & streaks

20%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2560%1.1119.6
Mirage2100%2.0923.0
Nuke10%0.7014.0

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.

27.1%Headshot accuracy
41.1%Accuracy (enemy spotted)
49.0%Spray accuracy
85.3%Counter-strafing
8.7°Preaim
558msReaction time
60.3%T opening success
55.4%CT opening success
0.40Enemies flashed / flash
11.9%Flash assists
7.25HE damage / grenade
4.43Flashes / 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 0.399 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0522%5 Oct →
dust213–40.0725%5 Oct →
inferno7–90.0923%5 Oct →
inferno3–9-0.0827%4 Oct →
dust26–130.1129%4 Oct →
office9–13-0.0321%4 Oct →
office13–70.0321%3 Oct →
office13–5-0.0119%3 Oct →
office5–1-0.0925%3 Oct →
office13–30.0136%3 Oct →
office12–12-0.0235%3 Oct →
office4–130.0428%29 Sept →
vertigo13–8-0.0216%28 Sept →
vertigo13–10.1546%28 Sept →
inferno8–8-0.0030%28 Sept →
office13–3-0.0512%28 Sept →
office13–5-0.0441%18 Sept →
mirage13–70.0426%13 Sept →
nuke7–13-0.0226%13 Sept →
boulder13–40.1414%5 Sept →
office13–10-0.0124%5 Sept →
office13–7-0.0931%5 Sept →
office11–130.0437%5 Sept →
office8–130.0629%4 Sept →
office13–60.0939%4 Sept →
office13–110.1124%4 Sept →
inferno8–10.0130%4 Sept →
inferno1–130.0326%4 Sept →
inferno1–13-0.0820%31 Aug →
inferno13–00.1633%31 Aug →
inferno13–80.0728%31 Aug →
inferno13–110.0832%31 Aug →
overpass13–110.0118%30 Aug →
mirage10–13-0.0420%30 Aug →
dust213–40.1128%30 Aug →
office13–8-0.0225%30 Aug →
cache10–13-0.0324%30 Aug →
inferno4–130.0142%30 Aug →
dust213–30.0015%30 Aug →
vertigo13–70.1330%30 Aug →
inferno13–9-0.0211%30 Aug →
dust212–120.0134%29 Aug →
cache13–00.0318%29 Aug →
dust26–130.0316%29 Aug →
inferno7–90.0924%29 Aug →
office13–60.0930%29 Aug →
ancient4–13-0.0717%24 Aug →
inferno8–8-0.0924%23 Aug →
inferno3–9-0.0122%23 Aug →
inferno13–70.0522%23 Aug →
poseidon8–80.0727%23 Aug →
poseidon9–20.2038%23 Aug →
poseidon9–30.2730%23 Aug →
poseidon9–70.1019%23 Aug →
poseidon9–40.1420%23 Aug →
anubis7–13-0.0814%23 Aug →
ancient13–40.0427%22 Aug →
dust213–60.0042%22 Aug →
ancient13–90.0636%22 Aug →
cache11–130.1130%22 Aug →
cache10–130.0426%22 Aug →
cache4–13-0.0827%21 Aug →
dust213–60.0129%21 Aug →
nuke11–130.0619%16 Aug →
office13–110.2637%16 Aug →
nuke3–130.1018%16 Aug →
mirage13–110.0024%12 Aug →
train13–70.1133%12 Aug →
nuke12–120.0123%11 Aug →
ancient11–13-0.0617%11 Aug →
mirage10–13-0.0223%11 Aug →
mirage13–5-0.0518%2 Aug →
vertigo9–130.0920%2 Aug →
cache13–7-0.0317%1 Aug →
nuke13–9-0.0025%1 Aug →
inferno7–9-0.0527%1 Aug →
office13–8-0.0424%1 Aug →
nuke13–20.0627%1 Aug →
overpass11–13-0.0225%29 Jul →
vertigo13–70.0824%29 Jul →
train13–40.1041%29 Jul →
mirage13–8-0.0215%29 Jul →
inferno13–50.0912%29 Jul →
mirage16–130.0415%27 Jul →
dust26–13-0.0717%27 Jul →
nuke13–50.0520%27 Jul →
ancient8–130.0214%27 Jul →
nuke11–130.0118%27 Jul →
cache11–130.0220%27 Jul →
mirage13–2-0.0421%26 Jul →
anubis12–120.0623%25 Jul →
mirage1–4-0.0343%24 Jul →
inferno13–10.0124%24 Jul →
cache8–13-0.0230%24 Jul →
cache13–7-0.0127%19 Jul →
office8–130.0327%19 Jul →
nuke13–40.1426%19 Jul →
office5–13-0.0019%19 Jul →
dust213–40.0414%19 Jul →
inferno9–40.0117%19 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.