Fabse

Fabse — CS2 Stats

DE76561198317880440[U:1:357614712]Steam profile ↗✓ No bans

670Tracked matches48%Win rate2022Tracked since
718Hours in CS1Hrs last 2 wks
CSDB Rating3.4 LearningSupport
FaceitLevel 4 · 997 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,406 +19 31 Jan – 5 Jul · 29 days played
11,26314,992peak 14,99231 Jan5 Jul
14,992Peak Premier in tracked matches
997Highest Faceit ELO seen on CSDB
36Days played since 2026-01-22

Faceit ELO

  • At peak — 997
  • Next: Level 5 at 1,051 — 54 to go
  • Reached: Level 4 · Level 3 · Level 2

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate46.6%42.7%43.8%above
Shot accuracy3.1%11.2%12.0%8.9% short
Kill/death ratio0.810.991.020.21 short
Match win rate43.8%43.9%44.7%0.9% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFabseFACEITLevel 4 · 997 ELOSTANDINGTop 81.0% of rankedPEAK ELO997csdb.gg/stats

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Performance scores

Aim46
Positioning33
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLLLLLWWWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.4pp headshot accuracy · +12ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 22%
  • Avg reaction 642ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 620ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 614ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim4.6
Utility4.7
Positioning3.3
Opening Duels0.0
Clutch4.4

Strong T-side opener

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

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning3.3
Utility4.7
Mechanics3.9
Opening Duels0.0
Win Impact4.4

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time614ms−17ms
first ⅓ avg 631ms → last ⅓ avg 614ms
Headshot accuracy19.5%+5.3%
first ⅓ avg 14.1% → last ⅓ avg 19.5%

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

0.14Best match rating · 13–1 · inferno, 14 Feb →
39%Best headshot accuracy · 13–11 · nuke, 6 Apr →
438msFastest reaction time · 13–11 · inferno, 10 Feb →
13–0Biggest win · ancient, 27 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
9–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 70% over 10overpassWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2213–959%-0.01
mirageB209–1145%-0.03
anubisC177–1041%-0.03
ancientS1711–665%-0.03
dust2S107–370%-0.04
overpassC83–538%-0.01
nuke—42–250%-0.00
cache—20–20%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,696Lifetime kills
0.81K/D
964Matches
43.8%Match win rate
46.6%Headshot % · Top 50% of Level 4 players
3.1%Shot accuracy
1,392MVPs
459Hours (in match)
824Bombs planted
241Bombs defused

Most-used weapons

Lifetime map wins

1,922inferno
1,238vertigo
841dust2
421nuke
218train
89office
19cbble
5lake

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

Faceit stats

Combat

70Matches
51%Win rate
0.70Avg K/D
54.5ADR
46%Headshot %

Clutches & streaks

42%1v1 clutch win
11%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1844%0.7011.4
Ancient1471%0.609.6
Inferno1338%0.659.2
Anubis1040%0.8013.2
Dust21050%0.6410.3
Train2100%1.2814.5
Nuke1100%1.0011.0

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.

20.0%Headshot accuracy
29.9%Accuracy (enemy spotted)
29.4%Spray accuracy
67.5%Counter-strafing
10.0°Preaim
614msReaction time
29.3%T opening success
19.4%CT opening success
0.52Enemies flashed / flash
3.3%Flash assists
4.92HE damage / grenade
8.10Flashes / 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 29.323% — below the 40% mark we flag

Spend your practice time on Overpass

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0526%26 Jul →
mirage1–13-0.0633%5 Jul →
overpass5–13-0.0120%5 Jul →
anubis2–13-0.1214%5 Jul →
mirage13–16-0.0718%27 Jun →
ancient13–20.0126%27 Jun →
ancient13–100.0523%27 Jun →
ancient13–00.0114%27 Jun →
inferno13–4-0.0225%27 Jun →
anubis10–13-0.0313%27 Jun →
overpass14–16-0.0223%27 Jun →
inferno11–13-0.0824%11 Jun →
ancient4–13-0.0826%11 Jun →
inferno13–11-0.0023%17 May →
anubis6–13-0.0422%17 May →
cache12–12-0.0333%16 May →
cache11–13-0.0318%16 May →
inferno13–90.0021%16 May →
inferno13–60.029%6 Apr →
nuke13–110.0639%6 Apr →
dust213–9-0.096%29 Mar →
overpass14–16-0.019%22 Mar →
ancient13–4-0.0512%22 Mar →
nuke10–1-0.0225%22 Mar →
mirage11–13-0.0820%21 Mar →
dust213–7-0.0312%21 Mar →
overpass3–13-0.0510%7 Mar →
mirage13–100.008%2 Mar →
dust21–13-0.0024%1 Mar →
dust213–5-0.0330%1 Mar →
nuke8–13-0.0114%28 Feb →
ancient11–13-0.0911%27 Feb →
inferno11–130.0212%27 Feb →
anubis15–15-0.0414%25 Feb →
ancient13–11-0.0014%22 Feb →
anubis13–100.0321%22 Feb →
anubis16–12-0.0214%21 Feb →
ancient16–13-0.0120%21 Feb →
ancient13–9-0.0111%20 Feb →
ancient13–70.0211%20 Feb →
mirage15–15-0.0513%20 Feb →
overpass13–20.0414%20 Feb →
overpass13–4-0.008%20 Feb →
mirage7–13-0.0828%20 Feb →
dust29–13-0.0716%17 Feb →
overpass5–13-0.0214%17 Feb →
ancient13–9-0.085%15 Feb →
mirage13–8-0.0114%15 Feb →
overpass13–5-0.0312%14 Feb →
inferno13–10.1414%14 Feb →
anubis13–4-0.0312%14 Feb →
dust213–60.0324%14 Feb →
mirage7–13-0.0721%14 Feb →
inferno13–60.0521%14 Feb →
mirage8–13-0.0612%13 Feb →
ancient4–13-0.0710%12 Feb →
inferno5–130.0515%11 Feb →
inferno13–11-0.037%10 Feb →
dust216–14-0.0222%10 Feb →
mirage13–6-0.0222%10 Feb →
dust213–4-0.105%8 Feb →
inferno10–13-0.0512%7 Feb →
inferno13–10-0.0220%7 Feb →
mirage7–13-0.0713%7 Feb →
anubis10–130.0012%7 Feb →
inferno11–13-0.055%7 Feb →
ancient13–11-0.0717%6 Feb →
anubis11–13-0.044%6 Feb →
mirage13–50.0114%6 Feb →
mirage8–13-0.049%6 Feb →
inferno5–13-0.0413%6 Feb →
inferno13–4-0.0414%6 Feb →
dust29–13-0.103%6 Feb →
inferno11–130.0214%1 Feb →
mirage13–110.0323%31 Jan →
anubis8–13-0.067%31 Jan →
mirage13–80.0418%31 Jan →
inferno13–10-0.0119%31 Jan →
inferno13–110.0122%31 Jan →
mirage13–40.0121%31 Jan →
ancient4–13-0.0911%31 Jan →
anubis13–8-0.0215%30 Jan →
inferno13–9-0.064%30 Jan →
ancient4–13-0.0710%30 Jan →
mirage13–10-0.0324%30 Jan →
ancient13–10.0421%30 Jan →
anubis13–7-0.0218%30 Jan →
anubis6–13-0.0811%30 Jan →
anubis3–13-0.0216%30 Jan →
mirage13–7-0.0311%30 Jan →
ancient11–13-0.0511%30 Jan →
inferno7–13-0.0923%25 Jan →
inferno13–10-0.0319%25 Jan →
nuke8–13-0.0212%24 Jan →
anubis9–13-0.0511%24 Jan →
mirage12–16-0.0116%24 Jan →
anubis13–9-0.057%24 Jan →
mirage6–13-0.0324%23 Jan →
anubis13–110.038%22 Jan →
dust213–10-0.0411%22 Jan →

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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