Fibou

Fibou — CS2 Stats

76561198144479151[U:1:184213423]Steam profile ↗✓ No bans

1,333Tracked matches52%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
Premier CS Rating18,403Purple band · top ~14.9% of ranked players (population est.)
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 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: 18,403 -1,597 17 May – 26 Oct · 23 days played
16,09022,372peak 22,37217 May26 Oct
22,372Peak Premier in tracked matches
57Days played since 2026-05-17

Premier CS Rating

  • 3,969 below peak (22,372)
  • +97 over 90 days
  • Next: Pink band at 20,000 — 1,597 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.

Share this profile

CSDB.GGFibouFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER18,403 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning59
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWLLLWLWLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.3pp headshot accuracy · +27ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 579ms

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 (+2.1 against its own average).

Aim6.6
Utility6.6
Positioning5.9
Opening Duels2.4
Clutch3.2

Strong CT-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

iM

Plays most like iM 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 572ms 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

Aim6.6
Positioning5.9
Utility6.6
Mechanics5.7
Opening Duels3.0
Win Impact5.6

Composite 5.9/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time575ms−92ms
first ⅓ avg 667ms → last ⅓ avg 575ms
Headshot accuracy16.9%−5.7%
first ⅓ avg 22.6% → last ⅓ avg 16.9%

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 · 6–0 · overpass, 14 Jun →
63%Best headshot accuracy · 4–0 · train, 18 Jun →
422msFastest reaction time · 13–8 · ancient, 2 Aug →
13–0Biggest win · mirage, 31 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–3In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 55% over 11dust2Weakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2110–1148%-0.01
ancientB137–654%-0.03
anubisB126–650%-0.00
nukeB126–650%0.00
mirageA116–555%-0.00
dust2C94–544%-0.02
cacheC94–544%0.02
train—42–250%0.02
overpass—44–0100%0.05
vertigo—31–233%0.04
office—21–150%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,137Matches
50%Win rate
0.98Avg K/D
67.6ADR
40%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis11950%0.8813.0
Ancient11746%0.7912.7
Nuke8855%0.8912.7
Inferno8153%0.8113.2
Cache3135%0.8712.7
Overpass2167%0.7511.3
Mirage1844%0.7011.4
Dust2825%0.6912.3

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.

16.5%Headshot accuracy
33.0%Accuracy (enemy spotted)
35.2%Spray accuracy
75.8%Counter-strafing
8.8°Preaim
572msReaction time
36.1%T opening success
47.8%CT opening success
0.58Enemies flashed / flash
3.9%Flash assists
9.33HE damage / grenade
16.57Flashes / 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 36.1222% — below the 40% mark we flag

Spend your practice time on Dust 2

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0015%1 Nov →
anubis10–13-0.0411%29 Oct →
nuke10–13-0.0613%26 Oct →
dust28–130.0213%26 Oct →
anubis13–11-0.0316%26 Oct →
cache2–13-0.1020%25 Oct →
dust213–70.1024%19 Oct →
mirage5–13-0.0218%16 Oct →
mirage10–13-0.0714%15 Oct →
cache13–100.0410%14 Oct →
ancient13–11-0.0520%14 Oct →
train13–9-0.0523%12 Oct →
vertigo12–120.0418%23 Sept →
anubis13–50.058%20 Sept →
nuke13–6-0.0117%20 Sept →
inferno16–130.0720%19 Sept →
inferno8–8-0.0519%19 Sept →
inferno5–13-0.106%19 Sept →
inferno16–14-0.0122%16 Sept →
ancient13–20.0116%14 Sept →
ancient10–13-0.0614%12 Sept →
cache11–130.0314%7 Sept →
office13–8-0.0117%2 Sept →
ancient8–13-0.0518%30 Aug →
cache13–30.1725%28 Aug →
cache6–13-0.0114%28 Aug →
ancient19–160.0127%25 Aug →
anubis11–130.0314%25 Aug →
inferno9–130.0216%25 Aug →
nuke13–8-0.0017%19 Aug →
inferno9–13-0.048%17 Aug →
inferno8–13-0.0232%16 Aug →
anubis10–13-0.0418%15 Aug →
inferno10–13-0.0314%15 Aug →
inferno13–70.0223%6 Aug →
ancient5–13-0.0825%6 Aug →
inferno13–70.0024%6 Aug →
inferno13–5-0.0120%6 Aug →
ancient13–80.0228%6 Aug →
anubis13–110.0123%5 Aug →
nuke4–130.0324%5 Aug →
nuke13–80.0321%5 Aug →
cache8–13-0.0230%5 Aug →
vertigo13–70.0819%2 Aug →
inferno19–17-0.0221%2 Aug →
ancient13–8-0.0317%2 Aug →
mirage13–5-0.0030%25 Jul →
cache13–80.0822%25 Jul →
nuke6–20.0524%25 Jul →
mirage5–130.0116%24 Jul →
anubis7–13-0.0124%22 Jul →
anubis8–130.0122%22 Jul →
inferno13–6-0.0321%21 Jul →
nuke3–13-0.0035%20 Jul →
mirage7–130.0810%19 Jul →
nuke9–130.0321%19 Jul →
nuke13–50.0623%18 Jul →
mirage16–140.0316%17 Jul →
inferno6–9-0.0729%17 Jul →
anubis13–100.0114%15 Jul →
dust25–13-0.1013%13 Jul →
inferno4–13-0.0341%13 Jul →
cache14–160.0030%13 Jul →
inferno7–130.0724%13 Jul →
anubis3–100.0442%13 Jul →
mirage13–80.0028%11 Jul →
mirage7–130.0218%11 Jul →
dust25–13-0.0614%10 Jul →
office10–130.0418%9 Jul →
cache13–11-0.0518%28 Jun →
overpass13–7-0.0432%28 Jun →
inferno13–90.018%28 Jun →
dust213–9-0.0311%23 Jun →
dust20–8-0.100%21 Jun →
train5–130.1022%18 Jun →
train7–13-0.0829%18 Jun →
train4–00.1163%18 Jun →
ancient2–13-0.0524%16 Jun →
overpass6–00.2223%14 Jun →
dust213–7-0.0425%14 Jun →
ancient22–20-0.0220%13 Jun →
overpass13–8-0.0110%13 Jun →
overpass13–100.0312%13 Jun →
ancient15–150.0228%13 Jun →
ancient10–13-0.0542%13 Jun →
dust24–13-0.0331%12 Jun →
nuke10–13-0.0125%7 Jun →
mirage13–3-0.0619%6 Jun →
dust213–100.0421%6 Jun →
mirage16–14-0.0320%6 Jun →
vertigo12–120.0227%3 Jun →
inferno9–13-0.0024%31 May →
mirage13–0-0.0125%31 May →
nuke15–15-0.0320%30 May →
inferno13–10-0.0020%29 May →
nuke13–6-0.068%29 May →
anubis13–10-0.085%28 May →
anubis13–50.0438%28 May →
inferno13–10-0.0131%26 May →
inferno7–13-0.0331%17 May →

Match data via Leetify.

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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