ファックバディ

ファックバディ — CS2 Stats

76561198216655035[U:1:256389307]Steam profile ↗✓ No bans

177Tracked matches42%Win rate2023Tracked since
CSDB Rating6.5 SolidSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,752 -2,936 9 Oct – 25 Jun · 22 days played
11,71417,964peak 17,9649 Oct25 Jun
17,964Peak Premier in tracked matches
49Days played since 2025-09-25

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

Performance scores

Aim83
Positioning55
Utility74

0–100 skill scores via Leetify.

Recent form

HOT56–39–5Last 10056%Win rateWWLWWWLLWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +4.7pp headshot accuracy · −12ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 33%
  • Avg reaction 601ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 602ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 608ms

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 against its own average).

Aim8.3
Utility7.4
Positioning5.5
Opening Duels3.2

Excellent counter-strafingEffective flashes

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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 608ms 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

Aim8.3
Positioning5.5
Utility7.4
Mechanics8.7
Opening Duels2.2
Win Impact2.4

Composite 6.5/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time610ms−27ms
first ⅓ avg 637ms → last ⅓ avg 610ms
Headshot accuracy22.9%+5.0%
first ⅓ avg 17.9% → last ⅓ avg 22.9%

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

0.20Best match rating · 5–0 · vertigo, 12 Apr →
58%Best headshot accuracy · 5–0 · vertigo, 12 Apr →
438msFastest reaction time · 11–13 · ancient, 18 Mar →
13–0Biggest win · train, 23 Apr →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
7–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 80% over 5anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%0.02
infernoC167–944%0.03
ancientA149–564%0.04
nukeA95–456%0.01
overpassS97–278%0.04
dust2A85–363%0.02
anubisC73–443%0.04
trainS54–180%0.02
office—41–325%-0.03
vertigo—32–167%0.08
cache—22–0100%0.05
sanctum—10–10%-0.06
alpine—11–0100%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.3%Headshot accuracy
37.5%Accuracy (enemy spotted)
40.6%Spray accuracy
89.4%Counter-strafing
10.3°Preaim
608msReaction time
38.8%T opening success
39.0%CT opening success
0.71Enemies flashed / flash
5.7%Flash assists
14.55HE damage / grenade
12.85Flashes / 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 38.7592% — below the 40% mark we flag

Spend your practice time on Anubis

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–50.0733%22 Aug →
nuke13–5-0.0233%22 Aug →
inferno3–110.0429%18 Aug →
ancient13–10.1941%18 Aug →
mirage16–140.0431%18 Aug →
inferno6–3-0.1019%28 Jul →
dust211–13-0.0015%25 Jun →
mirage13–16-0.0120%25 Jun →
ancient13–90.0220%24 Jun →
train13–40.1124%23 Jun →
dust213–9-0.0137%23 Jun →
dust22–13-0.0011%22 Jun →
mirage5–13-0.0231%15 Jun →
mirage11–130.0224%10 Jun →
inferno13–110.0325%6 Jun →
vertigo12–120.0331%6 Jun →
anubis7–13-0.0116%5 Jun →
ancient4–13-0.0410%5 Jun →
anubis13–60.1826%1 Jun →
nuke9–130.037%29 May →
inferno5–13-0.0624%29 May →
anubis12–120.0719%20 May →
dust211–1-0.0623%20 May →
inferno12–120.1324%20 May →
anubis15–15-0.0115%19 May →
mirage9–130.0532%19 May →
inferno9–13-0.0121%13 May →
mirage11–13-0.006%11 May →
nuke10–13-0.0117%11 May →
inferno10–130.0115%9 May →
nuke13–70.0531%9 May →
dust213–50.0927%9 May →
anubis13–10.0418%7 May →
cache13–9-0.0314%6 May →
cache13–70.1315%6 May →
inferno13–70.1120%3 May →
mirage13–70.0617%3 May →
ancient13–70.025%23 Apr →
train13–00.0332%23 Apr →
train10–130.008%23 Apr →
vertigo13–7-0.0037%12 Apr →
vertigo5–00.2058%12 Apr →
anubis13–40.0321%2 Apr →
mirage13–11-0.0113%1 Apr →
nuke2–00.010%1 Apr →
mirage13–80.0410%1 Apr →
mirage13–100.0516%30 Mar →
dust213–110.0512%26 Mar →
office13–30.0319%26 Mar →
ancient11–130.0410%26 Mar →
overpass8–13-0.0318%25 Mar →
ancient11–13-0.0115%18 Mar →
mirage10–130.0216%18 Mar →
ancient10–130.0614%17 Mar →
overpass13–50.1838%12 Mar →
overpass13–90.1019%12 Mar →
inferno10–130.0517%10 Mar →
inferno13–10.1415%10 Mar →
dust26–13-0.0120%8 Mar →
inferno13–20.0514%8 Mar →
overpass13–70.0316%23 Feb →
mirage9–130.0117%23 Feb →
ancient13–60.1418%23 Feb →
mirage6–13-0.0822%20 Feb →
ancient8–13-0.0219%16 Feb →
mirage7–130.0124%16 Feb →
sanctum6–9-0.069%24 Jan →
inferno6–9-0.0530%24 Jan →
alpine13–60.0426%22 Jan →
office4–13-0.0617%22 Jan →
anubis6–13-0.0423%22 Jan →
ancient16–140.0217%22 Jan →
inferno10–13-0.0512%22 Jan →
inferno13–60.0518%10 Dec →
overpass13–11-0.0218%6 Dec →
nuke10–130.0116%6 Dec →
mirage13–60.0717%26 Nov →
office8–13-0.089%26 Nov →
train13–8-0.0419%26 Nov →
nuke3–80.0120%26 Nov →
overpass13–7-0.0013%20 Nov →
ancient13–50.0116%20 Nov →
train13–30.0025%20 Nov →
ancient13–50.0212%12 Nov →
nuke13–7-0.0132%12 Nov →
mirage4–13-0.0231%30 Oct →
overpass13–90.0418%30 Oct →
mirage10–130.0110%22 Oct →
mirage16–12-0.0116%22 Oct →
ancient13–80.0326%22 Oct →
overpass12–12-0.049%21 Oct →
inferno10–00.1319%21 Oct →
mirage13–40.0722%21 Oct →
mirage16–120.0814%9 Oct →
dust213–80.108%9 Oct →
nuke16–120.029%9 Oct →
inferno10–130.0223%9 Oct →
ancient13–40.0715%9 Oct →
office7–13-0.0218%1 Oct →
overpass13–30.1112%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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