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baitF Fangurl

baitF Fangurl — CS2 Stats

DK76561198282959167[U:1:322693439]Steam profile ↗✓ No bans

700Tracked matches52%Win rate2022Tracked since
CSDB Rating4.2 DevelopingHybrid Rifler
Premier CS Rating14,675Blue band · top ~30.1% of ranked players (population est.)
CSDB Leaderboard#35377 of 57603 tracked
Ladder ranks via Leetify

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CSDB.GGbaitF FangurlPREMIER14,675 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning39
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateWWWLLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.1
Aggression5.0
Utility2.8
Positioning3.9
Opening Duels0.6
Clutch0.0

Limited 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.

Your pro match

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-fight frequency, 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.

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

Aim6.1
Positioning3.9
Utility2.8
Mechanics4.9
Opening Duels0.7
Win Impact5.6

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time553ms−30ms
first ⅓ avg 584ms → last ⅓ avg 553ms
Headshot accuracy13.4%−1.5%
first ⅓ avg 14.8% → last ⅓ avg 13.4%

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.

Highlights

0.07Best rating — inferno 12–0
12–0Biggest win — inferno
7Longest win streak
W3Current streak
13–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 71% over 7mirageWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB3418–1653%-0.02
nukeB2210–1245%-0.04
cacheA117–464%-0.02
mirageC94–544%-0.04
anubisA85–363%-0.03
dust2B84–450%-0.02
ancientS75–271%-0.04
train—11–0100%-0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

20Matches
45%Win rate
0.72Avg K/D
45.3ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno729%0.709.3
Vertigo3100%1.1814.3
Ancient367%0.478.0
Mirage250%0.345.0
Overpass20%0.405.5
Anubis250%1.0415.5
Nuke10%0.9518.0

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.

13.5%Headshot accuracy
34.2%Accuracy (enemy spotted)
36.1%Spray accuracy
72.3%Counter-strafing
9.8°Preaim
543msReaction time
29.3%T opening success
35.9%CT opening success
0.38Enemies flashed / flash
6.0%Flash assists
5.92HE damage / grenade
1.55Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.4523% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3846 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.2777% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0612%25 Aug →
cache13–8-0.0411%25 Aug →
anubis13–3-0.0512%24 Aug →
cache8–110.0223%24 Aug →
anubis2–13-0.0611%24 Aug →
inferno13–8-0.085%17 Aug →
inferno13–7-0.0318%17 Aug →
mirage9–13-0.0212%17 Aug →
nuke5–13-0.0312%17 Aug →
ancient13–11-0.0311%15 Aug →
inferno1–11-0.024%13 Aug →
inferno13–110.0415%13 Aug →
inferno13–9-0.0118%12 Aug →
nuke11–13-0.0711%12 Aug →
nuke13–100.0014%12 Aug →
nuke2–13-0.0628%12 Aug →
dust213–11-0.0411%12 Aug →
cache13–8-0.0711%12 Aug →
inferno5–13-0.070%11 Aug →
inferno14–16-0.0910%11 Aug →
nuke13–11-0.0315%11 Aug →
dust213–16-0.0318%11 Aug →
inferno15–15-0.0217%11 Aug →
cache13–2-0.0110%9 Aug →
nuke8–13-0.0613%9 Aug →
mirage13–11-0.0315%9 Aug →
mirage8–13-0.0710%8 Aug →
inferno9–13-0.0310%8 Aug →
cache13–5-0.0117%8 Aug →
dust28–13-0.0625%8 Aug →
nuke7–13-0.078%8 Aug →
anubis13–90.0119%8 Aug →
inferno1–13-0.1015%8 Aug →
mirage10–13-0.0817%8 Aug →
inferno13–50.0115%7 Aug →
ancient4–13-0.1013%7 Aug →
nuke13–20.0413%7 Aug →
mirage1–13-0.096%6 Aug →
inferno5–130.0318%6 Aug →
cache13–9-0.0412%6 Aug →
nuke1–13-0.086%6 Aug →
inferno12–00.076%6 Aug →
anubis11–13-0.075%5 Aug →
nuke13–7-0.0213%5 Aug →
nuke8–13-0.0712%5 Aug →
inferno13–7-0.0310%5 Aug →
anubis13–11-0.058%4 Aug →
inferno13–90.0014%4 Aug →
nuke2–13-0.035%4 Aug →
mirage13–80.0121%4 Aug →
cache15–15-0.0521%3 Aug →
cache13–8-0.0118%3 Aug →
inferno13–30.0421%3 Aug →
inferno16–140.0027%3 Aug →
anubis13–30.0217%2 Aug →
ancient13–8-0.0130%2 Aug →
inferno10–13-0.0522%2 Aug →
mirage13–10-0.0210%1 Aug →
nuke13–4-0.0218%1 Aug →
dust213–110.0513%31 Jul →
dust213–11-0.0316%29 Jul →
dust28–13-0.0112%29 Jul →
nuke13–5-0.0414%29 Jul →
anubis14–16-0.0411%29 Jul →
inferno13–6-0.0313%29 Jul →
inferno8–13-0.0611%29 Jul →
ancient16–14-0.0316%29 Jul →
nuke7–13-0.087%28 Jul →
cache9–130.0319%28 Jul →
mirage10–130.0116%28 Jul →
dust27–13-0.0225%28 Jul →
nuke8–13-0.068%28 Jul →
ancient16–13-0.068%28 Jul →
ancient9–13-0.0422%28 Jul →
inferno13–3-0.067%28 Jul →
nuke15–150.0213%27 Jul →
cache13–70.0216%27 Jul →
nuke13–7-0.067%27 Jul →
nuke16–14-0.0511%27 Jul →
inferno13–8-0.0411%27 Jul →
ancient13–10-0.0422%26 Jul →
inferno7–130.049%26 Jul →
inferno10–13-0.0017%26 Jul →
inferno13–30.0122%26 Jul →
dust213–4-0.0411%25 Jul →
cache9–13-0.0322%25 Jul →
inferno10–13-0.0114%24 Jul →
inferno10–13-0.0013%24 Jul →
inferno11–13-0.0113%2 Jul →
inferno12–12-0.0120%1 Jul →
inferno13–10-0.0512%1 Jul →
mirage13–9-0.0618%1 Jul →
inferno13–9-0.0313%30 Jun →
inferno13–80.0310%29 Jun →
nuke13–2-0.0218%29 Jun →
anubis13–50.0422%28 Jun →
inferno13–110.0116%28 Jun →
inferno11–13-0.0510%28 Jun →
nuke4–13-0.0518%28 Jun →
train13–10-0.0521%17 Jun →

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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