Binbin

Binbin — CS2 Stats

FR76561197974037669[U:1:13771941]Steam profile ↗

1,029Tracked matches29%Win rate2022Tracked since
CSDB Rating3.0 Learning
Ladder ranks via Leetify

Performance scores

Aim46
Positioning20
Utility11

0–100 skill scores via Leetify.

Recent form

COLD355114Last 10035%Win rateTWLLLTLWTW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim4.6
Aggression1.5
Utility1.1
Positioning2.0
Opening Duels0.0
Clutch0.0

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 61% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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.

Reaction time. 612ms 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

Aim4.6
Positioning2.0
Utility1.1
Mechanics6.9
Opening Duels0.0
Win Impact0.0

Composite 3.0/10 (Learning), 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-0.07−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.07
Reaction time612ms−15ms
first ⅓ avg 627ms → last ⅓ avg 612ms
Headshot accuracy13.3%−0.5%
first ⅓ avg 13.8% → last ⅓ avg 13.3%

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

0.05Best rating — anubis 13–2
131Biggest win — anubis
5Longest win streak
32In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 47% over 36dust2Weakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
anubisB36171947%-0.04
infernoC2071335%-0.08
dust2D1541127%-0.07
cacheD134931%-0.07
nukeD103730%-0.07
mirage3030%-0.07
ancient3030%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

104Matches
36%Win rate
0.49Avg K/D
49.5ADR
44%Headshot %

Clutches & streaks

12%1v1 clutch win
10%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3043%0.569.6
Mirage2218%0.457.5
Anubis2143%0.427.8
Dust21547%0.518.5
Nuke812%0.519.4
Ancient333%0.4910.7
Vertigo333%0.539.0
Train250%0.5410.0

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.

13.1%Headshot accuracy
29.7%Accuracy (enemy spotted)
30.9%Spray accuracy
81.1%Counter-strafing
10.6°Preaim
612msReaction time
24.3%T opening success
26.2%CT opening success
0.10Enemies flashed / flash
0.0%Flash assists
6.95HE damage / grenade
0.22Flashes / 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 13.0523% — 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 0.0983 — 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 24.2954% — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke12–12-0.0410%19 Aug
dust213–9-0.1214%19 Aug
mirage7–13-0.099%19 Aug
ancient8–13-0.0324%16 Aug
cache4–13-0.1010%16 Aug
dust212–12-0.097%16 Aug
inferno1–13-0.0910%16 Aug
anubis13–3-0.0221%16 Aug
anubis12–12-0.0513%16 Aug
anubis13–20.0523%15 Aug
anubis3–13-0.1511%15 Aug
anubis6–13-0.106%15 Aug
anubis0–13-0.0515%15 Aug
anubis13–7-0.0010%15 Aug
anubis11–13-0.0612%15 Aug
anubis12–12-0.0315%13 Aug
anubis12–12-0.0818%11 Aug
inferno10–13-0.0917%11 Aug
nuke6–13-0.1111%11 Aug
ancient5–13-0.103%11 Aug
cache8–13-0.0711%11 Aug
dust25–13-0.0511%7 Aug
anubis8–2-0.058%3 Aug
dust212–12-0.1225%3 Aug
inferno13–3-0.0712%3 Aug
nuke13–3-0.0715%3 Aug
mirage9–13-0.0715%3 Aug
inferno1–13-0.0821%2 Aug
anubis6–13-0.099%2 Aug
anubis10–13-0.106%29 Jul
anubis3–13-0.0124%29 Jul
anubis13–11-0.0618%28 Jul
anubis10–13-0.066%27 Jul
cache6–13-0.127%26 Jul
nuke13–7-0.0114%26 Jul
inferno6–13-0.120%26 Jul
dust210–13-0.0613%25 Jul
anubis8–13-0.0623%25 Jul
anubis13–6-0.066%24 Jul
ancient12–12-0.0812%13 Jul
cache13–6-0.1021%13 Jul
anubis13–2-0.0223%13 Jul
dust22–13-0.086%13 Jul
nuke7–13-0.0311%13 Jul
inferno13–10-0.126%13 Jul
anubis13–9-0.0612%12 Jul
inferno13–10-0.098%12 Jul
dust213–7-0.0413%12 Jul
cache13–10-0.0512%12 Jul
mirage8–13-0.0612%3 Jul
cache6–13-0.0611%3 Jul
anubis4–13-0.0613%3 Jul
dust23–13-0.0618%3 Jul
inferno13–3-0.0126%17 Jun
dust213–2-0.0716%17 Jun
inferno8–13-0.075%10 Jun
cache6–13-0.1110%10 Jun
dust212–12-0.087%10 Jun
anubis13–5-0.013%10 Jun
anubis6–13-0.029%8 Jun
dust213–11-0.099%8 Jun
inferno6–13-0.057%8 Jun
inferno13–9-0.0417%7 Jun
cache9–13-0.0420%7 Jun
inferno6–13-0.0417%4 Jun
nuke10–13-0.0514%4 Jun
cache10–13-0.069%4 Jun
inferno8–8-0.1018%4 Jun
nuke13–10-0.079%3 Jun
inferno8–13-0.0811%3 Jun
inferno10–13-0.057%2 Jun
dust24–13-0.0735%2 Jun
inferno7–13-0.1124%1 Jun
anubis13–9-0.0713%1 Jun
cache9–13-0.1014%1 Jun
anubis12–7-0.0122%1 Jun
anubis12–12-0.0122%31 May
anubis9–13-0.0312%28 May
inferno12–12-0.0314%28 May
nuke9–13-0.1418%28 May
cache13–4-0.058%28 May
anubis13–9-0.0217%28 May
anubis13–3-0.007%28 May
anubis13–1-0.0114%28 May
inferno9–7-0.0818%27 May
anubis11–13-0.0117%27 May
dust21–13-0.0533%27 May
anubis13–4-0.0310%27 May
anubis1–13-0.0211%27 May
anubis13–5-0.0016%26 May
dust212–12-0.077%26 May
nuke5–13-0.1217%26 May
dust212–12-0.0711%21 May
nuke5–13-0.0513%21 May
cache9–13-0.012%21 May
anubis12–12-0.063%20 May
cache13–10-0.078%20 May
inferno5–13-0.120%20 May
inferno13–6-0.0712%19 May
anubis13–8-0.0315%19 May

Match data via Leetify.

Recent teammates

Milestones

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