b3ngts0nesy

b3ngts0nesy — CS2 Stats

76561198263870202[U:1:303604474]Steam profile ↗✓ No bans

938Tracked matches43%Win rate2020Tracked since
CSDB Rating5.7 SolidClutch Specialist
CSDB Leaderboard#18891 of 258590 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 25,293 +6,275 13 Mar – 11 May · 20 days played
19,01827,568peak 27,56813 Mar11 May
27,617Peak Premier in tracked matches
41Days played since 2026-03-08

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

Performance scores

Aim79
Positioning46
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY61–38–1Last 10061%Win rateLLLWWLLLWW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −4.4pp headshot accuracy · −14ms 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 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 608ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 529ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 536ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim7.9
Utility5.7
Positioning4.6
Opening Duels1.8
Clutch8.4

Reliable in 1v1s

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 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 593ms 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

Aim7.9
Positioning4.6
Utility5.7
Mechanics7.2
Opening Duels1.8
Win Impact2.8

Composite 5.7/10 (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 rating0.04+0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time551ms−46ms
first ⅓ avg 597ms → last ⅓ avg 551ms
Headshot accuracy23.1%+4.0%
first ⅓ avg 19.1% → last ⅓ avg 23.1%

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

0.36Best match rating · 9–0 · inferno, 29 Jun →
100%Best headshot accuracy · 0–5 · ancient, 1 May →
375msFastest reaction time · 9–2 · inferno, 16 Jul →
13–1Biggest win · nuke, 19 Mar →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L3Current streak
9–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 70% over 10overpassWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
infernoS4831–1765%0.04
mirageA149–564%0.02
ancientA116–555%0.04
nukeS107–370%0.04
overpassB84–450%0.03
dust2B63–350%0.02
anubis—21–150%-0.01
cache—10–10%-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,869Matches
54%Win rate
1.08Avg K/D
80.0ADR
40%Headshot %

Clutches & streaks

62%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Cache475%1.2919.3
Mirage425%1.0218.8
Nuke475%1.1918.8
Ancient250%1.1516.0
Inferno250%1.9213.5
Overpass20%0.9615.0

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.

19.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
40.0%Spray accuracy
82.4%Counter-strafing
8.5°Preaim
593msReaction time
32.0%T opening success
42.7%CT opening success
0.56Enemies flashed / flash
6.2%Flash assists
9.41HE damage / grenade
9.99Flashes / 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 32.0382% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0127%27 Jul →
inferno7–13-0.0321%26 Jul →
cache3–13-0.0613%26 Jul →
anubis13–110.0413%26 Jul →
overpass9–30.2930%26 Jul →
ancient7–13-0.029%25 Jul →
inferno7–9-0.0221%25 Jul →
inferno5–9-0.1229%25 Jul →
inferno9–20.2321%16 Jul →
inferno9–10.0924%15 Jul →
overpass9–20.1614%29 Jun →
inferno9–00.3648%29 Jun →
inferno9–5-0.0326%27 Jun →
inferno9–40.0722%27 Jun →
mirage8–13-0.0314%16 Jun →
inferno9–10.2542%30 May →
nuke19–170.0126%19 May →
inferno2–4-0.0133%19 May →
inferno0–9-0.2211%19 May →
inferno9–00.2914%17 May →
inferno4–9-0.0731%14 May →
inferno9–50.1315%14 May →
inferno9–70.0419%13 May →
mirage0–13-0.0967%11 May →
anubis0–13-0.0613%11 May →
inferno13–50.0526%8 May →
dust213–11-0.0321%6 May →
nuke9–60.1033%6 May →
dust211–13-0.028%5 May →
mirage13–40.0712%5 May →
ancient13–80.0814%4 May →
dust213–20.0417%4 May →
mirage10–13-0.0230%1 May →
ancient0–5-0.06100%1 May →
inferno13–90.0214%1 May →
ancient13–80.1319%22 Apr →
inferno7–9-0.0719%16 Apr →
overpass9–5-0.1019%15 Apr →
mirage2–13-0.0912%15 Apr →
inferno9–50.0529%14 Apr →
inferno9–60.0019%14 Apr →
ancient16–120.0129%13 Apr →
overpass6–13-0.0224%13 Apr →
inferno9–60.039%13 Apr →
inferno9–00.2628%13 Apr →
mirage8–130.0918%2 Apr →
nuke10–130.0421%2 Apr →
dust213–100.0719%1 Apr →
ancient14–160.0116%1 Apr →
overpass8–13-0.028%1 Apr →
mirage13–110.0010%30 Mar →
inferno7–90.0219%30 Mar →
inferno5–9-0.0521%30 Mar →
inferno9–60.0420%27 Mar →
inferno13–8-0.0119%26 Mar →
mirage13–110.0123%26 Mar →
overpass13–160.0122%26 Mar →
inferno10–130.0626%26 Mar →
inferno13–5-0.037%22 Mar →
inferno9–50.0927%22 Mar →
nuke13–7-0.0317%21 Mar →
mirage13–80.0612%21 Mar →
nuke13–5-0.048%21 Mar →
mirage13–40.078%21 Mar →
overpass13–110.0117%21 Mar →
overpass9–13-0.0615%21 Mar →
inferno6–9-0.0726%21 Mar →
nuke6–130.0518%20 Mar →
nuke13–6-0.038%20 Mar →
ancient13–10-0.0011%20 Mar →
mirage13–110.1224%20 Mar →
ancient16–140.1233%20 Mar →
nuke13–10.1226%19 Mar →
mirage13–30.0826%19 Mar →
inferno13–90.0524%19 Mar →
ancient13–20.1216%19 Mar →
inferno13–60.0018%19 Mar →
inferno9–6-0.0223%19 Mar →
nuke4–13-0.0623%19 Mar →
inferno9–13-0.0311%18 Mar →
inferno8–80.0621%16 Mar →
inferno9–60.0826%15 Mar →
inferno9–40.1319%15 Mar →
mirage13–50.0620%14 Mar →
ancient10–13-0.0019%14 Mar →
dust210–130.0620%14 Mar →
inferno9–4-0.0321%14 Mar →
inferno9–60.0414%14 Mar →
nuke13–50.2328%13 Mar →
inferno13–5-0.0219%13 Mar →
mirage16–130.0116%13 Mar →
dust211–13-0.0213%13 Mar →
ancient8–130.0214%13 Mar →
inferno13–9-0.048%13 Mar →
inferno9–50.0918%11 Mar →
inferno9–50.0726%11 Mar →
inferno9–30.2320%10 Mar →
inferno7–90.0118%10 Mar →
inferno4–9-0.0618%10 Mar →
inferno7–9-0.0912%8 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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