B1uW4ffl3

B1uW4ffl3 — CS2 Stats

76561199085582624[U:1:1125316896]Steam profile ↗✓ No bans

171Tracked matches34%Win rate2024Tracked since
88Hours in CS
CSDB Rating2.5 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim34
Positioning21
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY31–63–6Last 10031%Win rateTWWLWWLLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −2.1pp headshot accuracy · −77ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 11%
  • Avg reaction 661ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 12%
  • Avg reaction 636ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 13%
  • Avg reaction 675ms

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: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim3.4
Utility1.2
Positioning2.1
Opening Duels0.0

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.

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

jL

Plays most like jL 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 702ms 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

Aim3.4
Positioning2.1
Utility1.2
Mechanics5.6
Opening Duels0.0
Win Impact0.0

Composite 2.5/10 (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+0.02
first ⅓ avg -0.09 → last ⅓ avg -0.07
Reaction time715ms−10ms
first ⅓ avg 725ms → last ⅓ avg 715ms
Headshot accuracy13.5%+2.1%
first ⅓ avg 11.4% → last ⅓ avg 13.5%

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

0.03Best match rating · 8–6 · ancient, 25 Mar →
33%Best headshot accuracy · 6–13 · dust2, 24 May →
438msFastest reaction time · 0–13 · mirage, 19 Sept →
13–1Biggest win · cache, 10 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 40% over 5ancientWeakest map · 18% over 22
MapGradePlayedRecordWin rateAvg rating
dust2D3612–2433%-0.07
mirageC2610–1638%-0.07
ancientD224–1818%-0.07
cacheD62–433%-0.06
nukeC52–340%-0.09
overpass—20–20%-0.12
inferno—10–10%-0.04
anubis—11–0100%-0.05
train—10–10%-0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,239Lifetime kills
0.35K/D
278Matches
27.3%Match win rate
39.3%Headshot %
0.0%Shot accuracy
105MVPs
88Hours (in match)
183Bombs planted
8Bombs defused

Most-used weapons

Lifetime map wins

634dust2
98nuke
81inferno
50vertigo
13italy
12office
2train
1ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

13.8%Headshot accuracy
29.7%Accuracy (enemy spotted)
32.9%Spray accuracy
75.3%Counter-strafing
11.2°Preaim
702msReaction time
8.3%T opening success
23.1%CT opening success
0.20Enemies flashed / flash
1.0%Flash assists
6.06HE damage / grenade
0.92Flashes / 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 13.7695% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 701.5784ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.1991 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

18% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0913%4 Nov →
dust213–9-0.0518%4 Nov →
mirage13–10-0.073%24 Oct →
mirage0–13-0.106%19 Sept →
mirage13–9-0.0817%17 Sept →
dust211–3-0.0511%12 Aug →
ancient6–13-0.0821%12 Aug →
ancient9–13-0.0813%10 Aug →
dust211–13-0.0514%9 Aug →
dust211–13-0.100%6 Aug →
dust26–13-0.049%6 Aug →
cache13–11-0.0223%6 Aug →
ancient7–13-0.0827%25 Jul →
mirage13–11-0.1016%25 Jul →
mirage4–13-0.106%18 Jul →
dust213–11-0.0713%18 Jul →
dust27–13-0.078%18 Jul →
ancient13–5-0.0813%18 Jul →
cache8–13-0.038%18 Jul →
ancient7–13-0.0415%18 Jul →
dust27–13-0.1428%18 Jul →
nuke6–13-0.1114%18 Jul →
ancient10–13-0.0416%18 Jul →
dust213–8-0.006%13 Jul →
cache10–13-0.0620%13 Jul →
ancient9–13-0.107%24 Jun →
mirage8–13-0.0618%24 Jun →
mirage10–13-0.0826%23 Jun →
dust213–9-0.093%23 Jun →
dust210–13-0.0819%22 Jun →
inferno8–13-0.0421%13 Jun →
dust213–5-0.0615%13 Jun →
anubis13–5-0.050%13 Jun →
nuke12–16-0.0911%13 Jun →
mirage8–13-0.0726%10 Jun →
mirage8–13-0.099%8 Jun →
ancient9–13-0.0915%8 Jun →
dust26–13-0.1233%24 May →
ancient11–13-0.117%12 May →
dust213–10-0.0418%11 May →
nuke9–13-0.0918%10 May →
dust25–13-0.095%10 May →
cache13–1-0.0416%10 May →
cache6–13-0.1021%9 May →
ancient11–13-0.106%9 May →
dust29–13-0.099%9 May →
ancient13–70.010%22 Apr →
dust210–13-0.0319%22 Apr →
mirage11–13-0.0819%11 Apr →
dust213–10-0.045%11 Apr →
ancient13–4-0.059%10 Apr →
ancient8–60.038%25 Mar →
dust26–7-0.0330%25 Mar →
mirage3–13-0.1227%19 Mar →
dust22–13-0.0813%19 Mar →
dust212–12-0.018%15 Mar →
dust213–9-0.0722%14 Mar →
mirage13–10-0.046%14 Mar →
dust24–13-0.074%13 Mar →
dust29–13-0.0519%13 Mar →
ancient7–13-0.0713%1 Mar →
mirage13–8-0.0510%1 Mar →
dust213–2-0.0232%28 Feb →
mirage6–13-0.1310%28 Feb →
mirage13–80.0012%26 Feb →
dust213–2-0.0210%26 Feb →
mirage9–13-0.056%2 Feb →
ancient5–13-0.1025%2 Feb →
dust21–13-0.130%31 Jan →
ancient6–13-0.1511%31 Jan →
train2–9-0.120%31 Jan →
ancient13–8-0.0622%18 Jan →
dust26–13-0.105%18 Jan →
mirage13–10-0.0611%18 Jan →
ancient1–13-0.0417%17 Jan →
dust210–13-0.105%16 Jan →
ancient12–16-0.098%28 Dec →
mirage3–13-0.1028%26 Dec →
dust29–13-0.0610%23 Dec →
overpass8–13-0.1210%23 Dec →
mirage6–13-0.0212%23 Dec →
dust26–13-0.0422%22 Dec →
dust210–13-0.0413%22 Dec →
mirage6–13-0.105%20 Dec →
ancient5–13-0.1112%20 Dec →
ancient12–12-0.106%20 Dec →
dust212–12-0.1115%16 Dec →
dust26–13-0.120%15 Dec →
ancient11–13-0.0417%15 Dec →
mirage4–13-0.0921%15 Dec →
mirage2–13-0.0314%14 Dec →
dust24–13-0.1311%14 Dec →
mirage4–13-0.100%24 Jul →
nuke13–6-0.047%18 Jul →
mirage13–8-0.0521%18 Jul →
mirage13–8-0.115%17 Jul →
dust212–12-0.0820%16 Jul →
mirage13–2-0.0512%16 Jul →
overpass12–12-0.128%15 Jul →
nuke13–8-0.105%14 Jul →

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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