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B1u

B1u — CS2 Stats

76561198049136776[U:1:88871048]Steam profile ↗

3,706Tracked matches43%Win rate2020Tracked since
4,923Hours in CS45Hrs last 2 wks
CSDB Rating4.0 Developing
Premier CS Rating19,041Purple band · top ~12.3% of ranked players (population est.)
CSDB Leaderboard#7432 of 14799 tracked
FaceitLevel 7 · 1,418 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGB1uFACEITLevel 7 · 1,418 ELOSTANDINGTop 42.3% of rankedPREMIER19,041 · Purple bandcsdb.gg/stats

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Performance scores

Aim43
Positioning44
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateLLWLLLWLWW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim4.3
Aggression5.3
Utility3.5
Positioning4.4
Opening Duels1.6
Clutch4.2

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 79% playstyle similarity

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

Where you differ: lower utility contribution; 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. 658ms 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

Aim4.3
Positioning4.4
Utility3.5
Mechanics5.9
Opening Duels1.6
Win Impact2.6

Composite 4.0/10 (Developing), 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-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time640ms−36ms
first ⅓ avg 675ms → last ⅓ avg 640ms
Headshot accuracy14.1%−3.5%
first ⅓ avg 17.6% → last ⅓ avg 14.1%

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.

Highlights

0.29Best rating — debris 9–2
13–1Biggest win — mirage
4Longest win streak
L2Current streak
3–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 100% over 5cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D279–1833%-0.01
mirageC269–1735%-0.02
infernoC156–940%-0.04
nukeS128–467%-0.01
ancientA95–456%-0.02
cacheD51–420%-0.00
anubisS55–0100%-0.00
debris—11–0100%0.29

Across the last 100 tracked matches.

Lifetime stats

155,189Lifetime kills
1.31K/D · Top 10% of tracked players
7,480Matches
43.6%Match win rate
40.2%Headshot %
19.0%Shot accuracy · Top 10% of tracked players
20,195MVPs
2,483Hours (in match)
10,791Bombs planted
2,269Bombs defused

Most-used weapons

AK-4731,661
AWP28,524
M4A4 / M4A1-S23,214
P2000 / USP-S10,025
Glock-188,315
Desert Eagle6,080
XM10144,825
Galil AR4,621
SSG 084,395
SG 5534,127

Lifetime map wins

27,328dust2
17,217inferno
2,290nuke
1,614vertigo
409train
291lake
159ar_shoots
139safehouse

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

Faceit stats

Combat

220Matches
51%Win rate
1.27Avg K/D
84.5ADR
37%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust24659%1.4419.7
Mirage4154%1.2217.1
Inferno4042%1.2517.0
Anubis3253%1.2417.2
Nuke2446%1.1616.8
Ancient1638%1.1816.0
Overpass650%1.1417.0
Cache580%1.5218.6

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.

14.5%Headshot accuracy
32.6%Accuracy (enemy spotted)
31.0%Spray accuracy
76.7%Counter-strafing
11.4°Preaim
658msReaction time
32.2%T opening success
40.3%CT opening success
0.61Enemies flashed / flash
8.3%Flash assists
12.38HE damage / grenade
1.71Flashes / 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 14.525% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.7085 — below the 4 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 32.2303% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0314%28 Aug →
dust28–130.0417%28 Aug →
nuke13–7-0.0324%28 Aug →
cache14–16-0.0117%28 Aug →
ancient8–13-0.0818%27 Aug →
mirage9–13-0.044%27 Aug →
dust27–3-0.0511%27 Aug →
dust24–130.0424%27 Aug →
nuke13–100.0219%27 Aug →
dust213–50.0516%27 Aug →
ancient13–30.0115%27 Aug →
mirage13–40.0211%27 Aug →
dust21–13-0.0810%27 Aug →
inferno8–13-0.1112%26 Aug →
mirage11–13-0.0318%25 Aug →
mirage15–15-0.008%25 Aug →
mirage5–13-0.060%25 Aug →
ancient9–13-0.059%25 Aug →
mirage13–10-0.0411%24 Aug →
nuke13–10-0.0517%24 Aug →
dust213–100.0221%24 Aug →
anubis13–9-0.0216%24 Aug →
mirage6–13-0.0312%24 Aug →
dust215–15-0.0524%24 Aug →
mirage11–130.0015%20 Aug →
mirage6–13-0.0820%20 Aug →
dust213–9-0.0221%20 Aug →
nuke14–16-0.079%20 Aug →
nuke13–8-0.028%20 Aug →
mirage0–2-0.110%20 Aug →
dust213–6-0.0115%20 Aug →
ancient13–11-0.0421%19 Aug →
dust210–13-0.019%19 Aug →
mirage8–130.0218%19 Aug →
nuke13–20.0326%19 Aug →
cache11–130.0924%19 Aug →
mirage4–13-0.006%19 Aug →
inferno13–6-0.0213%19 Aug →
mirage5–130.0324%19 Aug →
mirage13–8-0.0224%19 Aug →
anubis13–20.0718%19 Aug →
dust26–13-0.0213%19 Aug →
dust26–13-0.0314%19 Aug →
mirage13–1-0.0113%19 Aug →
inferno6–13-0.0330%19 Aug →
inferno13–7-0.0118%19 Aug →
mirage13–4-0.045%19 Aug →
cache13–8-0.0322%19 Aug →
inferno11–130.0221%18 Aug →
ancient7–13-0.0418%17 Aug →
mirage9–130.0015%17 Aug →
dust213–16-0.0327%17 Aug →
inferno13–50.028%17 Aug →
mirage16–14-0.0411%17 Aug →
dust213–11-0.049%17 Aug →
dust213–90.0818%17 Aug →
dust23–13-0.0210%13 Aug →
ancient2–13-0.0612%12 Aug →
inferno5–13-0.0529%12 Aug →
ancient13–50.0321%12 Aug →
ancient13–70.0420%11 Aug →
cache7–13-0.089%10 Aug →
anubis13–6-0.0510%10 Aug →
dust210–13-0.0333%10 Aug →
nuke13–6-0.0219%10 Aug →
nuke8–13-0.0417%10 Aug →
inferno2–9-0.2529%10 Aug →
inferno11–13-0.0216%10 Aug →
dust27–13-0.0814%10 Aug →
mirage6–13-0.0725%10 Aug →
dust213–40.0018%10 Aug →
dust211–13-0.0322%10 Aug →
nuke13–30.0810%10 Aug →
nuke13–2-0.0214%10 Aug →
mirage6–130.017%7 Aug →
dust213–7-0.0732%6 Aug →
nuke5–13-0.0723%6 Aug →
ancient13–7-0.0213%6 Aug →
mirage13–30.0333%6 Aug →
dust20–130.0117%6 Aug →
inferno13–40.0213%5 Aug →
mirage13–8-0.098%4 Aug →
inferno8–8-0.018%4 Aug →
nuke9–130.0616%4 Aug →
inferno12–16-0.0318%4 Aug →
inferno5–13-0.0523%4 Aug →
mirage13–70.0321%4 Aug →
dust210–130.0216%4 Aug →
dust25–13-0.0518%4 Aug →
inferno13–8-0.0219%4 Aug →
dust211–13-0.0111%3 Aug →
mirage7–13-0.0014%31 Jul →
dust211–130.0319%31 Jul →
cache8–130.0111%31 Jul →
mirage7–13-0.0213%29 Jul →
anubis13–70.0018%29 Jul →
dust210–13-0.0320%29 Jul →
anubis13–10-0.0311%25 Jul →
debris9–20.2924%25 Jul →
inferno9–2-0.0238%25 Jul →

Match data via Leetify.

Milestones

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

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