blu — CS2 Stats

DE76561198004039473[U:1:43773745]Steam profile ↗✓ No bans

2,295Tracked matches64%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating27,742Top 5% of 819 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)

CSDB Leaderboard#523 of 18633 tracked

FaceitLevel 9 · 2,126 ELOTop 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning61

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateWWLWLLLWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.6

Aggression7.7

Utility3.9

Positioning6.1

Opening Duels2.9

Clutch4.4

Sharp aimerStrong CT-side openerLimited 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

Plays most like b1t 92% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 58% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6

Positioning6.1

Utility3.9

Mechanics5.1

Opening Duels3.5

Win Impact9.8

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time510ms−70ms

first ⅓ avg 579ms → last ⅓ avg 510ms

Headshot accuracy19.0%−3.3%

first ⅓ avg 22.3% → last ⅓ avg 19.0%

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

0.16Best rating — mirage 13–2

13–1Biggest win — dust2

5Longest win streak

W2Current streak

11–2In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 73% over 11dust2Weakest map · 33% over 24

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	12–12	50%	0.00
dust2	D	24	8–16	33%	0.00
inferno	A	19	12–7	63%	0.01
cache	S	11	8–3	73%	0.00
ancient	S	9	6–3	67%	-0.00
nuke	—	4	2–2	50%	0.02
anubis	—	3	3–0	100%	0.04
overpass	—	3	2–1	67%	0.02
train	—	2	1–1	50%	0.03
fachwerk	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

629Matches

54%Win rate

1.00Avg K/D

77.6ADR

40%Headshot %

Clutches & streaks

42%1v1 clutch win

31%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	42	69%	0.95	14.6
Nuke	27	52%	1.07	16.4
Dust2	25	44%	0.98	15.8
Ancient	24	46%	0.90	14.9
Overpass	10	50%	0.98	15.5
Mirage	9	44%	0.99	17.6
Train	3	67%	1.21	15.0
Vertigo	3	33%	0.95	16.7

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.

19.0%Headshot accuracy

39.6%Accuracy (enemy spotted)

42.9%Spray accuracy

72.8%Counter-strafing

8.2°Preaim

500msReaction time

25.0%T opening success

58.2%CT opening success

0.49Enemies flashed / flash

2.8%Flash assists

10.65HE damage / grenade

3.45Flashes / 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.

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 0.4871 — below the 0.5 mark we flag
Grenade Lineups →
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 25.0411% — 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.

33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.00	22%	24 Aug →
ancient	13–9	0.01	18%	24 Aug →
mirage	0–13	-0.06	33%	24 Aug →
mirage	13–11	0.02	17%	23 Aug →
train	1–13	-0.05	24%	21 Aug →
cache	8–13	-0.08	16%	19 Aug →
fachwerk	10–13	0.06	19%	19 Aug →
anubis	13–6	0.09	18%	19 Aug →
ancient	13–11	0.06	20%	19 Aug →
mirage	13–2	0.16	20%	17 Aug →
inferno	12–12	0.08	23%	17 Aug →
mirage	12–12	-0.03	18%	17 Aug →
mirage	7–13	-0.04	13%	16 Aug →
ancient	13–8	-0.07	11%	15 Aug →
nuke	3–11	-0.01	18%	15 Aug →
mirage	13–3	-0.03	11%	15 Aug →
mirage	4–13	-0.03	14%	15 Aug →
dust2	13–10	0.04	25%	15 Aug →
mirage	7–13	0.04	21%	15 Aug →
ancient	13–10	-0.04	18%	14 Aug →
mirage	13–2	0.08	23%	14 Aug →
cache	13–11	0.01	23%	14 Aug →
mirage	3–13	-0.09	5%	14 Aug →
inferno	13–4	0.04	7%	14 Aug →
dust2	13–9	0.05	30%	14 Aug →
inferno	13–10	0.01	16%	14 Aug →
dust2	9–13	0.06	29%	14 Aug →
ancient	13–6	0.04	16%	13 Aug →
cache	13–11	0.03	14%	13 Aug →
ancient	13–8	0.02	23%	13 Aug →
mirage	13–9	0.02	12%	13 Aug →
cache	13–3	-0.01	26%	13 Aug →
dust2	12–12	-0.02	23%	13 Aug →
overpass	8–13	-0.00	7%	12 Aug →
train	13–6	0.10	14%	12 Aug →
mirage	13–6	0.01	16%	11 Aug →
dust2	8–13	-0.03	15%	11 Aug →
inferno	12–12	-0.03	13%	11 Aug →
dust2	8–13	-0.04	16%	2 Aug →
inferno	5–13	0.02	21%	2 Aug →
nuke	0–2	-0.01	0%	24 Jul →
dust2	2–13	-0.02	17%	24 Jul →
nuke	13–9	0.08	18%	24 Jul →
dust2	13–7	0.06	26%	24 Jul →
mirage	16–14	0.02	11%	24 Jul →
mirage	7–4	-0.02	13%	19 Jul →
ancient	10–13	-0.03	9%	19 Jul →
mirage	0–3	-0.03	0%	19 Jul →
inferno	15–15	0.01	14%	19 Jul →
cache	13–10	0.03	24%	17 Jul →
inferno	13–11	0.00	26%	17 Jul →
dust2	13–8	-0.01	15%	17 Jul →
mirage	13–8	0.03	16%	6 Jul →
dust2	8–13	0.00	28%	6 Jul →
inferno	8–13	-0.10	14%	20 Jun →
inferno	13–8	0.00	23%	18 Jun →
mirage	13–5	0.03	17%	18 Jun →
dust2	7–13	-0.01	23%	18 Jun →
cache	13–5	0.14	22%	18 Jun →
dust2	12–12	-0.02	14%	16 Jun →
mirage	4–13	0.03	24%	16 Jun →
mirage	16–14	0.02	19%	16 Jun →
mirage	13–8	0.11	24%	16 Jun →
inferno	13–5	0.07	27%	16 Jun →
dust2	10–13	0.04	26%	2 Jun →
anubis	13–10	-0.02	23%	2 Jun →
dust2	8–13	-0.00	25%	27 May →
overpass	16–14	0.02	14%	27 May →
dust2	11–13	0.06	20%	27 May →
dust2	2–13	-0.07	22%	26 May →
cache	3–13	-0.08	40%	26 May →
cache	13–10	-0.04	24%	26 May →
dust2	13–4	0.10	18%	26 May →
inferno	13–8	0.02	17%	26 May →
overpass	13–11	0.03	23%	26 May →
dust2	1–13	-0.07	50%	23 May →
dust2	7–13	-0.03	17%	20 May →
inferno	13–8	-0.01	22%	20 May →
dust2	19–15	-0.01	9%	19 May →
inferno	9–13	0.03	17%	18 May →
ancient	6–13	-0.06	27%	18 May →
inferno	13–8	-0.01	18%	18 May →
mirage	3–13	-0.09	12%	17 May →
dust2	1–13	-0.04	21%	17 May →
mirage	12–12	0.08	29%	17 May →
inferno	13–3	0.01	22%	15 May →
dust2	13–9	0.01	22%	15 May →
nuke	13–11	0.00	22%	15 May →
dust2	6–13	-0.01	22%	15 May →
ancient	5–13	0.03	37%	12 May →
mirage	1–13	-0.08	29%	12 May →
inferno	16–14	-0.03	14%	10 May →
inferno	13–5	0.04	16%	10 May →
cache	3–13	-0.08	26%	10 May →
cache	13–8	0.06	22%	10 May →
dust2	13–1	0.01	34%	8 May →
anubis	13–5	0.05	27%	8 May →
inferno	8–13	0.10	17%	8 May →
mirage	8–13	-0.06	11%	4 May →
cache	13–10	0.04	17%	4 May →