bl3di — CS2 Stats

MT76561198005191746[U:1:44926018]Steam profile ↗

3,085Tracked matches47%Win rate2020Tracked since

CSDB Rating5.8 SolidPassive Rifler

FaceitLevel 10 · 2,018 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning48

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLLLWWWWWLL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.2

Aggression2.7

Utility6.7

Positioning4.8

Opening Duels1.0

Clutch3.6

Strong CT-side opener

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 NiKo 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 45% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 628ms 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

Aim7.2

Positioning4.8

Utility6.7

Mechanics7.3

Opening Duels1.9

Win Impact3.9

Composite 5.8/10 (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 rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time626ms−12ms

first ⅓ avg 638ms → last ⅓ avg 626ms

Headshot accuracy16.2%+2.2%

first ⅓ avg 14.0% → last ⅓ avg 16.2%

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

0.12Best rating — inferno 13–7

13–3Biggest win — inferno

5Longest win streak

L3Current streak

10–12In matches decided by ≤2 rounds

11Overtime games

Map breakdown

overpassBest map · 75% over 8nukeWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	13–20	39%	-0.00
inferno	A	20	11–9	55%	-0.01
nuke	C	11	4–7	36%	-0.01
ancient	C	10	4–6	40%	0.00
anubis	C	9	4–5	44%	-0.04
overpass	S	8	6–2	75%	0.00
mirage	S	8	6–2	75%	0.02
cache	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,954Matches

51%Win rate

1.06Avg K/D

71.2ADR

40%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	428	51%	1.04	14.9
Inferno	426	60%	1.18	15.0
Anubis	320	48%	1.02	15.1
Nuke	177	47%	0.98	14.1
Ancient	109	40%	1.09	13.8
Overpass	72	57%	0.99	14.1
Mirage	51	41%	0.94	13.9
Train	36	31%	0.87	14.0

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.

15.8%Headshot accuracy

35.5%Accuracy (enemy spotted)

38.4%Spray accuracy

82.8%Counter-strafing

8.5°Preaim

628msReaction time

23.4%T opening success

44.8%CT opening success

0.70Enemies flashed / flash

6.6%Flash assists

10.75HE damage / grenade

13.08Flashes / 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.

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 23.3645% — below the 40% mark we flag

Spend your practice time on Nuke

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	0.03	14%	12 Aug →
nuke	3–13	-0.01	10%	20 Jul →
anubis	5–13	-0.04	24%	20 Jul →
cache	13–10	0.01	12%	20 Jul →
inferno	13–7	-0.05	23%	19 Jul →
inferno	13–3	0.05	19%	6 Jul →
overpass	13–5	0.07	34%	6 Jul →
overpass	13–9	-0.04	8%	28 Jun →
dust2	3–13	-0.04	9%	22 Jun →
anubis	4–13	-0.02	15%	15 Jun →
mirage	6–13	0.04	26%	15 Jun →
dust2	11–13	-0.03	14%	14 Jun →
dust2	12–16	-0.06	17%	4 Jun →
ancient	6–13	0.02	33%	3 Jun →
mirage	13–8	0.03	23%	1 Jun →
inferno	10–13	0.04	8%	1 Jun →
dust2	16–19	-0.03	10%	31 May →
mirage	13–8	0.04	11%	27 May →
dust2	11–13	-0.02	25%	25 May →
nuke	13–11	-0.02	10%	25 May →
nuke	13–6	0.01	7%	25 May →
inferno	11–13	-0.04	14%	24 May →
inferno	6–13	-0.06	25%	17 May →
dust2	13–11	0.03	12%	17 May →
dust2	8–13	-0.03	12%	11 May →
dust2	13–9	0.02	18%	11 May →
overpass	13–11	-0.01	15%	11 May →
inferno	13–8	0.02	8%	10 May →
dust2	5–13	-0.02	18%	10 May →
inferno	13–9	0.04	11%	6 May →
inferno	13–4	0.03	10%	6 May →
nuke	11–13	0.04	27%	4 May →
dust2	13–8	-0.04	12%	3 May →
ancient	9–13	-0.02	15%	3 May →
dust2	5–13	-0.03	12%	3 May →
inferno	13–7	0.12	13%	3 May →
ancient	13–6	0.05	8%	27 Apr →
anubis	10–13	0.02	19%	26 Apr →
anubis	16–14	-0.02	17%	26 Apr →
overpass	16–14	0.04	18%	26 Apr →
mirage	13–11	-0.01	22%	20 Apr →
nuke	16–13	-0.03	9%	20 Apr →
dust2	2–13	-0.08	16%	20 Apr →
inferno	13–9	-0.03	19%	20 Apr →
ancient	13–6	0.03	9%	18 Apr →
dust2	16–14	0.00	20%	13 Apr →
overpass	13–10	-0.00	16%	10 Apr →
dust2	5–13	0.04	29%	7 Apr →
mirage	13–6	0.06	11%	6 Apr →
nuke	5–13	-0.05	19%	5 Apr →
dust2	13–10	0.03	20%	5 Apr →
nuke	16–12	0.01	11%	1 Apr →
dust2	13–6	0.05	32%	31 Mar →
overpass	13–10	-0.02	11%	28 Mar →
dust2	13–10	0.00	22%	28 Mar →
nuke	14–16	-0.01	10%	28 Mar →
dust2	13–6	-0.01	13%	28 Mar →
dust2	13–11	0.02	11%	27 Mar →
inferno	13–3	0.10	14%	24 Mar →
dust2	19–16	-0.01	18%	24 Mar →
dust2	11–13	0.09	17%	23 Mar →
anubis	13–11	-0.09	17%	20 Mar →
dust2	1–13	-0.01	25%	20 Mar →
overpass	15–15	-0.02	13%	20 Mar →
anubis	3–13	-0.11	13%	19 Mar →
dust2	13–6	0.02	5%	19 Mar →
nuke	14–16	-0.03	13%	18 Mar →
ancient	9–13	-0.04	5%	18 Mar →
nuke	11–13	0.04	23%	17 Mar →
ancient	13–5	0.04	17%	17 Mar →
dust2	4–13	-0.04	12%	17 Mar →
nuke	11–13	-0.00	15%	17 Mar →
inferno	13–4	-0.06	16%	16 Mar →
inferno	7–13	-0.09	4%	15 Mar →
inferno	13–10	-0.05	22%	15 Mar →
anubis	13–11	-0.02	9%	15 Mar →
dust2	10–13	-0.01	15%	15 Mar →
inferno	7–13	-0.05	13%	15 Mar →
dust2	7–13	-0.02	15%	15 Mar →
mirage	13–4	0.01	19%	14 Mar →
ancient	9–13	-0.00	16%	13 Mar →
dust2	5–13	-0.05	13%	13 Mar →
dust2	13–10	0.04	14%	13 Mar →
inferno	9–13	-0.01	9%	13 Mar →
inferno	11–13	-0.03	13%	12 Mar →
ancient	8–13	-0.02	23%	12 Mar →
mirage	13–9	0.02	14%	12 Mar →
dust2	6–13	-0.02	21%	11 Mar →
dust2	6–13	0.02	19%	11 Mar →
anubis	6–13	-0.02	9%	11 Mar →
dust2	5–13	0.04	17%	11 Mar →
mirage	6–13	-0.03	11%	11 Mar →
inferno	11–13	0.00	17%	10 Mar →
inferno	13–8	-0.01	5%	10 Mar →
dust2	11–4	0.01	14%	10 Mar →
overpass	3–13	-0.01	11%	10 Mar →
anubis	13–8	-0.03	18%	10 Mar →
inferno	9–13	-0.03	22%	9 Mar →
ancient	8–13	-0.02	11%	9 Mar →
ancient	13–4	-0.01	3%	9 Mar →