c0mm4nd3r — CS2 Stats

76561198135239467[U:1:174973739]✓ No bans

3,030Tracked matches60%Win rate2020Tracked since

6,406Hours in CS1Hrs last 2 wks

CSDB Rating6.0 SolidHybrid Rifler

WingmanThe Global Elite

Ladder ranks via Leetify

Performance scores

Aim71

Positioning56

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateWLLLWLWWLW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim7.1

Aggression6.0

Utility6.9

Positioning5.6

Opening Duels2.4

Clutch2.8

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 Twistzz 94% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 567ms 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

Aim7.1

Positioning5.6

Utility6.9

Mechanics6.3

Opening Duels2.4

Win Impact8.3

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time556ms−41ms

first ⅓ avg 597ms → last ⅓ avg 556ms

Headshot accuracy19.4%−0.1%

first ⅓ avg 19.5% → last ⅓ avg 19.4%

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

0.14Best rating — dust2 13–7

13–2Biggest win — cache

9Longest win streak

13–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 75% over 8overpassWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	0.01
inferno	A	21	13–8	62%	-0.00
ancient	S	17	12–5	71%	-0.01
nuke	D	9	3–6	33%	-0.00
cache	C	9	4–5	44%	-0.00
anubis	S	8	6–2	75%	0.02
overpass	D	6	1–5	17%	-0.02
mirage	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

203,609Lifetime kills

0.99K/D

6,943Matches

48.0%Match win rate · Top 50% of tracked players

52.6%Headshot % · Top 25% of tracked players

17.9%Shot accuracy · Top 25% of tracked players

19,273MVPs

5,737Hours (in match)

10,370Bombs planted

2,995Bombs defused

Most-used weapons

AK-4769,158

M4A4 / M4A1-S36,524

AWP23,497

Desert Eagle16,343

P2000 / USP-S15,757

Glock-187,633

P2504,582

Knife4,003

FAMAS3,217

MAC-102,727

Lifetime map wins

25,351inferno

22,960dust2

5,487nuke

3,105train

1,840vertigo

1,410cbble

15dust

14assault

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

Faceit stats

Combat

3,379Matches

50%Win rate

1.12Avg K/D

72.7ADR

43%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	213	53%	1.12	15.2
Dust2	183	48%	1.12	15.8
Ancient	175	42%	0.95	14.4
Anubis	109	47%	0.98	15.1
Nuke	58	53%	1.12	15.8
Overpass	38	47%	0.94	14.4
Mirage	16	44%	0.98	15.6
Cache	11	27%	1.16	16.6

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.

20.4%Headshot accuracy

34.0%Accuracy (enemy spotted)

32.4%Spray accuracy

78.2%Counter-strafing

9.3°Preaim

567msReaction time

38.8%T opening success

40.6%CT opening success

0.65Enemies flashed / flash

13.6%Flash assists

10.08HE damage / grenade

12.96Flashes / 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 38.7998% — below the 40% mark we flag

Spend your practice time on Overpass

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	-0.03	5%	17 Aug →
dust2	14–16	0.01	18%	6 Aug →
nuke	4–13	0.01	29%	3 Aug →
cache	7–13	-0.04	23%	3 Aug →
ancient	16–13	-0.05	13%	1 Aug →
dust2	7–13	-0.04	16%	1 Aug →
inferno	13–10	0.01	10%	29 Jul →
dust2	13–3	0.01	15%	29 Jul →
cache	10–13	-0.02	19%	28 Jul →
dust2	13–9	0.03	23%	28 Jul →
dust2	13–7	-0.03	6%	22 Jul →
nuke	10–13	0.03	10%	22 Jul →
cache	11–13	-0.07	11%	19 Jul →
anubis	13–11	0.02	18%	17 Jul →
cache	14–16	-0.01	23%	16 Jul →
dust2	4–13	-0.04	25%	15 Jul →
dust2	13–7	0.14	34%	15 Jul →
inferno	13–10	-0.03	24%	12 Jul →
dust2	1–13	-0.03	19%	12 Jul →
dust2	13–16	0.00	23%	10 Jul →
ancient	13–4	-0.02	23%	10 Jul →
dust2	13–3	0.02	25%	10 Jul →
inferno	8–13	0.03	18%	10 Jul →
anubis	13–9	0.02	30%	9 Jul →
ancient	13–9	0.03	22%	8 Jul →
inferno	16–14	0.01	21%	5 Jul →
dust2	16–12	0.07	29%	3 Jul →
ancient	4–0	0.02	6%	3 Jul →
dust2	16–14	0.07	39%	2 Jul →
dust2	13–5	0.09	20%	2 Jul →
inferno	13–7	0.07	12%	1 Jul →
ancient	13–11	-0.06	6%	1 Jul →
nuke	6–13	-0.00	26%	1 Jul →
dust2	1–3	0.01	57%	1 Jul →
nuke	14–16	-0.02	24%	19 Jun →
anubis	2–13	-0.09	25%	19 Jun →
dust2	11–13	0.04	16%	17 Jun →
inferno	13–7	0.04	33%	17 Jun →
anubis	11–13	-0.02	12%	17 Jun →
dust2	10–13	0.01	6%	17 Jun →
inferno	5–13	-0.03	18%	16 Jun →
inferno	13–11	0.02	23%	16 Jun →
ancient	8–13	-0.00	25%	14 Jun →
inferno	13–8	-0.02	38%	12 Jun →
anubis	13–6	0.11	14%	10 Jun →
overpass	6–13	-0.02	10%	9 Jun →
dust2	13–11	0.02	23%	9 Jun →
ancient	13–7	-0.01	18%	8 Jun →
anubis	13–5	0.06	31%	5 Jun →
dust2	9–13	-0.01	13%	5 Jun →
dust2	13–11	0.00	19%	5 Jun →
overpass	13–4	-0.07	26%	5 Jun →
inferno	11–13	-0.06	6%	5 Jun →
ancient	7–13	-0.04	14%	2 Jun →
dust2	13–10	0.00	15%	30 May →
nuke	13–6	0.07	25%	15 May →
nuke	13–11	0.05	28%	15 May →
cache	13–8	0.04	30%	11 May →
inferno	28–25	-0.01	11%	3 May →
dust2	13–16	0.01	23%	1 May →
cache	13–2	0.04	17%	30 Apr →
cache	6–13	0.06	14%	30 Apr →
cache	13–11	-0.02	23%	30 Apr →
cache	13–6	0.00	24%	30 Apr →
inferno	13–8	0.03	31%	30 Apr →
overpass	10–13	0.01	16%	22 Apr →
inferno	9–13	-0.01	43%	15 Apr →
ancient	13–5	0.05	16%	15 Apr →
dust2	8–13	0.02	21%	11 Apr →
inferno	8–13	-0.07	11%	4 Apr →
ancient	16–14	-0.01	23%	4 Apr →
nuke	5–13	-0.05	12%	4 Apr →
dust2	6–13	-0.02	21%	4 Apr →
ancient	16–14	-0.02	11%	27 Mar →
nuke	13–11	-0.05	25%	14 Mar →
nuke	8–13	-0.06	17%	2 Mar →
dust2	8–13	-0.02	22%	23 Feb →
dust2	10–13	-0.06	11%	22 Feb →
inferno	13–4	-0.01	17%	7 Feb →
ancient	5–13	-0.05	17%	7 Feb →
ancient	13–7	-0.06	27%	2 Feb →
inferno	10–13	0.00	18%	31 Jan →
ancient	8–13	0.02	25%	31 Jan →
dust2	13–10	-0.01	18%	30 Jan →
dust2	13–7	0.06	32%	30 Jan →
inferno	10–13	-0.02	11%	25 Jan →
overpass	9–13	-0.02	10%	24 Jan →
ancient	9–13	-0.04	20%	23 Jan →
anubis	13–6	0.01	20%	18 Jan →
dust2	9–13	-0.02	22%	15 Jan →
anubis	13–11	0.06	18%	14 Jan →
overpass	9–13	0.03	22%	8 Jan →
overpass	9–13	-0.03	31%	7 Jan →
ancient	13–7	0.06	31%	5 Jan →
inferno	13–9	0.04	11%	31 Dec →
dust2	13–4	0.07	27%	30 Dec →
inferno	13–6	-0.01	23%	30 Dec →
ancient	13–9	0.03	17%	23 Dec →
mirage	13–7	-0.01	15%	22 Dec →
inferno	1–13	-0.04	21%	14 Dec →