𝔪𝔬𝔫𝔰𝔱𝔢⚶ — CS2 Stats

76561198076710120[U:1:116444392]Steam profile ↗✓ No bans

1,587Tracked matches47%Win rate2023Tracked since

2,071Hours in CS6Hrs last 2 wks

CSDB Rating5.4 DevelopingClutch Specialist

Ladder ranks via Leetify

Performance scores

Aim64

Positioning46

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWLLWLWLLWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.4

Aggression3.5

Utility5.7

Positioning4.6

Opening Duels0.0

Clutch9.4

Excellent counter-strafingEffective flashesReliable in 1v1s

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 83% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 623ms 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

Aim6.4

Positioning4.6

Utility5.7

Mechanics8.7

Opening Duels0.1

Win Impact3.9

Composite 5.4/10 (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-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time623ms−39ms

first ⅓ avg 663ms → last ⅓ avg 623ms

Headshot accuracy19.2%+3.9%

first ⅓ avg 15.3% → last ⅓ avg 19.2%

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

0.11Best rating — dust2 16–12

13–1Biggest win — ancient

4Longest win streak

7–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 63% over 19infernoWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	20	11–9	55%	-0.01
ancient	A	19	12–7	63%	-0.01
inferno	C	16	6–10	38%	0.00
mirage	A	15	9–6	60%	0.00
cache	A	15	9–6	60%	-0.01
nuke	C	10	4–6	40%	0.00
overpass	—	3	1–2	33%	-0.03
anubis	—	2	0–2	0%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,044Lifetime kills

0.92K/D

4,167Matches

26.3%Match win rate

55.2%Headshot % · Top 25% of tracked players

0.5%Shot accuracy

4,886MVPs

3,361Hours (in match)

3,025Bombs planted

600Bombs defused

Most-used weapons

AK-4743,994

M4A4 / M4A1-S15,975

P2000 / USP-S7,280

MP93,027

Galil AR2,680

Glock-182,373

AWP1,940

MAC-101,910

MP71,440

Desert Eagle1,265

Lifetime map wins

5,987dust2

2,871inferno

2,173vertigo

1,034train

683nuke

178ar_baggage

163ar_shoots

111office

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

Faceit stats

Combat

6Matches

67%Win rate

1.38Avg K/D

87.5ADR

43%Headshot %

Clutches & streaks

67%1v1 clutch win

75%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	67%	1.61	15.0
Ancient	2	50%	1.39	22.0
Vertigo	1	100%	0.67	12.0

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.

18.9%Headshot accuracy

30.4%Accuracy (enemy spotted)

34.4%Spray accuracy

89.0%Counter-strafing

10.4°Preaim

623msReaction time

31.1%T opening success

26.2%CT opening success

0.74Enemies flashed / flash

6.2%Flash assists

8.96HE damage / grenade

6.40Flashes / 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 31.1338% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–4	0.04	25%	22 Aug →
mirage	10–13	0.02	18%	22 Aug →
nuke	7–13	-0.04	22%	10 Jul →
cache	13–8	-0.03	15%	10 Jul →
mirage	2–13	-0.06	42%	10 Jul →
cache	13–11	0.03	27%	8 Jul →
ancient	6–13	-0.06	15%	7 Jul →
cache	6–13	-0.03	13%	7 Jul →
dust2	13–8	0.01	24%	7 Jul →
cache	3–8	-0.06	18%	7 Jul →
ancient	13–2	-0.06	11%	1 Jul →
dust2	0–13	-0.03	0%	1 Jul →
mirage	2–13	-0.06	15%	1 Jul →
dust2	1–10	-0.04	18%	1 Jul →
overpass	13–6	-0.02	13%	30 Jun →
mirage	13–6	-0.05	22%	30 Jun →
inferno	11–13	0.10	28%	29 Jun →
inferno	0–13	-0.06	50%	29 Jun →
ancient	16–14	-0.02	19%	29 Jun →
nuke	6–13	-0.06	10%	28 Jun →
overpass	10–13	-0.02	17%	28 Jun →
dust2	13–8	-0.04	10%	28 Jun →
inferno	13–11	0.08	19%	18 Jun →
ancient	9–13	-0.04	12%	18 Jun →
dust2	13–4	0.08	26%	18 Jun →
mirage	13–6	0.03	20%	16 Jun →
dust2	10–13	-0.02	22%	16 Jun →
ancient	13–8	0.06	16%	8 Jun →
inferno	16–13	0.02	18%	8 Jun →
anubis	11–13	-0.06	10%	8 Jun →
nuke	7–13	-0.05	15%	8 Jun →
inferno	1–13	-0.08	27%	8 Jun →
ancient	11–13	-0.04	18%	6 Jun →
inferno	5–13	-0.02	7%	6 Jun →
cache	10–13	-0.09	13%	6 Jun →
nuke	16–13	0.00	13%	6 Jun →
nuke	13–11	0.01	13%	6 Jun →
nuke	6–13	0.00	21%	5 Jun →
mirage	9–13	0.01	26%	5 Jun →
ancient	13–10	-0.00	10%	4 Jun →
inferno	13–4	-0.03	17%	4 Jun →
dust2	13–10	0.05	13%	4 Jun →
dust2	10–13	-0.05	15%	4 Jun →
ancient	13–11	-0.00	27%	4 Jun →
inferno	13–5	0.01	19%	3 Jun →
dust2	8–13	-0.03	23%	3 Jun →
mirage	13–10	0.01	22%	3 Jun →
inferno	11–13	-0.02	24%	3 Jun →
dust2	15–15	-0.10	11%	3 Jun →
ancient	13–11	-0.04	10%	3 Jun →
dust2	13–5	-0.01	14%	3 Jun →
dust2	10–13	-0.05	20%	2 Jun →
cache	13–6	0.08	25%	2 Jun →
nuke	13–4	0.04	6%	2 Jun →
ancient	13–6	0.05	17%	2 Jun →
nuke	7–13	0.03	20%	31 May →
dust2	13–8	-0.01	23%	31 May →
ancient	7–13	-0.09	17%	23 May →
ancient	13–1	0.02	8%	23 May →
inferno	7–13	0.01	24%	22 May →
mirage	16–13	-0.04	16%	22 May →
mirage	13–6	0.08	12%	20 May →
mirage	13–10	0.02	26%	19 May →
inferno	9–13	-0.02	28%	19 May →
mirage	13–4	0.06	12%	19 May →
dust2	16–12	0.11	15%	19 May →
mirage	13–7	0.00	22%	18 May →
ancient	13–10	0.02	14%	18 May →
inferno	10–13	-0.06	16%	17 May →
ancient	13–5	-0.01	12%	17 May →
dust2	13–6	-0.01	25%	17 May →
anubis	6–13	0.06	21%	17 May →
inferno	11–13	0.04	23%	17 May →
inferno	13–6	-0.01	23%	17 May →
overpass	9–13	-0.05	21%	16 May →
nuke	4–13	0.07	16%	16 May →
ancient	11–13	-0.02	17%	16 May →
inferno	11–13	-0.03	14%	16 May →
ancient	7–13	-0.04	14%	16 May →
ancient	13–11	-0.03	14%	16 May →
dust2	3–13	-0.12	0%	16 May →
dust2	13–6	0.02	20%	16 May →
dust2	13–6	0.01	15%	15 May →
ancient	13–1	0.10	14%	15 May →
mirage	8–13	-0.03	19%	15 May →
ancient	11–13	0.02	18%	13 May →
mirage	13–5	0.01	19%	13 May →
mirage	10–13	0.03	12%	13 May →
dust2	13–6	0.01	6%	12 May →
cache	13–9	0.04	24%	12 May →
dust2	14–16	-0.02	24%	10 May →
cache	13–5	0.05	10%	9 May →
cache	13–10	-0.04	6%	8 May →
cache	13–7	0.01	16%	8 May →
cache	10–13	-0.04	17%	7 May →
cache	3–13	-0.02	12%	7 May →
cache	13–5	0.01	20%	7 May →
cache	7–8	0.01	6%	6 May →
cache	13–1	-0.03	8%	6 May →
inferno	13–9	0.07	11%	27 Mar →