подводная лодка — CS2 Stats

76561198267657650[U:1:307391922]✓ No bans

1,782Tracked matches44%Win rate2020Tracked since

6,814Hours in CS38Hrs last 2 wks

CSDB Rating3.6 Learning

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim46

Positioning49

Utility38

0–100 skill scores via Leetify.

Recent form

COLD33–62–5Last 10033%Win rateLLLLWLLLWW

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

Player DNA

Aim4.6

Aggression6.5

Utility3.8

Positioning4.9

Opening Duels2.1

Clutch2.2

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

Plays most like ropz 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6

Positioning4.9

Utility3.8

Mechanics4.0

Opening Duels2.1

Win Impact3.1

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time617ms+15ms

first ⅓ avg 602ms → last ⅓ avg 617ms

Headshot accuracy19.3%+2.3%

first ⅓ avg 17.0% → last ⅓ avg 19.3%

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 — mirage 8–13

13–4Biggest win — office

4Longest win streak

L4Current streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 50% over 10infernoWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	32	9–23	28%	-0.04
dust2	D	24	8–16	33%	-0.02
ancient	B	10	5–5	50%	-0.01
nuke	C	10	4–6	40%	-0.03
cache	D	9	2–7	22%	-0.04
inferno	D	5	0–5	0%	0.01
anubis	—	4	2–2	50%	-0.02
office	—	3	2–1	67%	0.02
overpass	—	2	1–1	50%	-0.06
vertigo	—	1	0–1	0%	0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,124Lifetime kills

0.87K/D

5,730Matches

37.4%Match win rate

42.6%Headshot %

12.8%Shot accuracy · Top 50% of tracked players

11,712MVPs

1,957Hours (in match)

6,036Bombs planted

850Bombs defused

Most-used weapons

AK-4721,419

AWP17,221

M4A4 / M4A1-S10,336

Desert Eagle6,358

P2000 / USP-S5,663

SSG 084,249

Glock-183,900

P902,402

Knife2,024

MP71,445

Lifetime map wins

15,194dust2

3,586inferno

1,875vertigo

1,786nuke

1,274train

523office

456cbble

132dust

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

Faceit stats

Combat

458Matches

50%Win rate

0.98Avg K/D

73.7ADR

45%Headshot %

Clutches & streaks

31%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	112	49%	0.95	13.5
Dust2	70	66%	1.26	15.7
Nuke	40	45%	0.91	14.7
Inferno	22	45%	0.78	12.6
Ancient	20	35%	1.05	14.7
Anubis	16	19%	0.85	14.1
Cache	11	55%	0.92	14.1
Train	8	25%	0.97	16.4

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.

19.5%Headshot accuracy

26.0%Accuracy (enemy spotted)

29.6%Spray accuracy

68.2%Counter-strafing

8.4°Preaim

610msReaction time

39.7%T opening success

36.8%CT opening success

0.63Enemies flashed / flash

3.1%Flash assists

8.54HE damage / grenade

5.56Flashes / 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 39.7348% — 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.

0% win rate across 5 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
dust2	3–13	-0.07	22%	26 Aug →
dust2	6–13	-0.01	23%	23 Aug →
mirage	5–13	-0.07	10%	22 Aug →
dust2	2–13	-0.11	38%	22 Aug →
mirage	13–10	-0.07	21%	21 Aug →
cache	8–13	0.04	46%	21 Aug →
ancient	11–13	0.02	14%	21 Aug →
cache	9–13	-0.02	15%	19 Aug →
nuke	13–6	-0.03	14%	19 Aug →
ancient	13–9	0.02	19%	5 Aug →
mirage	6–13	-0.04	6%	4 Aug →
dust2	15–15	-0.01	26%	31 Jul →
mirage	9–13	-0.03	27%	28 Jul →
mirage	6–13	-0.11	19%	26 Jul →
mirage	13–5	-0.06	21%	23 Jul →
mirage	13–8	-0.03	13%	23 Jul →
cache	13–6	-0.03	27%	16 Jul →
dust2	10–13	-0.09	9%	16 Jul →
dust2	13–9	-0.02	13%	14 Jul →
mirage	15–15	0.03	16%	11 Jul →
dust2	13–8	-0.00	35%	10 Jul →
ancient	8–13	-0.00	14%	10 Jul →
office	13–4	0.05	23%	7 Jul →
office	13–11	0.05	21%	7 Jul →
vertigo	12–12	0.10	20%	7 Jul →
office	5–13	-0.05	19%	6 Jul →
dust2	4–13	-0.04	15%	5 Jul →
anubis	7–13	0.01	10%	4 Jul →
ancient	13–5	0.05	14%	4 Jul →
nuke	13–11	-0.03	19%	2 Jul →
mirage	13–11	-0.01	9%	2 Jul →
ancient	13–4	0.04	12%	1 Jul →
mirage	6–13	-0.04	26%	1 Jul →
dust2	13–11	0.05	22%	1 Jul →
overpass	13–7	-0.03	6%	1 Jul →
dust2	11–13	-0.04	15%	1 Jul →
dust2	13–7	-0.05	13%	1 Jul →
mirage	16–13	0.00	10%	30 Jun →
dust2	13–11	-0.04	21%	30 Jun →
dust2	13–5	-0.01	22%	30 Jun →
mirage	14–16	-0.02	26%	30 Jun →
mirage	8–13	0.14	15%	29 Jun →
inferno	7–13	-0.01	6%	29 Jun →
cache	11–13	-0.07	14%	26 Jun →
ancient	5–13	-0.11	8%	26 Jun →
dust2	2–13	-0.06	35%	26 Jun →
ancient	8–13	0.00	16%	26 Jun →
nuke	4–13	-0.02	6%	26 Jun →
nuke	13–9	0.01	12%	26 Jun →
mirage	13–8	-0.01	22%	26 Jun →
mirage	13–8	-0.05	23%	26 Jun →
mirage	11–13	0.02	22%	26 Jun →
mirage	5–13	-0.11	6%	25 Jun →
ancient	9–13	-0.02	11%	24 Jun →
mirage	3–13	-0.08	19%	23 Jun →
cache	16–12	-0.03	23%	23 Jun →
dust2	15–15	0.01	50%	23 Jun →
dust2	8–13	0.03	38%	23 Jun →
dust2	13–5	0.05	43%	23 Jun →
cache	11–13	-0.05	2%	22 Jun →
mirage	8–13	-0.02	21%	22 Jun →
nuke	3–13	0.01	15%	22 Jun →
cache	0–7	-0.14	0%	19 Jun →
mirage	6–13	-0.01	8%	17 Jun →
dust2	8–13	-0.04	42%	16 Jun →
overpass	6–13	-0.09	12%	15 Jun →
anubis	7–13	-0.05	17%	14 Jun →
mirage	9–13	-0.03	22%	12 Jun →
mirage	7–13	-0.06	24%	12 Jun →
ancient	13–4	-0.03	14%	11 Jun →
nuke	13–11	-0.03	16%	11 Jun →
nuke	10–13	-0.07	4%	10 Jun →
mirage	9–13	-0.10	6%	10 Jun →
anubis	13–11	-0.07	20%	10 Jun →
mirage	8–13	-0.01	24%	10 Jun →
nuke	16–19	-0.05	30%	9 Jun →
mirage	4–13	-0.09	14%	9 Jun →
mirage	8–13	-0.00	9%	9 Jun →
mirage	9–13	-0.03	26%	9 Jun →
dust2	3–13	-0.12	0%	8 Jun →
dust2	4–13	-0.09	33%	8 Jun →
nuke	9–13	-0.07	23%	8 Jun →
nuke	9–13	-0.04	24%	7 Jun →
mirage	13–6	-0.01	17%	7 Jun →
cache	10–13	-0.03	19%	7 Jun →
mirage	6–13	-0.04	3%	6 Jun →
dust2	7–13	0.01	19%	5 Jun →
anubis	16–12	0.03	18%	4 Jun →
mirage	13–8	-0.07	14%	4 Jun →
mirage	5–13	-0.06	11%	3 Jun →
inferno	6–13	0.01	24%	3 Jun →
dust2	13–11	0.07	12%	3 Jun →
dust2	8–13	-0.03	21%	28 May →
inferno	15–15	0.03	23%	20 May →
ancient	13–11	-0.07	16%	20 May →
inferno	7–13	0.05	12%	17 May →
dust2	9–13	0.00	15%	13 May →
mirage	5–13	-0.07	20%	12 May →
cache	11–13	-0.01	14%	12 May →
inferno	8–13	-0.04	14%	12 May →