Штурман — CS2 Stats

US76561198075352451[U:1:115086723]Steam profile ↗

671Tracked matches52%Win rate2020Tracked since

1,191Hours in CS

CSDB Rating6.0 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim69

Positioning58

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateWWWWWTLLLW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

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

Aim6.9

Aggression8.7

Utility5.9

Positioning5.8

Opening Duels3.3

Clutch0.0

Effective flashes

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 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 651ms 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

Aim6.9

Positioning5.8

Utility5.9

Mechanics6.9

Opening Duels3.3

Win Impact5.6

Composite 6.0/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time654ms+16ms

first ⅓ avg 639ms → last ⅓ avg 654ms

Headshot accuracy18.4%−1.4%

first ⅓ avg 19.9% → last ⅓ avg 18.4%

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

0.17Best rating — ancient 13–8

13–1Biggest win — inferno

5Longest win streak

W5Current streak

8–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 64% over 14infernoWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	19	6–13	32%	0.00
overpass	B	15	7–8	47%	0.02
nuke	A	14	9–5	64%	0.00
ancient	A	14	8–6	57%	0.02
inferno	D	11	2–9	18%	0.01
train	B	11	5–6	45%	0.01
anubis	A	7	4–3	57%	0.01
dust2	D	6	2–4	33%	0.01
cache	—	2	1–1	50%	0.05
vertigo	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,813Lifetime kills

1.15K/D · Top 50% of tracked players

2,773Matches

43.5%Match win rate

31.9%Headshot %

14.7%Shot accuracy · Top 50% of tracked players

6,450MVPs

1,191Hours (in match)

3,023Bombs planted

856Bombs defused

Most-used weapons

AWP19,117

AK-479,047

M4A4 / M4A1-S6,298

Desert Eagle4,603

P2000 / USP-S3,197

P2501,953

Glock-181,402

Galil AR1,205

XM10141,151

SG 553826

Lifetime map wins

5,662inferno

2,709dust2

2,370nuke

1,341vertigo

964train

401cbble

116office

35assault

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

Faceit stats

Combat

18Matches

44%Win rate

1.12Avg K/D

79.8ADR

32%Headshot %

Clutches & streaks

0%1v1 clutch win

22%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	0%	0.80	13.3
Ancient	2	50%	0.84	14.5
Inferno	2	50%	1.04	15.0
Mirage	1	0%	1.40	21.0
Nuke	1	100%	1.43	10.0

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.

18.2%Headshot accuracy

38.6%Accuracy (enemy spotted)

38.5%Spray accuracy

80.9%Counter-strafing

10.6°Preaim

651msReaction time

41.5%T opening success

44.9%CT opening success

0.78Enemies flashed / flash

6.6%Flash assists

8.34HE damage / grenade

7.86Flashes / match

Recommended for you

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.

18% win rate across 11 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	13–11	0.06	21%	9 Jul →
cache	13–11	0.10	26%	3 Jul →
anubis	13–11	-0.02	16%	3 Jul →
inferno	13–11	-0.05	14%	3 Jul →
overpass	13–10	0.06	13%	3 Jul →
ancient	12–12	-0.01	19%	3 Jul →
train	9–13	-0.03	33%	3 Jul →
anubis	8–13	-0.04	14%	2 Jul →
mirage	10–13	-0.02	17%	2 Jul →
anubis	13–10	0.02	11%	1 Jul →
nuke	13–8	0.03	17%	1 Jul →
ancient	11–13	-0.01	12%	30 Jun →
overpass	3–13	-0.01	11%	26 Jun →
anubis	13–3	0.03	9%	26 Jun →
ancient	13–4	0.11	13%	26 Jun →
nuke	10–13	-0.08	17%	26 Jun →
mirage	14–16	-0.02	26%	26 Jun →
anubis	2–7	-0.01	17%	4 Jun →
inferno	9–13	0.02	15%	4 Jun →
nuke	4–13	0.02	28%	31 May →
anubis	4–13	0.03	22%	31 May →
overpass	15–15	0.03	15%	31 May →
mirage	13–9	-0.05	23%	28 May →
inferno	6–13	-0.09	29%	27 May →
mirage	13–7	0.04	14%	25 May →
overpass	16–14	-0.01	9%	25 May →
ancient	13–8	0.17	22%	25 May →
anubis	13–11	0.06	13%	24 May →
mirage	6–13	0.01	25%	24 May →
cache	12–12	-0.00	25%	9 May →
overpass	13–8	0.03	27%	27 Jan →
train	5–13	-0.02	18%	15 Jan →
dust2	11–13	0.06	17%	15 Jan →
overpass	8–13	0.03	23%	10 Jan →
nuke	10–1	0.03	33%	10 Jan →
ancient	16–13	0.08	17%	20 Dec →
inferno	5–13	-0.08	18%	20 Dec →
mirage	8–13	0.03	24%	20 Dec →
inferno	9–13	0.05	20%	22 Oct →
mirage	13–4	0.14	17%	22 Oct →
ancient	6–13	-0.04	8%	30 Sept →
mirage	7–13	0.04	28%	23 Sept →
train	13–6	0.00	17%	23 Sept →
mirage	13–10	-0.00	16%	22 Sept →
ancient	8–13	-0.03	22%	22 Sept →
dust2	13–9	0.09	29%	6 Sept →
train	2–11	-0.01	15%	5 Sept →
mirage	16–12	-0.03	14%	26 Aug →
overpass	13–8	0.11	25%	26 Aug →
train	13–5	0.08	30%	25 Aug →
overpass	8–13	0.01	37%	23 Aug →
inferno	11–13	-0.02	21%	23 Aug →
inferno	1–13	-0.04	28%	22 Aug →
ancient	11–13	-0.04	17%	22 Aug →
inferno	8–13	0.04	28%	22 Aug →
mirage	9–13	0.00	18%	22 Aug →
ancient	16–13	0.00	11%	22 Aug →
overpass	16–13	0.03	13%	21 Aug →
overpass	8–13	0.01	40%	21 Aug →
train	2–13	-0.06	31%	20 Aug →
overpass	7–13	-0.06	15%	19 Aug →
nuke	13–2	0.10	25%	19 Aug →
mirage	4–13	-0.04	12%	18 Aug →
train	13–7	0.04	39%	18 Aug →
ancient	13–9	0.05	16%	18 Aug →
nuke	9–13	-0.01	27%	18 Aug →
overpass	13–6	0.10	14%	18 Aug →
dust2	12–12	0.02	19%	17 Aug →
inferno	11–13	0.01	0%	17 Aug →
train	13–4	0.07	30%	17 Aug →
mirage	9–13	-0.01	14%	17 Aug →
ancient	13–11	0.00	19%	17 Aug →
nuke	13–10	-0.02	12%	17 Aug →
train	12–12	-0.03	31%	16 Aug →
nuke	13–5	-0.07	20%	16 Aug →
mirage	13–8	-0.01	16%	16 Aug →
dust2	13–10	0.04	26%	16 Aug →
train	12–12	0.07	16%	15 Aug →
overpass	11–13	-0.03	18%	15 Aug →
nuke	11–13	-0.01	18%	15 Aug →
inferno	10–13	0.08	8%	15 Aug →
mirage	9–13	0.01	9%	13 Aug →
nuke	13–5	-0.05	12%	13 Aug →
mirage	3–13	-0.02	31%	13 Aug →
dust2	8–13	-0.08	24%	7 Aug →
inferno	13–1	0.15	44%	7 Aug →
ancient	7–13	-0.00	18%	7 Aug →
overpass	13–2	0.12	28%	7 Aug →
nuke	13–10	-0.00	20%	7 Aug →
nuke	3–13	-0.01	19%	5 Aug →
ancient	13–11	-0.01	15%	5 Aug →
mirage	5–13	-0.05	18%	4 Aug →
nuke	13–2	0.04	30%	4 Aug →
train	16–13	0.00	15%	4 Aug →
overpass	4–13	-0.08	11%	4 Aug →
vertigo	12–12	0.01	22%	3 Aug →
mirage	11–13	0.03	28%	2 Aug →
mirage	7–13	-0.06	32%	2 Aug →
ancient	13–4	-0.00	14%	2 Aug →
dust2	5–13	-0.06	16%	2 Aug →