Guess who’s back — CS2 Stats

CZ76561198437801733[U:1:477536005]Steam profile ↗✓ No bans

2,099Tracked matches59%Win rate2020Tracked since

4,689Hours in CS

CSDB Rating6.9 SolidHybrid Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim84

Positioning55

Utility63

0–100 skill scores via Leetify.

Recent form

HOT49–46–5Last 10049%Win rateWWWLWWLWLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.4

Aggression5.9

Utility6.3

Positioning5.5

Opening Duels2.6

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 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 59% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms 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

Aim8.4

Positioning5.5

Utility6.3

Mechanics6.8

Opening Duels3.6

Win Impact7.9

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time576ms+36ms

first ⅓ avg 540ms → last ⅓ avg 576ms

Headshot accuracy27.4%+4.2%

first ⅓ avg 23.2% → last ⅓ avg 27.4%

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

0.25Best rating — overpass 9–3

13–0Biggest win — ancient

5Longest win streak

W3Current streak

6–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 69% over 16mirageWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	20	7–13	35%	0.03
ancient	C	17	6–11	35%	0.01
dust2	B	17	9–8	53%	0.01
inferno	S	16	11–5	69%	0.03
anubis	A	9	5–4	56%	0.05
cache	A	7	4–3	57%	0.05
nuke	C	7	3–4	43%	0.01
overpass	—	4	3–1	75%	0.10
office	—	1	0–1	0%	-0.05
vertigo	—	1	0–1	0%	0.07
train	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

257,397Lifetime kills

1.18K/D · Top 25% of tracked players

9,857Matches

46.4%Match win rate · Top 50% of tracked players

50.6%Headshot % · Top 25% of tracked players

13.7%Shot accuracy · Top 50% of tracked players

41,422MVPs

4,689Hours (in match)

5,264Bombs planted

6,193Bombs defused

Most-used weapons

AK-4792,457

M4A4 / M4A1-S45,933

AWP38,665

Desert Eagle21,057

P2000 / USP-S15,512

Glock-188,616

Knife5,041

Galil AR3,238

SSG 082,523

FAMAS2,435

Lifetime map wins

21,379inferno

11,414vertigo

10,898dust2

6,412nuke

2,052train

568cbble

82lake

29office

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

Faceit stats

Combat

2,531Matches

52%Win rate

1.12Avg K/D

79.7ADR

50%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	292	56%	1.06	16.1
Ancient	244	50%	1.02	15.2
Anubis	157	47%	1.03	15.5
Inferno	122	48%	1.03	15.7
Vertigo	74	49%	1.00	15.7
Nuke	73	59%	1.24	15.6
Dust2	57	49%	0.96	14.3
Overpass	15	33%	0.83	13.8

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.

25.5%Headshot accuracy

36.6%Accuracy (enemy spotted)

38.1%Spray accuracy

80.6%Counter-strafing

9.3°Preaim

566msReaction time

21.3%T opening success

59.2%CT opening success

0.49Enemies flashed / flash

9.5%Flash assists

10.05HE damage / grenade

13.59Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4906 — below the 0.5 mark we flag
Grenade Lineups →
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 21.3309% — below the 40% mark we flag

Spend your practice time on Mirage

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	16–12	0.06	33%	10 Aug →
inferno	13–10	0.02	13%	28 Jul →
inferno	16–14	0.02	17%	27 Jul →
inferno	7–13	-0.08	28%	26 Jul →
inferno	13–5	-0.01	38%	26 Jul →
ancient	13–0	0.07	32%	26 Jul →
mirage	8–13	-0.06	10%	22 Jul →
cache	13–2	0.06	19%	21 Jul →
mirage	7–13	0.06	41%	21 Jul →
cache	13–10	0.03	27%	21 Jul →
mirage	13–2	0.15	42%	21 Jul →
inferno	13–6	0.06	29%	21 Jul →
ancient	9–13	0.01	30%	21 Jul →
ancient	11–13	0.10	28%	19 Jul →
dust2	13–7	-0.00	14%	19 Jul →
inferno	13–16	-0.07	18%	17 Jul →
anubis	13–6	-0.02	12%	17 Jul →
mirage	11–13	0.06	32%	24 Jun →
nuke	10–13	0.01	26%	22 Jun →
ancient	10–13	-0.06	13%	21 Jun →
mirage	13–3	0.01	27%	17 Jun →
ancient	11–13	-0.02	33%	11 Jun →
ancient	4–13	0.00	38%	9 Jun →
inferno	13–8	0.01	26%	8 Jun →
inferno	13–11	0.00	26%	6 Jun →
dust2	13–10	0.06	22%	6 Jun →
dust2	13–10	0.00	39%	4 Jun →
dust2	13–5	0.02	22%	4 Jun →
dust2	15–15	-0.03	9%	1 Jun →
dust2	1–5	-0.04	80%	27 May →
nuke	13–8	0.14	28%	27 May →
ancient	13–11	0.03	26%	27 May →
mirage	1–13	-0.02	26%	26 May →
inferno	8–8	0.09	52%	25 May →
inferno	13–10	0.19	32%	21 May →
inferno	12–12	0.08	26%	20 May →
dust2	7–13	0.08	27%	16 May →
cache	13–11	0.07	22%	14 May →
office	5–13	-0.05	44%	14 May →
cache	6–13	-0.06	34%	13 May →
anubis	4–13	0.04	24%	13 May →
mirage	13–10	0.04	15%	10 May →
anubis	13–5	0.06	28%	8 May →
ancient	3–13	-0.04	6%	8 May →
cache	11–13	0.08	22%	5 May →
inferno	4–13	0.05	22%	3 May →
cache	13–6	0.14	36%	3 May →
cache	7–13	0.00	7%	29 Apr →
vertigo	8–13	0.07	47%	22 Apr →
mirage	11–13	0.09	24%	20 Apr →
anubis	7–13	0.11	20%	16 Apr →
mirage	13–9	-0.06	25%	16 Apr →
dust2	3–13	0.06	27%	13 Apr →
mirage	11–13	0.00	13%	12 Apr →
mirage	5–13	0.02	33%	9 Apr →
dust2	4–13	-0.08	13%	8 Apr →
ancient	7–13	-0.03	26%	6 Apr →
ancient	14–16	-0.00	21%	31 Mar →
anubis	13–8	-0.01	23%	27 Mar →
mirage	2–13	-0.02	19%	27 Mar →
nuke	0–5	-0.04	50%	27 Mar →
mirage	10–13	0.12	22%	27 Mar →
mirage	13–8	0.05	19%	27 Mar →
mirage	13–10	0.06	25%	26 Mar →
nuke	13–3	-0.06	8%	23 Mar →
nuke	13–5	-0.04	32%	23 Mar →
ancient	11–13	0.01	20%	23 Mar →
mirage	13–16	-0.06	14%	23 Mar →
anubis	13–0	0.08	31%	21 Mar →
overpass	9–3	0.25	21%	28 Feb →
ancient	13–10	0.03	25%	9 Feb →
dust2	16–14	0.05	31%	7 Feb →
inferno	13–2	0.08	28%	30 Jan →
mirage	11–13	0.02	22%	28 Jan →
ancient	13–4	0.02	22%	24 Jan →
mirage	14–16	0.07	16%	23 Jan →
nuke	7–13	-0.04	23%	22 Jan →
mirage	13–16	0.00	24%	22 Jan →
anubis	13–5	0.04	31%	22 Jan →
dust2	10–3	-0.02	16%	22 Jan →
dust2	5–13	-0.02	20%	18 Jan →
overpass	10–13	-0.01	30%	18 Jan →
dust2	13–10	0.04	19%	17 Jan →
overpass	13–2	0.09	24%	17 Jan →
ancient	16–14	0.01	21%	17 Jan →
inferno	10–3	-0.01	17%	17 Jan →
ancient	5–13	0.02	27%	16 Jan →
anubis	12–12	0.13	24%	15 Jan →
ancient	11–13	0.02	17%	15 Jan →
overpass	13–10	0.08	23%	14 Dec →
nuke	8–13	0.07	25%	14 Dec →
anubis	12–12	0.02	20%	3 Dec →
inferno	13–6	0.01	22%	26 Nov →
dust2	12–16	-0.05	28%	24 Nov →
mirage	13–9	0.08	29%	19 Nov →
train	13–6	-0.04	18%	18 Nov →
inferno	13–9	0.10	28%	12 Nov →
dust2	13–10	0.03	24%	8 Nov →
dust2	9–13	0.09	30%	5 Nov →
dust2	13–9	0.04	14%	2 Nov →