Disfig — CS2 Stats

US76561198082181095[U:1:121915367]Steam profile ↗

1,373Tracked matches45%Win rate2023Tracked since

1,863Hours in CS12Hrs last 2 wks

CSDB Rating4.6 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning47

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY39–47–14Last 10039%Win rateWWLLWLWLLW

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Aim4.5

Aggression6.3

Utility6.1

Positioning4.7

Opening Duels2.3

Clutch4.4

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 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 652ms 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

Aim4.5

Positioning4.7

Utility6.1

Mechanics5.7

Opening Duels2.3

Win Impact3.5

Composite 4.6/10 (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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time626ms+9ms

first ⅓ avg 617ms → last ⅓ avg 626ms

Headshot accuracy19.2%−0.1%

first ⅓ avg 19.2% → 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

0.20Best rating — inferno 8–8

13–2Biggest win — ancient

4Longest win streak

W2Current streak

9–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 83% over 6trainWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	19	5–14	26%	-0.02
nuke	D	18	6–12	33%	-0.02
inferno	B	15	8–7	53%	0.01
vertigo	D	13	4–9	31%	-0.03
dust2	D	9	2–7	22%	-0.01
mirage	A	7	4–3	57%	-0.00
ancient	S	6	5–1	83%	0.00
train	D	5	0–5	0%	-0.01
anubis	C	5	2–3	40%	0.02
office	—	2	2–0	100%	-0.02
eldorado	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Lifetime stats

61,328Lifetime kills

0.95K/D

3,747Matches

28.4%Match win rate

49.3%Headshot % · Top 50% of tracked players

0.5%Shot accuracy

4,614MVPs

1,154Hours (in match)

2,471Bombs planted

495Bombs defused

Most-used weapons

AK-4719,479

M4A4 / M4A1-S7,789

AWP6,490

Desert Eagle2,202

P2000 / USP-S2,179

Galil AR1,850

XM10141,773

P901,471

Glock-181,432

Negev1,298

Lifetime map wins

3,643dust2

2,405nuke

2,127vertigo

1,977inferno

797train

154office

79cbble

35ar_shoots

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

Faceit stats

Combat

24Matches

33%Win rate

0.93Avg K/D

68.2ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

22%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	6	83%	1.57	14.7
Nuke	4	25%	0.94	15.8
Inferno	4	0%	0.70	10.5
Mirage	3	33%	0.63	9.0
Ancient	3	33%	0.76	12.0
Vertigo	3	0%	0.51	10.0
Train	1	0%	0.73	11.0

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.

18.1%Headshot accuracy

31.0%Accuracy (enemy spotted)

35.3%Spray accuracy

75.5%Counter-strafing

12.5°Preaim

652msReaction time

33.1%T opening success

45.0%CT opening success

0.52Enemies flashed / flash

5.8%Flash assists

7.33HE damage / grenade

14.58Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4868° — above the 12° mark we flag
Aim Training →

Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	16–13	0.04	12%	28 Aug →
nuke	13–7	0.00	10%	27 Aug →
dust2	8–13	-0.09	11%	25 Aug →
inferno	3–9	-0.11	12%	24 Aug →
ancient	16–12	-0.00	22%	20 Aug →
cache	1–13	-0.05	13%	19 Aug →
inferno	9–7	0.03	17%	19 Aug →
vertigo	3–13	-0.06	15%	18 Aug →
vertigo	7–9	-0.08	13%	18 Aug →
inferno	13–7	-0.02	12%	18 Aug →
inferno	9–4	0.05	20%	18 Aug →
train	12–12	0.00	35%	17 Aug →
inferno	6–13	-0.02	18%	16 Aug →
dust2	5–13	-0.04	17%	15 Aug →
dust2	13–10	-0.01	17%	15 Aug →
vertigo	8–8	0.05	29%	14 Aug →
inferno	9–6	0.12	24%	14 Aug →
nuke	1–9	-0.12	33%	14 Aug →
nuke	13–9	-0.04	21%	13 Aug →
mirage	13–3	0.11	21%	12 Aug →
nuke	12–12	-0.02	18%	11 Aug →
nuke	12–12	0.10	24%	11 Aug →
cache	12–12	0.01	11%	9 Aug →
nuke	12–12	-0.05	23%	1 Aug →
cache	12–12	-0.00	32%	31 Jul →
vertigo	11–13	-0.01	24%	30 Jul →
vertigo	10–13	0.03	19%	29 Jul →
vertigo	8–13	-0.04	12%	27 Jul →
nuke	12–12	-0.04	17%	26 Jul →
vertigo	13–11	-0.06	12%	26 Jul →
mirage	10–4	0.01	29%	26 Jul →
dust2	1–13	-0.02	20%	26 Jul →
cache	3–13	-0.07	21%	26 Jul →
anubis	7–13	0.02	12%	26 Jul →
inferno	9–7	-0.10	15%	25 Jul →
vertigo	9–6	0.08	21%	25 Jul →
train	3–13	0.02	4%	25 Jul →
eldorado	9–5	0.04	25%	25 Jul →
dust2	12–12	0.05	22%	24 Jul →
cache	13–4	0.02	15%	24 Jul →
ancient	13–11	-0.02	13%	24 Jul →
anubis	13–4	0.03	8%	24 Jul →
vertigo	13–5	0.08	7%	23 Jul →
inferno	4–9	-0.14	14%	23 Jul →
cache	5–13	0.02	10%	23 Jul →
anubis	13–11	0.09	17%	22 Jul →
anubis	6–13	-0.02	10%	22 Jul →
nuke	13–8	0.08	13%	19 Jul →
inferno	8–8	-0.05	10%	19 Jul →
vertigo	2–9	-0.17	11%	19 Jul →
nuke	11–13	0.02	14%	19 Jul →
cache	9–13	0.01	19%	18 Jul →
nuke	8–8	-0.00	19%	18 Jul →
nuke	13–11	0.04	25%	17 Jul →
dust2	13–7	-0.02	24%	17 Jul →
vertigo	11–13	-0.05	13%	14 Jul →
ancient	13–2	0.07	11%	14 Jul →
cache	0–6	-0.06	18%	14 Jul →
nuke	10–13	-0.01	28%	12 Jul →
cache	13–5	-0.01	20%	12 Jul →
cache	10–13	-0.03	8%	12 Jul →
ancient	13–7	0.04	18%	12 Jul →
vertigo	13–9	-0.03	29%	12 Jul →
mirage	13–3	-0.03	19%	12 Jul →
inferno	9–7	0.09	16%	11 Jul →
cache	5–13	-0.06	17%	11 Jul →
inferno	8–8	0.20	13%	11 Jul →
nuke	5–13	-0.02	16%	11 Jul →
anubis	10–13	-0.04	13%	11 Jul →
office	13–9	-0.03	21%	10 Jul →
cache	13–11	0.01	29%	9 Jul →
office	13–5	-0.02	26%	8 Jul →
dust2	11–13	0.01	18%	6 Jul →
inferno	2–13	-0.02	29%	6 Jul →
cache	12–12	-0.08	17%	5 Jul →
mirage	5–13	-0.02	31%	5 Jul →
train	9–13	0.02	32%	5 Jul →
dust2	4–13	0.02	29%	3 Jul →
inferno	7–13	0.04	13%	3 Jul →
train	7–13	-0.08	15%	3 Jul →
nuke	8–13	-0.06	12%	3 Jul →
cache	13–11	-0.03	27%	2 Jul →
cache	1–13	-0.03	20%	1 Jul →
cache	6–13	-0.02	19%	1 Jul →
nuke	2–13	-0.01	24%	28 Jun →
cache	7–13	0.06	15%	28 Jun →
inferno	13–5	0.04	13%	28 Jun →
nuke	13–8	-0.09	13%	27 Jun →
train	8–13	-0.02	17%	27 Jun →
mirage	6–13	-0.05	22%	27 Jun →
inferno	13–10	-0.01	24%	27 Jun →
cache	7–13	-0.06	13%	27 Jun →
ancient	10–13	-0.00	8%	26 Jun →
cache	13–6	-0.02	22%	26 Jun →
vertigo	5–13	-0.10	21%	25 Jun →
nuke	12–12	-0.03	25%	21 Jun →
nuke	13–8	-0.04	5%	20 Jun →
ancient	16–12	-0.06	12%	20 Jun →
mirage	11–13	-0.07	15%	20 Jun →
dust2	6–13	-0.01	16%	20 Jun →