knit — CS2 Stats

76561198081729817[U:1:121464089]Steam profile ↗✓ No bans

321Tracked matches43%Win rate2020Tracked since

575Hours in CS

CSDB Rating4.3 Developing

Ladder ranks via Leetify

Performance scores

Aim43

Positioning41

Utility67

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateWWLLLLWLLL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim4.3

Aggression3.4

Utility6.7

Positioning4.1

Opening Duels0.0

Clutch0.0

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 76% 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

T-side openings. Opening success drops from 40% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 660ms 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

Aim4.3

Positioning4.1

Utility6.7

Mechanics5.4

Opening Duels1.2

Win Impact2.8

Composite 4.3/10 (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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time660ms+38ms

first ⅓ avg 622ms → last ⅓ avg 660ms

Headshot accuracy20.3%+2.1%

first ⅓ avg 18.2% → last ⅓ avg 20.3%

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

0.10Best rating — mirage 13–3

13–1Biggest win — dust2

6Longest win streak

W2Current streak

13–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 67% over 12infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	40	21–19	53%	0.02
mirage	C	23	9–14	39%	-0.01
ancient	S	12	8–4	67%	0.01
nuke	A	11	6–5	55%	-0.02
overpass	A	7	4–3	57%	-0.02
inferno	D	5	1–4	20%	-0.02
cache	—	2	0–2	0%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,997Lifetime kills

0.94K/D

1,337Matches

47.3%Match win rate · Top 50% of tracked players

38.1%Headshot %

12.8%Shot accuracy · Top 50% of tracked players

2,757MVPs

575Hours (in match)

1,061Bombs planted

237Bombs defused

Most-used weapons

AK-476,019

AWP4,585

M4A4 / M4A1-S2,955

P2000 / USP-S1,497

SSG 081,291

P90955

Glock-18879

UMP-45770

XM1014698

Desert Eagle616

Lifetime map wins

6,475dust2

617inferno

453nuke

186vertigo

103cbble

57train

50italy

25aztec

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

Faceit stats

Combat

29Matches

66%Win rate

1.08Avg K/D

80.2ADR

51%Headshot %

Clutches & streaks

20%1v1 clutch win

50%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	12	67%	1.26	16.5
Mirage	6	83%	1.10	19.7
Nuke	4	50%	0.76	9.8
Inferno	4	25%	0.94	14.8
Ancient	2	100%	1.02	19.5
Overpass	1	100%	0.63	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.

19.5%Headshot accuracy

31.1%Accuracy (enemy spotted)

32.1%Spray accuracy

74.2%Counter-strafing

12.2°Preaim

660msReaction time

17.8%T opening success

40.0%CT opening success

0.71Enemies flashed / flash

11.7%Flash assists

7.73HE damage / grenade

20.70Flashes / 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 12.2131° — above the 12° mark we flag
Aim Training →

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.

20% 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	13–6	0.04	23%	24 Jul →
mirage	13–10	0.00	20%	24 Jun →
dust2	9–13	-0.05	37%	5 Jun →
dust2	2–13	-0.01	36%	1 Jun →
dust2	10–13	-0.02	14%	25 May →
dust2	8–13	0.08	19%	25 May →
ancient	13–6	-0.01	21%	23 May →
inferno	11–13	-0.06	22%	23 May →
ancient	9–13	-0.02	14%	22 May →
mirage	7–13	-0.04	16%	22 May →
overpass	16–14	0.01	17%	21 May →
dust2	13–11	0.02	39%	21 May →
mirage	7–13	-0.06	13%	21 May →
cache	8–13	-0.08	16%	17 May →
cache	5–13	-0.08	17%	8 May →
dust2	9–13	0.03	22%	5 May →
mirage	16–14	0.01	22%	2 May →
dust2	13–1	0.02	34%	30 Apr →
ancient	13–10	0.06	29%	29 Apr →
overpass	9–13	-0.04	10%	22 Apr →
dust2	7–5	0.03	26%	22 Apr →
dust2	5–13	-0.04	9%	21 Apr →
dust2	1–13	-0.03	19%	21 Apr →
overpass	13–5	-0.02	13%	21 Apr →
overpass	3–13	-0.03	14%	18 Apr →
dust2	5–13	-0.07	15%	18 Apr →
ancient	13–8	0.02	22%	7 Apr →
dust2	8–13	-0.04	9%	4 Apr →
mirage	13–6	-0.02	9%	4 Apr →
nuke	13–11	-0.01	13%	4 Apr →
dust2	13–11	0.04	24%	4 Apr →
mirage	13–3	0.10	30%	20 Mar →
inferno	8–13	-0.02	26%	19 Mar →
dust2	12–16	0.04	16%	18 Mar →
dust2	13–3	0.04	26%	18 Mar →
mirage	13–10	0.01	19%	18 Mar →
dust2	13–5	0.03	19%	10 Mar →
mirage	19–15	-0.05	12%	4 Mar →
overpass	13–9	-0.02	18%	3 Mar →
ancient	1–13	-0.10	11%	3 Mar →
dust2	13–4	0.07	22%	3 Mar →
dust2	10–13	0.01	14%	2 Mar →
dust2	14–16	-0.01	14%	1 Mar →
dust2	3–13	-0.05	23%	28 Feb →
dust2	13–6	0.04	15%	27 Feb →
dust2	13–5	0.06	22%	27 Feb →
inferno	13–11	-0.00	35%	27 Feb →
mirage	11–13	-0.02	19%	26 Feb →
dust2	13–9	0.05	19%	26 Feb →
dust2	10–13	0.01	19%	26 Feb →
dust2	13–11	-0.04	14%	25 Feb →
nuke	13–5	-0.05	27%	25 Feb →
dust2	13–11	-0.03	22%	25 Feb →
mirage	16–13	0.03	18%	24 Feb →
dust2	13–5	0.00	17%	24 Feb →
ancient	13–9	-0.01	16%	24 Feb →
ancient	14–16	0.03	14%	20 Feb →
inferno	10–13	-0.04	19%	20 Feb →
mirage	9–13	0.00	32%	20 Feb →
nuke	11–13	-0.08	27%	20 Feb →
inferno	6–13	0.01	26%	20 Feb →
nuke	13–2	0.02	15%	20 Feb →
ancient	13–8	0.05	22%	19 Feb →
dust2	9–13	0.05	19%	19 Feb →
dust2	12–12	0.04	23%	18 Feb →
dust2	11–13	0.03	20%	18 Feb →
nuke	5–13	-0.04	12%	18 Feb →
dust2	16–12	0.03	13%	18 Feb →
mirage	7–13	-0.01	35%	15 Feb →
nuke	13–11	-0.06	9%	13 Feb →
dust2	13–4	0.05	38%	13 Feb →
mirage	7–13	-0.06	7%	13 Feb →
ancient	13–4	0.06	17%	12 Feb →
mirage	8–13	-0.06	14%	12 Feb →
overpass	13–11	-0.01	18%	12 Feb →
dust2	5–13	0.02	11%	12 Feb →
ancient	13–16	0.04	23%	11 Feb →
mirage	10–13	-0.03	8%	11 Feb →
dust2	13–7	0.01	21%	11 Feb →
mirage	5–13	-0.04	19%	9 Feb →
overpass	11–13	-0.02	10%	8 Feb →
dust2	13–10	0.07	22%	8 Feb →
dust2	13–8	0.07	20%	7 Feb →
mirage	7–13	-0.00	14%	7 Feb →
dust2	13–10	0.02	13%	7 Feb →
nuke	3–13	0.01	19%	7 Feb →
mirage	13–2	0.06	41%	6 Feb →
dust2	13–11	0.05	21%	5 Feb →
mirage	15–15	0.08	26%	5 Feb →
nuke	13–10	0.01	26%	4 Feb →
mirage	5–13	-0.07	17%	4 Feb →
mirage	11–13	0.02	16%	4 Feb →
mirage	7–13	-0.05	7%	2 Feb →
nuke	6–13	-0.07	16%	2 Feb →
dust2	7–13	0.01	18%	1 Feb →
nuke	11–13	0.05	19%	1 Feb →
ancient	13–11	0.02	14%	30 Jan →
ancient	13–6	0.04	17%	30 Jan →
mirage	13–9	0.01	14%	29 Jan →
nuke	16–13	0.01	18%	29 Jan →