KNASIG — CS2 Stats

SE76561198295364286[U:1:335098558]Steam profile ↗✓ No bans

1,314Tracked matches70%Win rate2024Tracked since

2,901Hours in CS19Hrs last 2 wks

CSDB Rating5.0 Developing

Premier CS Rating8,454Light Blue band · top ~62.3% of ranked players (population est.)

CSDB Leaderboard#15792 of 21096 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim55

Positioning51

Utility45

0–100 skill scores via Leetify.

Recent form

HOT47–50–3Last 10047%Win rateLWWWWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim5.5

Aggression6.5

Utility4.5

Positioning5.1

Opening Duels3.5

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 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim5.5

Positioning5.1

Utility4.5

Mechanics6.0

Opening Duels3.5

Win Impact10.0

Composite 5.0/10 (Developing), 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-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time632ms−10ms

first ⅓ avg 643ms → last ⅓ avg 632ms

Headshot accuracy19.5%−0.6%

first ⅓ avg 20.1% → last ⅓ avg 19.5%

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

0.09Best rating — cache 15–15

13–1Biggest win — mirage

5Longest win streak

7–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	12–13	48%	-0.02
cache	B	15	8–7	53%	-0.02
ancient	D	14	4–10	29%	-0.01
vertigo	C	11	4–7	36%	-0.04
inferno	B	10	5–5	50%	-0.02
nuke	C	8	3–5	38%	-0.05
anubis	S	7	5–2	71%	-0.02
dust2	A	7	4–3	57%	-0.00
train	—	2	2–0	100%	0.02
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,516Lifetime kills

0.79K/D

2,312Matches

44.2%Match win rate

44.9%Headshot %

0.8%Shot accuracy

4,193MVPs

968Hours (in match)

1,999Bombs planted

463Bombs defused

Most-used weapons

AK-4711,103

M4A4 / M4A1-S6,654

AWP6,251

Desert Eagle3,893

P2000 / USP-S1,958

MP91,074

Knife1,030

Glock-18962

MAC-10855

SSG 08795

Lifetime map wins

3,062dust2

2,820vertigo

2,293inferno

2,063nuke

262train

37office

26italy

14lake

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

Faceit stats

Combat

129Matches

46%Win rate

0.97Avg K/D

77.3ADR

45%Headshot %

Clutches & streaks

31%1v1 clutch win

17%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	36	47%	0.98	14.3
Dust2	21	33%	0.87	13.4
Nuke	19	47%	0.90	14.7
Cache	15	53%	1.16	18.2
Ancient	13	54%	1.18	11.6
Inferno	11	55%	0.84	14.6
Anubis	10	40%	0.95	18.7
Overpass	4	25%	0.83	13.0

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.

18.9%Headshot accuracy

31.9%Accuracy (enemy spotted)

36.0%Spray accuracy

77.1%Counter-strafing

11.6°Preaim

618msReaction time

35.3%T opening success

52.9%CT opening success

0.43Enemies flashed / flash

7.4%Flash assists

6.79HE damage / grenade

8.50Flashes / 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 0.433 — 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 35.3088% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	9–13	-0.07	26%	28 Aug →
cache	13–9	-0.05	27%	27 Aug →
ancient	13–5	0.03	18%	27 Aug →
ancient	13–11	-0.04	19%	27 Aug →
vertigo	13–9	-0.02	25%	27 Aug →
mirage	17–19	-0.03	5%	26 Aug →
vertigo	13–10	-0.03	20%	26 Aug →
mirage	12–16	-0.07	15%	25 Aug →
mirage	13–1	0.04	23%	25 Aug →
mirage	13–8	0.03	37%	25 Aug →
cache	3–13	-0.11	0%	18 Aug →
nuke	13–4	0.01	9%	18 Aug →
ancient	11–13	-0.00	23%	18 Aug →
inferno	13–5	-0.03	24%	18 Aug →
inferno	11–13	0.04	28%	18 Aug →
vertigo	19–17	-0.07	11%	18 Aug →
inferno	13–7	-0.05	8%	18 Aug →
cache	13–9	-0.04	20%	17 Aug →
mirage	8–13	-0.02	17%	17 Aug →
ancient	7–13	-0.06	17%	17 Aug →
inferno	6–1	0.02	26%	16 Aug →
anubis	13–10	0.08	17%	16 Aug →
ancient	13–4	0.00	33%	16 Aug →
ancient	13–4	0.05	27%	15 Aug →
inferno	13–11	-0.03	17%	15 Aug →
nuke	4–13	-0.05	35%	14 Aug →
cache	13–8	-0.02	10%	14 Aug →
vertigo	13–5	-0.01	18%	14 Aug →
train	13–10	-0.01	15%	14 Aug →
train	16–13	0.04	15%	14 Aug →
inferno	16–14	0.07	26%	14 Aug →
mirage	17–19	-0.03	21%	14 Aug →
mirage	11–13	0.00	11%	14 Aug →
vertigo	7–13	-0.01	21%	14 Aug →
anubis	13–8	0.04	17%	14 Aug →
mirage	13–5	-0.02	17%	13 Aug →
mirage	5–13	-0.04	18%	13 Aug →
nuke	13–5	0.01	8%	13 Aug →
ancient	9–13	0.03	17%	13 Aug →
vertigo	2–13	-0.04	17%	13 Aug →
vertigo	2–13	-0.09	21%	13 Aug →
ancient	9–13	-0.01	18%	12 Aug →
anubis	13–10	-0.04	32%	12 Aug →
cache	4–13	-0.08	18%	12 Aug →
dust2	13–4	-0.01	18%	12 Aug →
ancient	11–13	-0.02	17%	12 Aug →
mirage	4–13	-0.06	24%	12 Aug →
vertigo	7–13	-0.00	23%	11 Aug →
nuke	3–13	-0.08	10%	10 Aug →
mirage	3–13	-0.08	14%	10 Aug →
mirage	12–12	-0.05	15%	10 Aug →
nuke	13–5	-0.05	50%	10 Aug →
mirage	13–9	-0.02	8%	10 Aug →
cache	16–13	-0.04	26%	10 Aug →
cache	15–15	0.09	30%	11 Jul →
mirage	13–7	0.06	29%	11 Jul →
cache	13–8	-0.04	29%	11 Jul →
mirage	5–13	-0.11	20%	11 Jul →
dust2	13–11	-0.05	9%	10 Jul →
inferno	5–13	-0.04	35%	10 Jul →
nuke	10–13	-0.07	21%	10 Jul →
dust2	15–15	0.04	25%	10 Jul →
mirage	13–2	-0.04	26%	10 Jul →
mirage	13–10	-0.01	20%	10 Jul →
mirage	6–13	0.01	15%	9 Jul →
ancient	11–13	-0.09	3%	9 Jul →
mirage	13–5	0.05	28%	9 Jul →
mirage	7–13	0.07	15%	9 Jul →
dust2	13–11	0.02	19%	9 Jul →
dust2	8–13	0.04	20%	9 Jul →
cache	8–13	-0.06	21%	9 Jul →
ancient	9–13	0.06	17%	9 Jul →
cache	4–13	-0.02	28%	9 Jul →
mirage	16–14	0.04	20%	9 Jul →
cache	13–9	0.05	17%	8 Jul →
vertigo	6–13	-0.02	21%	8 Jul →
anubis	13–7	-0.01	46%	8 Jul →
cache	13–8	0.05	27%	7 Jul →
vertigo	6–13	-0.10	11%	7 Jul →
ancient	9–13	-0.03	26%	7 Jul →
anubis	6–13	-0.05	36%	7 Jul →
inferno	7–13	-0.06	25%	7 Jul →
cache	13–9	-0.01	29%	7 Jul →
nuke	11–13	-0.11	10%	7 Jul →
inferno	6–13	-0.05	26%	7 Jul →
mirage	7–13	-0.06	13%	7 Jul →
ancient	10–13	0.01	36%	7 Jul →
dust2	13–5	0.04	4%	7 Jul →
mirage	13–10	-0.03	14%	7 Jul →
vertigo	10–13	-0.05	19%	7 Jul →
dust2	5–13	-0.08	19%	7 Jul →
mirage	16–12	-0.01	22%	7 Jul →
cache	4–13	0.03	19%	7 Jul →
ancient	5–13	-0.05	10%	7 Jul →
overpass	17–19	-0.02	14%	6 Jul →
inferno	10–13	-0.08	8%	6 Jul →
anubis	13–10	-0.06	19%	6 Jul →
cache	11–13	-0.04	19%	6 Jul →
mirage	13–7	-0.03	8%	6 Jul →
nuke	11–13	-0.04	26%	6 Jul →