kORNY — CS2 Stats

DE76561198139029273[U:1:178763545]Steam profile ↗✓ No bans

2,233Tracked matches44%Win rate2020Tracked since

6,133Hours in CS20Hrs last 2 wks

CSDB Rating4.6 Developing

Premier CS Rating18,569Purple band · top ~14.2% of ranked players (population est.)

CSDB Leaderboard#6693 of 12715 tracked

FaceitLevel 8 · 1,542 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning56

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY50–38–12Last 10050%Win rateLLLWWWLLTW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim4.5

Aggression6.7

Utility5.7

Positioning5.6

Opening Duels3.2

Clutch2.0

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 iM 85% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Positioning5.6

Utility5.7

Mechanics4.3

Opening Duels3.2

Win Impact3.1

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-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time617ms−26ms

first ⅓ avg 643ms → last ⅓ avg 617ms

Headshot accuracy13.8%−0.7%

first ⅓ avg 14.6% → last ⅓ avg 13.8%

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

0.12Best rating — overpass 9–6

13–0Biggest win — ancient

5Longest win streak

L3Current streak

12–5In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 75% over 8ancientWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	13–14	48%	0.00
inferno	A	19	11–8	58%	-0.01
ancient	D	14	4–10	29%	0.01
cache	C	10	4–6	40%	-0.02
anubis	S	8	6–2	75%	0.01
mirage	B	8	4–4	50%	-0.01
nuke	S	6	4–2	67%	0.01
overpass	A	5	3–2	60%	0.02
debris	—	2	0–2	0%	-0.07
office	—	1	1–0	100%	-0.10

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

247,238Lifetime kills

0.91K/D

10,293Matches

31.8%Match win rate

39.6%Headshot %

13.8%Shot accuracy · Top 50% of tracked players

18,471MVPs

4,965Hours (in match)

7,618Bombs planted

1,605Bombs defused

Most-used weapons

AK-4785,154

AWP52,410

M4A4 / M4A1-S32,723

Desert Eagle21,640

P2000 / USP-S11,392

Glock-185,685

Galil AR4,455

SSG 084,358

P2503,740

FAMAS3,476

Lifetime map wins

21,909dust2

14,789inferno

3,930nuke

1,386cbble

1,312vertigo

1,056lake

893train

97ar_shoots

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

Faceit stats

Combat

939Matches

50%Win rate

1.05Avg K/D

72.0ADR

32%Headshot %

Clutches & streaks

30%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	85	55%	1.07	14.9
Anubis	74	64%	1.11	15.2
Dust2	62	39%	0.94	13.9
Inferno	51	45%	1.06	13.8
Nuke	24	38%	0.94	13.9
Overpass	20	55%	0.95	15.3
Mirage	18	28%	0.87	12.6
Train	4	25%	1.02	12.3

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.

13.2%Headshot accuracy

31.6%Accuracy (enemy spotted)

30.5%Spray accuracy

69.4%Counter-strafing

8.9°Preaim

624msReaction time

38.1%T opening success

47.3%CT opening success

0.55Enemies flashed / flash

5.9%Flash assists

9.09HE damage / grenade

9.94Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.2479% — below the 15% mark we flag
Aim Training →
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 38.104% — 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
dust2	3–13	-0.08	13%	27 Aug →
debris	7–9	0.01	19%	24 Aug →
debris	3–9	-0.14	21%	24 Aug →
inferno	9–6	0.03	21%	24 Aug →
inferno	9–7	0.01	11%	24 Aug →
anubis	13–10	0.00	11%	23 Aug →
nuke	10–13	0.01	14%	16 Aug →
mirage	9–13	-0.06	17%	13 Aug →
ancient	15–15	0.01	14%	11 Aug →
anubis	13–3	0.05	22%	11 Aug →
mirage	13–8	0.01	8%	10 Aug →
dust2	22–20	0.02	13%	9 Aug →
anubis	13–11	0.02	19%	7 Aug →
inferno	13–11	-0.06	13%	5 Aug →
ancient	5–13	-0.00	20%	5 Aug →
dust2	5–13	0.01	22%	4 Aug →
mirage	15–15	-0.01	9%	4 Aug →
cache	13–7	0.10	16%	4 Aug →
dust2	13–11	0.07	18%	4 Aug →
cache	8–13	-0.05	11%	3 Aug →
ancient	4–13	-0.06	7%	3 Aug →
dust2	9–13	0.00	14%	2 Aug →
cache	13–10	0.02	12%	2 Aug →
ancient	10–13	-0.04	14%	1 Aug →
anubis	13–3	0.05	12%	1 Aug →
dust2	16–13	-0.01	7%	31 Jul →
dust2	9–13	-0.01	10%	31 Jul →
dust2	8–13	-0.03	6%	30 Jul →
cache	5–13	-0.09	7%	28 Jul →
ancient	13–0	0.08	10%	28 Jul →
dust2	11–13	0.01	24%	28 Jul →
ancient	10–13	0.01	10%	28 Jul →
dust2	14–16	-0.01	12%	28 Jul →
cache	15–15	-0.04	15%	27 Jul →
cache	8–13	-0.04	15%	24 Jul →
inferno	13–4	0.04	3%	24 Jul →
inferno	13–9	0.01	6%	24 Jul →
ancient	11–13	0.01	7%	24 Jul →
nuke	13–4	-0.04	2%	24 Jul →
mirage	13–7	0.05	7%	24 Jul →
ancient	9–13	0.06	7%	24 Jul →
dust2	15–15	0.00	22%	22 Jul →
dust2	14–16	0.02	14%	21 Jul →
dust2	13–7	0.09	22%	21 Jul →
ancient	15–15	-0.01	18%	20 Jul →
inferno	6–13	-0.04	17%	20 Jul →
mirage	13–7	0.06	13%	20 Jul →
nuke	9–13	-0.04	19%	20 Jul →
mirage	2–13	-0.10	9%	20 Jul →
nuke	13–4	0.10	18%	20 Jul →
nuke	13–11	0.01	20%	18 Jul →
dust2	10–13	-0.02	12%	18 Jul →
cache	8–13	-0.02	12%	18 Jul →
dust2	13–7	0.08	13%	18 Jul →
anubis	8–13	0.01	11%	18 Jul →
mirage	13–5	-0.01	14%	18 Jul →
anubis	13–9	-0.04	12%	16 Jul →
inferno	13–16	-0.05	15%	15 Jul →
dust2	13–5	0.02	8%	10 Jul →
dust2	13–5	0.02	22%	10 Jul →
anubis	13–10	0.01	12%	10 Jul →
cache	10–13	-0.01	30%	10 Jul →
cache	13–9	0.01	23%	8 Jul →
office	13–10	-0.10	10%	8 Jul →
ancient	10–13	-0.00	17%	5 Jul →
inferno	15–15	-0.04	13%	5 Jul →
ancient	16–14	0.04	15%	5 Jul →
anubis	6–13	0.01	29%	5 Jul →
dust2	9–13	-0.05	15%	30 Jun →
mirage	0–8	-0.01	0%	30 Jun →
dust2	13–11	-0.03	17%	30 Jun →
dust2	2–13	-0.10	21%	27 Jun →
inferno	5–13	-0.09	4%	26 Jun →
dust2	13–9	-0.04	13%	26 Jun →
dust2	13–16	-0.01	10%	26 Jun →
dust2	13–11	-0.03	10%	26 Jun →
inferno	13–3	0.03	15%	25 Jun →
nuke	13–11	0.01	11%	25 Jun →
dust2	13–5	0.07	12%	25 Jun →
overpass	8–8	-0.09	9%	24 Jun →
dust2	16–14	-0.01	9%	24 Jun →
ancient	13–6	0.01	23%	12 Jun →
cache	13–8	-0.05	9%	6 Jun →
ancient	8–13	-0.01	14%	6 Jun →
ancient	13–9	-0.03	14%	18 May →
dust2	13–7	0.04	10%	18 May →
inferno	9–5	0.05	12%	4 May →
overpass	8–8	0.00	18%	4 May →
inferno	9–6	0.06	18%	29 Apr →
inferno	9–6	-0.05	16%	25 Apr →
inferno	9–6	-0.03	19%	25 Apr →
inferno	8–8	-0.05	21%	25 Apr →
inferno	9–4	0.00	20%	3 Apr →
overpass	9–6	-0.04	10%	3 Apr →
overpass	9–6	0.12	13%	21 Mar →
inferno	5–9	0.02	14%	20 Mar →
overpass	9–7	0.11	20%	20 Mar →
dust2	15–15	-0.00	21%	17 Mar →
inferno	8–8	0.02	19%	17 Mar →
inferno	8–8	0.01	13%	17 Mar →