Korni — CS2 Stats

76561198840919705[U:1:880653977]Steam profile ↗✓ No bans

1,353Tracked matches36%Win rate2025Tracked since

CSDB Rating3.0 Learning

Premier CS Rating6,386Light Blue band · top ~72.2% of ranked players (population est.)

CSDB Leaderboard#39559 of 52325 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning29

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY40–53–7Last 10040%Win rateLWWLWLWLLW

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

Player DNA

Aim4.6

Aggression2.1

Utility3.5

Positioning2.9

Opening Duels0.0

Clutch2.6

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 66% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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 38% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 667ms 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

Aim4.6

Positioning2.9

Utility3.5

Mechanics5.2

Opening Duels1.0

Win Impact0.2

Composite 3.0/10 (Learning), 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-0.04−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.04

Reaction time654ms−40ms

first ⅓ avg 694ms → last ⅓ avg 654ms

Headshot accuracy14.4%−3.8%

first ⅓ avg 18.2% → last ⅓ avg 14.4%

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

0.07Best rating — inferno 13–3

13–0Biggest win — anubis

5Longest win streak

9–6In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 46% over 13dust2Weakest map · 27% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	22	6–16	27%	-0.04
anubis	B	20	9–11	45%	-0.04
overpass	D	15	4–11	27%	-0.03
cache	C	14	6–8	43%	-0.04
mirage	B	13	6–7	46%	-0.04
ancient	—	4	2–2	50%	-0.02
inferno	—	3	2–1	67%	0.02
vertigo	—	3	3–0	100%	0.01
office	—	2	0–2	0%	-0.02
train	—	2	1–1	50%	-0.02
shelter	—	1	0–1	0%	-0.03
nuke	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

96Matches

46%Win rate

0.79Avg K/D

75.2ADR

45%Headshot %

Clutches & streaks

33%1v1 clutch win

18%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	32	47%	0.84	13.7
Dust2	14	50%	0.68	10.7
Anubis	14	57%	0.84	13.6
Cache	11	55%	1.05	18.4
Nuke	10	30%	0.65	12.5
Ancient	5	20%	0.54	9.0
Inferno	5	40%	0.59	9.6
Overpass	3	67%	0.82	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.

14.5%Headshot accuracy

31.1%Accuracy (enemy spotted)

34.3%Spray accuracy

73.2%Counter-strafing

9.2°Preaim

667msReaction time

16.1%T opening success

38.2%CT opening success

0.43Enemies flashed / flash

5.4%Flash assists

6.10HE damage / grenade

3.37Flashes / 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 14.5% — below the 15% mark we flag
Aim Training →
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 0.4294 — 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 16.1489% — below the 40% mark we flag

Spend your practice time on Dust 2

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

27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	-0.07	16%	28 Aug →
mirage	11–0	0.01	11%	28 Aug →
dust2	13–9	-0.04	2%	26 Aug →
overpass	10–13	-0.02	16%	24 Aug →
cache	13–4	-0.06	6%	24 Aug →
dust2	6–13	-0.05	10%	24 Aug →
anubis	13–3	0.01	11%	23 Aug →
ancient	5–13	-0.09	7%	23 Aug →
dust2	11–13	-0.09	9%	23 Aug →
overpass	9–2	0.05	5%	23 Aug →
anubis	10–13	-0.04	9%	22 Aug →
dust2	8–13	-0.06	19%	22 Aug →
cache	9–13	0.00	26%	20 Aug →
overpass	12–12	-0.04	32%	20 Aug →
overpass	13–8	-0.09	5%	19 Aug →
cache	5–13	-0.06	9%	19 Aug →
cache	12–12	-0.10	24%	18 Aug →
overpass	8–13	-0.03	25%	18 Aug →
dust2	8–13	-0.03	14%	17 Aug →
dust2	13–11	-0.04	16%	17 Aug →
dust2	13–6	-0.04	9%	16 Aug →
dust2	13–4	-0.00	18%	16 Aug →
office	11–13	-0.07	8%	16 Aug →
dust2	1–13	-0.05	15%	16 Aug →
dust2	13–7	-0.01	21%	15 Aug →
dust2	8–13	-0.08	8%	15 Aug →
overpass	4–13	-0.05	12%	15 Aug →
anubis	13–11	-0.07	16%	15 Aug →
dust2	10–13	0.01	19%	13 Aug →
mirage	8–13	0.05	19%	13 Aug →
mirage	4–13	-0.09	15%	13 Aug →
mirage	13–10	-0.01	24%	13 Aug →
cache	13–11	0.00	20%	13 Aug →
cache	13–3	-0.03	30%	13 Aug →
overpass	13–1	-0.01	23%	12 Aug →
dust2	11–13	-0.09	28%	12 Aug →
dust2	13–7	-0.00	24%	12 Aug →
anubis	3–13	-0.01	36%	12 Aug →
dust2	10–13	-0.04	10%	10 Aug →
overpass	2–13	-0.07	43%	9 Aug →
inferno	10–13	-0.01	16%	9 Aug →
dust2	10–13	-0.07	18%	9 Aug →
anubis	7–13	-0.07	12%	9 Aug →
shelter	12–12	-0.03	29%	6 Aug →
anubis	6–13	-0.07	15%	6 Aug →
cache	5–13	-0.03	16%	6 Aug →
train	11–13	-0.04	13%	5 Aug →
vertigo	13–11	-0.03	15%	5 Aug →
cache	12–12	-0.05	22%	4 Aug →
office	2–13	0.03	17%	4 Aug →
cache	13–7	0.01	20%	4 Aug →
anubis	13–6	-0.06	22%	4 Aug →
anubis	13–6	0.03	22%	4 Aug →
dust2	9–13	-0.01	20%	4 Aug →
overpass	10–13	-0.07	15%	3 Aug →
mirage	5–13	-0.09	10%	3 Aug →
mirage	7–13	-0.10	16%	3 Aug →
dust2	10–13	-0.09	21%	2 Aug →
dust2	9–13	-0.06	27%	2 Aug →
anubis	13–5	-0.04	22%	2 Aug →
cache	2–13	-0.07	18%	2 Aug →
overpass	13–2	0.01	15%	2 Aug →
dust2	1–13	-0.12	15%	1 Aug →
cache	13–7	-0.04	20%	1 Aug →
overpass	5–13	-0.01	23%	1 Aug →
anubis	12–12	-0.03	18%	1 Aug →
cache	10–13	-0.04	14%	1 Aug →
overpass	5–13	-0.04	26%	1 Aug →
anubis	13–4	-0.01	15%	1 Aug →
cache	13–1	-0.04	20%	1 Aug →
vertigo	9–3	-0.01	20%	1 Aug →
overpass	3–13	-0.06	16%	31 Jul →
mirage	4–13	-0.10	12%	31 Jul →
anubis	13–4	-0.04	23%	31 Jul →
mirage	13–11	-0.02	19%	30 Jul →
mirage	11–13	-0.08	17%	30 Jul →
ancient	13–10	-0.00	10%	30 Jul →
anubis	13–0	0.02	20%	30 Jul →
anubis	4–13	-0.06	8%	30 Jul →
mirage	13–9	-0.00	18%	28 Jul →
mirage	11–13	-0.05	9%	28 Jul →
anubis	9–13	-0.03	21%	28 Jul →
mirage	13–11	-0.01	18%	28 Jul →
train	13–11	0.01	14%	28 Jul →
inferno	13–3	0.07	13%	27 Jul →
nuke	13–4	0.01	11%	27 Jul →
ancient	13–10	-0.01	14%	27 Jul →
cache	6–13	-0.03	21%	27 Jul →
anubis	4–13	0.00	21%	27 Jul →
mirage	13–11	0.03	16%	27 Jul →
inferno	13–5	0.01	29%	27 Jul →
overpass	12–12	0.05	22%	27 Jul →
overpass	9–13	-0.01	25%	26 Jul →
vertigo	13–11	0.06	14%	26 Jul →
ancient	9–13	0.01	22%	26 Jul →
anubis	13–7	-0.03	19%	26 Jul →
dust2	12–12	0.04	22%	26 Jul →
anubis	9–13	-0.06	17%	25 Jul →
dust2	3–13	-0.02	23%	25 Jul →
anubis	3–13	-0.07	28%	25 Jul →