korggi00 — CS2 Stats

FI76561198166373538[U:1:206107810]Steam profile ↗✓ No bans

1,291Tracked matches32%Win rate2023Tracked since

CSDB Rating4.6 DevelopingPassive Rifler

Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#12673 of 19804 tracked

FaceitLevel 5 · 1,209 ELOTop 67.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning40

Utility57

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLLLLLLLLWW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.2

Aggression3.4

Utility5.7

Positioning4.0

Opening Duels0.0

Clutch3.0

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 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 582ms 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

Aim6.2

Positioning4.0

Utility5.7

Mechanics7.2

Opening Duels0.0

Win Impact0.0

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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time585ms−66ms

first ⅓ avg 652ms → last ⅓ avg 585ms

Headshot accuracy14.7%−0.4%

first ⅓ avg 15.1% → last ⅓ avg 14.7%

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 7–13

13–2Biggest win — mirage

5Longest win streak

L8Current streak

9–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

cacheBest map · 75% over 8overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	18	8–10	44%	-0.01
nuke	C	18	7–11	39%	-0.01
dust2	C	16	7–9	44%	-0.03
mirage	D	12	3–9	25%	-0.01
anubis	C	11	4–7	36%	-0.02
cache	S	8	6–2	75%	-0.00
ancient	C	8	3–5	38%	-0.00
overpass	D	5	1–4	20%	-0.04
train	—	2	1–1	50%	-0.05
vertigo	—	1	1–0	100%	0.04
office	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

265Matches

51%Win rate

0.96Avg K/D

72.6ADR

39%Headshot %

Clutches & streaks

35%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	75	48%	0.86	12.5
Dust2	42	45%	0.94	12.9
Inferno	42	50%	0.99	14.1
Nuke	34	62%	1.05	13.6
Ancient	27	63%	1.05	15.4
Anubis	21	43%	1.06	13.8
Overpass	13	38%	0.99	14.8
Train	7	71%	1.04	13.9

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.

14.2%Headshot accuracy

31.5%Accuracy (enemy spotted)

32.2%Spray accuracy

82.2%Counter-strafing

8.7°Preaim

582msReaction time

23.1%T opening success

30.4%CT opening success

0.60Enemies flashed / flash

5.7%Flash assists

10.62HE damage / grenade

8.24Flashes / 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 14.1618% — 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 23.0967% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

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