Koniin — CS2 Stats

76561199033652952[U:1:1073387224]

285Tracked matches53%Win rate2021Tracked since

1,079Hours in CS

CSDB Rating4.7 Developing

Premier CS Rating6,872Light Blue band · top ~69.9% of ranked players (population est.)

CSDB Leaderboard#41800 of 55596 tracked

WingmanGold Nova II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Light Blue band median	Blue band median	vs Blue band
Headshot rate	52.5%	39.7%	41.4%	above
Shot accuracy	4.8%	6.7%	9.0%	4.2% short
Kill/death ratio	0.93	0.91	0.97	0.04 short
Match win rate	43.4%	42.1%	43.7%	meets

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim57

Positioning47

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateWWWLWLLWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.7

Aggression4.9

Utility3.1

Positioning4.7

Opening Duels2.9

Clutch4.2

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 NiKo 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 749ms 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

Aim5.7

Positioning4.7

Utility3.1

Mechanics8.0

Opening Duels2.9

Win Impact6.1

Composite 4.7/10 (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-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time737ms−28ms

first ⅓ avg 765ms → last ⅓ avg 737ms

Headshot accuracy16.1%−0.8%

first ⅓ avg 16.9% → last ⅓ avg 16.1%

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 — inferno 8–8

13–0Biggest win — office

4Longest win streak

W3Current streak

9–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 57% over 7anubisWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	34	15–19	44%	-0.02
inferno	D	16	5–11	31%	-0.03
anubis	D	11	3–8	27%	-0.02
dust2	A	9	5–4	56%	-0.01
nuke	C	8	3–5	38%	-0.05
office	C	8	3–5	38%	0.00
ancient	A	7	4–3	57%	-0.01
overpass	—	2	0–2	0%	-0.03
train	—	2	2–0	100%	0.01
cache	—	1	0–1	0%	-0.10
italy	—	1	1–0	100%	0.04
agency	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,133Lifetime kills

0.93K/D · Top 50% of Light Blue band

2,668Matches

43.4%Match win rate · Top 50% of Light Blue band

52.5%Headshot % · Top 10% of Light Blue band

4.8%Shot accuracy

6,913MVPs

1,079Hours (in match)

439Bombs planted

286Bombs defused

Most-used weapons

AK-4719,872

M4A4 / M4A1-S7,956

Knife4,761

P2000 / USP-S3,818

AWP3,495

Desert Eagle3,285

Glock-18807

SSG 08510

MP9294

Galil AR282

Lifetime map wins

2,864dust2

2,389inferno

2,107office

1,355nuke

768vertigo

143train

60cbble

44lake

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

Faceit stats

Combat

45Matches

49%Win rate

0.89Avg K/D

66.7ADR

50%Headshot %

Clutches & streaks

41%1v1 clutch win

18%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	11	45%	1.02	16.6
Dust2	10	60%	0.79	14.8
Anubis	10	40%	1.03	12.6
Inferno	6	50%	0.88	12.3
Nuke	4	50%	0.68	11.3
Ancient	3	67%	0.74	9.0
Cache	1	0%	0.25	4.0

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.

16.2%Headshot accuracy

33.7%Accuracy (enemy spotted)

32.6%Spray accuracy

86.1%Counter-strafing

8.4°Preaim

749msReaction time

30.9%T opening success

52.7%CT opening success

0.45Enemies flashed / flash

2.7%Flash assists

4.48HE damage / grenade

6.02Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 748.8748ms — above the 700ms 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 0.4451 — 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 30.9078% — below the 40% mark we flag

Spend your practice time on Anubis

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 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–6	0.00	21%	10 Jul →
mirage	16–14	0.01	17%	9 Jul →
dust2	13–11	0.01	17%	9 Jul →
mirage	2–13	0.01	11%	9 Jul →
mirage	13–11	0.01	15%	3 Jul →
cache	5–13	-0.10	0%	3 Jul →
ancient	9–13	-0.05	21%	3 Jul →
ancient	13–4	-0.01	12%	2 Jul →
anubis	19–17	-0.03	22%	2 Jul →
inferno	4–13	-0.02	28%	2 Jul →
dust2	4–13	-0.05	13%	2 Jul →
nuke	8–13	-0.09	24%	1 Jul →
inferno	13–8	-0.06	29%	30 Jun →
ancient	13–5	0.05	16%	30 Jun →
nuke	13–7	0.03	14%	29 Jun →
inferno	13–8	0.03	24%	29 Jun →
ancient	10–13	-0.03	12%	28 Jun →
inferno	7–13	-0.05	25%	28 Jun →
mirage	13–11	-0.03	12%	26 Jun →
mirage	13–8	-0.03	18%	26 Jun →
ancient	13–5	-0.06	6%	25 Jun →
nuke	16–13	-0.05	12%	25 Jun →
anubis	10–13	0.04	22%	23 Jun →
mirage	9–13	-0.07	7%	23 Jun →
inferno	9–7	-0.13	29%	23 Jun →
inferno	8–8	0.12	32%	18 Jun →
overpass	4–13	-0.03	26%	14 May →
nuke	1–13	-0.05	4%	14 May →
mirage	6–13	0.00	0%	15 Apr →
dust2	13–4	0.01	11%	15 Apr →
inferno	6–13	-0.05	5%	14 Apr →
dust2	16–12	-0.06	16%	14 Apr →
italy	13–3	0.04	13%	14 Apr →
mirage	13–8	0.01	15%	4 Apr →
dust2	10–0	-0.01	33%	4 Apr →
nuke	11–13	-0.05	18%	4 Apr →
mirage	13–6	-0.00	23%	4 Apr →
overpass	6–13	-0.04	30%	29 Mar →
mirage	12–12	0.05	40%	25 Mar →
inferno	13–8	0.01	18%	8 Mar →
mirage	8–13	-0.04	35%	5 Mar →
mirage	13–4	0.05	17%	5 Mar →
inferno	2–13	-0.02	34%	27 Feb →
office	13–2	0.01	32%	25 Feb →
mirage	9–13	-0.02	29%	22 Feb →
dust2	7–13	-0.05	10%	22 Feb →
mirage	13–11	-0.00	18%	20 Feb →
inferno	13–10	-0.03	26%	20 Feb →
mirage	5–13	-0.06	21%	19 Feb →
dust2	13–9	0.02	13%	19 Feb →
office	3–13	-0.04	18%	18 Feb →
mirage	13–5	0.02	16%	18 Feb →
inferno	7–13	-0.07	24%	15 Feb →
nuke	10–13	-0.05	8%	15 Feb →
mirage	13–3	0.02	21%	15 Feb →
mirage	16–14	0.06	34%	13 Feb →
mirage	7–13	-0.05	27%	12 Feb →
mirage	5–13	-0.04	22%	6 Feb →
anubis	7–13	-0.07	36%	6 Feb →
mirage	10–13	-0.04	15%	5 Feb →
mirage	13–11	-0.03	27%	5 Feb →
mirage	13–5	-0.06	19%	5 Feb →
mirage	10–13	0.04	25%	5 Feb →
dust2	10–13	0.02	12%	21 Oct →
mirage	10–13	-0.04	19%	21 Oct →
agency	8–13	0.01	23%	12 Jun →
mirage	13–9	0.00	22%	28 May →
mirage	1–13	-0.08	19%	15 May →
mirage	9–13	-0.06	20%	8 May →
train	13–9	0.07	27%	6 May →
inferno	8–13	-0.05	18%	5 May →
anubis	11–13	0.00	24%	2 May →
ancient	6–13	-0.01	20%	23 Apr →
anubis	2–13	0.06	12%	23 Apr →
mirage	12–12	0.04	17%	19 Apr →
train	13–7	-0.04	9%	9 Apr →
anubis	13–7	-0.06	5%	2 Apr →
inferno	4–13	-0.00	30%	16 Mar →
inferno	9–13	-0.04	15%	14 Mar →
office	11–13	0.00	25%	14 Mar →
office	3–13	-0.07	6%	12 Mar →
office	13–0	0.08	18%	10 Mar →
mirage	6–13	-0.10	13%	4 Mar →
mirage	14–16	-0.04	15%	1 Mar →
office	13–5	0.01	15%	28 Feb →
office	3–13	0.01	38%	28 Feb →
inferno	6–13	-0.09	9%	28 Feb →
nuke	3–13	-0.08	24%	28 Feb →
anubis	13–7	-0.04	10%	28 Feb →
anubis	5–10	0.01	14%	27 Feb →
anubis	9–13	-0.01	10%	22 Feb →
office	9–13	-0.00	10%	21 Feb →
mirage	6–13	-0.01	20%	17 Feb →
anubis	9–13	-0.02	13%	16 Feb →
ancient	13–10	0.01	17%	16 Feb →
anubis	8–13	-0.09	29%	15 Feb →
dust2	5–13	0.01	22%	13 Feb →
inferno	4–13	-0.03	14%	12 Feb →
nuke	13–8	-0.06	11%	11 Feb →
mirage	6–13	-0.08	10%	11 Feb →