Klunki — CS2 Stats

76561197988963163[U:1:28697435]

1,617Tracked matches52%Win rate2020Tracked since

3,523Hours in CS15Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating25,631Top 25% of 819 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning52

Utility61

0–100 skill scores via Leetify.

Recent form

HOT52–39–9Last 10052%Win rateWLWWWWTWWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating

Player DNA

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

Aim7.6

Aggression5.4

Utility6.1

Positioning5.2

Opening Duels2.9

Clutch3.4

Strong CT-side opener

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 91% 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

Strengths

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 67% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim7.6

Positioning5.2

Utility6.1

Mechanics6.5

Opening Duels4.6

Win Impact5.6

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time565ms−40ms

first ⅓ avg 605ms → last ⅓ avg 565ms

Headshot accuracy23.5%+0.3%

first ⅓ avg 23.2% → last ⅓ avg 23.5%

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

0.16Best rating — dust2 13–2

13–0Biggest win — inferno

7Longest win streak

5–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 70% over 10mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	33	18–15	55%	0.01
cache	B	19	9–10	47%	0.01
ancient	S	18	12–6	67%	0.02
inferno	S	10	7–3	70%	-0.00
anubis	C	9	4–5	44%	0.02
mirage	D	6	1–5	17%	-0.01
nuke	—	4	0–4	0%	-0.02
vertigo	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,273Lifetime kills

1.11K/D · Top 50% of tracked players

4,544Matches

46.0%Match win rate

44.2%Headshot %

13.0%Shot accuracy · Top 50% of tracked players

10,646MVPs

2,164Hours (in match)

3,299Bombs planted

1,218Bombs defused

Most-used weapons

AK-4733,538

M4A4 / M4A1-S19,637

AWP12,190

Desert Eagle7,777

AUG7,072

P2000 / USP-S5,326

Glock-183,232

P2501,494

Knife1,490

FAMAS1,210

Lifetime map wins

9,542dust2

8,706inferno

2,270vertigo

2,184nuke

515train

332cbble

16militia

6aztec

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

Faceit stats

Combat

341Matches

54%Win rate

1.11Avg K/D

82.9ADR

51%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	67	63%	1.11	16.1
Mirage	66	42%	1.01	16.3
Vertigo	35	63%	0.98	14.6
Anubis	35	54%	1.00	14.6
Dust2	31	61%	1.15	16.3
Inferno	20	40%	0.98	13.1
Overpass	8	62%	1.35	18.5
Nuke	7	57%	1.26	18.1

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.

23.5%Headshot accuracy

30.8%Accuracy (enemy spotted)

33.7%Spray accuracy

79.2%Counter-strafing

7.7°Preaim

556msReaction time

16.4%T opening success

67.1%CT opening success

0.61Enemies flashed / flash

7.8%Flash assists

7.73HE damage / grenade

12.23Flashes / 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.

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 16.4168% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	16–13	-0.01	21%	26 Aug →
cache	10–13	0.06	18%	21 Aug →
dust2	16–13	0.04	24%	21 Aug →
inferno	13–7	-0.00	18%	20 Aug →
cache	13–5	0.07	23%	20 Aug →
ancient	13–1	0.09	32%	20 Aug →
dust2	15–15	-0.00	21%	18 Aug →
ancient	16–12	0.05	18%	18 Aug →
dust2	13–4	0.08	30%	18 Aug →
ancient	14–16	0.04	20%	17 Aug →
dust2	13–11	0.02	28%	17 Aug →
nuke	7–13	-0.05	31%	17 Aug →
dust2	10–13	0.00	26%	10 Aug →
anubis	13–2	0.13	13%	10 Aug →
cache	4–13	-0.05	21%	10 Aug →
cache	5–13	-0.02	24%	6 Aug →
anubis	7–13	-0.01	19%	6 Aug →
ancient	13–11	0.01	24%	4 Aug →
dust2	5–13	-0.03	33%	4 Aug →
nuke	7–13	0.01	26%	4 Aug →
cache	4–13	-0.07	37%	4 Aug →
anubis	13–9	-0.05	24%	3 Aug →
dust2	2–13	-0.06	5%	3 Aug →
dust2	13–6	0.03	27%	3 Aug →
dust2	13–9	-0.04	21%	2 Aug →
anubis	9–13	-0.01	15%	1 Aug →
dust2	13–4	0.01	37%	1 Aug →
mirage	11–13	-0.01	15%	31 Jul →
dust2	7–13	-0.03	32%	31 Jul →
cache	13–5	0.01	31%	31 Jul →
dust2	13–8	-0.04	15%	30 Jul →
inferno	13–0	0.07	30%	30 Jul →
dust2	13–4	0.11	16%	30 Jul →
ancient	13–10	-0.04	15%	30 Jul →
anubis	16–14	-0.02	14%	30 Jul →
ancient	13–11	0.03	10%	30 Jul →
cache	15–15	-0.03	19%	28 Jul →
inferno	6–13	-0.03	14%	26 Jul →
dust2	8–13	-0.01	24%	26 Jul →
dust2	13–3	0.10	20%	26 Jul →
ancient	13–9	0.04	20%	25 Jul →
dust2	13–8	-0.01	26%	25 Jul →
ancient	11–13	-0.02	22%	24 Jul →
cache	7–0	0.06	24%	24 Jul →
anubis	4–13	-0.04	5%	24 Jul →
dust2	14–16	0.01	20%	24 Jul →
cache	11–13	-0.04	12%	24 Jul →
cache	13–4	0.05	21%	23 Jul →
dust2	10–13	0.02	19%	23 Jul →
cache	13–1	0.14	24%	23 Jul →
dust2	13–3	0.02	22%	23 Jul →
ancient	8–13	0.04	16%	16 Jul →
dust2	13–5	0.02	20%	16 Jul →
anubis	10–13	0.05	24%	16 Jul →
nuke	3–13	0.02	17%	14 Jul →
dust2	11–13	-0.00	29%	14 Jul →
mirage	8–13	0.08	24%	14 Jul →
ancient	14–16	0.07	26%	14 Jul →
inferno	13–8	-0.04	19%	12 Jul →
ancient	13–8	0.00	13%	12 Jul →
dust2	13–6	0.00	20%	12 Jul →
cache	15–15	0.00	18%	12 Jul →
dust2	12–12	0.02	24%	12 Jul →
ancient	13–8	-0.01	20%	8 Jul →
vertigo	13–8	0.03	30%	8 Jul →
cache	3–13	-0.01	21%	8 Jul →
inferno	13–7	-0.00	18%	3 Jul →
anubis	13–4	0.03	18%	3 Jul →
mirage	13–16	0.01	22%	27 Jun →
dust2	15–15	0.02	22%	27 Jun →
inferno	13–8	-0.01	23%	27 Jun →
nuke	9–13	-0.06	17%	27 Jun →
dust2	16–13	0.01	19%	26 Jun →
mirage	13–7	-0.03	41%	22 Jun →
dust2	13–4	0.07	43%	22 Jun →
ancient	13–6	0.05	11%	22 Jun →
inferno	12–12	-0.02	6%	17 Jun →
anubis	12–12	0.05	16%	17 Jun →
cache	13–4	0.02	35%	17 Jun →
dust2	13–9	0.07	29%	17 Jun →
dust2	10–13	-0.03	15%	16 Jun →
cache	13–5	0.05	17%	16 Jun →
ancient	13–1	0.06	33%	16 Jun →
ancient	13–11	0.02	15%	15 Jun →
cache	13–8	-0.00	18%	15 Jun →
mirage	7–13	-0.04	13%	11 Jun →
dust2	5–13	0.01	21%	11 Jun →
inferno	8–13	0.01	26%	9 Jun →
mirage	6–13	-0.05	28%	9 Jun →
ancient	8–13	-0.01	16%	8 Jun →
dust2	13–2	0.16	25%	8 Jun →
cache	9–13	-0.06	24%	8 Jun →
dust2	13–5	-0.05	35%	7 Jun →
cache	13–4	0.06	29%	7 Jun →
inferno	13–7	-0.01	21%	5 Jun →
ancient	1–13	-0.06	19%	5 Jun →
dust2	9–13	-0.02	28%	5 Jun →
cache	12–12	-0.01	22%	5 Jun →
ancient	13–2	0.09	22%	3 Jun →
dust2	12–12	-0.01	38%	3 Jun →