jelmukka — CS2 Stats

76561198871661701[U:1:911395973]

382Tracked matches48%Win rate2020Tracked since

1,916Hours in CS12Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating14,896Blue band · top ~28.9% of ranked players (population est.)

CSDB Leaderboard#30414 of 49766 tracked

FaceitLevel 7 · 1,497 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,762), 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	Level 7 median	Level 8 median	vs Level 8
Headshot rate	36.9%	46.1%	47.0%	10.2% short
Shot accuracy	16.0%	12.6%	12.7%	above
Kill/death ratio	0.93	1.05	1.07	0.14 short
Match win rate	37.6%	45.7%	46.4%	8.7% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim76

Positioning48

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWLLWWLTWL

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

Player DNA

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

Aim7.6

Aggression6.1

Utility5.0

Positioning4.8

Opening Duels1.5

Clutch0.0

Effective flashes

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 Twistzz 88% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6

Positioning4.8

Utility5.0

Mechanics5.6

Opening Duels1.5

Win Impact4.4

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time558ms−28ms

first ⅓ avg 586ms → last ⅓ avg 558ms

Headshot accuracy20.6%+3.7%

first ⅓ avg 16.9% → last ⅓ avg 20.6%

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

0.11Best rating — office 13–5

13–0Biggest win — nuke

5Longest win streak

4–9In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 64% over 22anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	14–8	64%	-0.00
mirage	A	18	10–8	56%	-0.00
dust2	D	13	4–9	31%	-0.02
overpass	C	13	5–8	38%	-0.01
inferno	A	9	5–4	56%	-0.01
ancient	A	8	5–3	63%	-0.03
anubis	D	5	1–4	20%	-0.03
cache	A	5	3–2	60%	-0.00
office	—	3	1–2	33%	0.02
train	—	3	1–2	33%	0.01
palacio	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

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

Lifetime stats

47,980Lifetime kills

0.93K/D

2,598Matches

37.6%Match win rate

36.9%Headshot %

16.0%Shot accuracy · Top 25% of Level 7 players

4,464MVPs

1,083Hours (in match)

2,644Bombs planted

530Bombs defused

Most-used weapons

AK-4713,314

AWP9,863

Desert Eagle5,615

M4A4 / M4A1-S4,713

P2000 / USP-S2,273

Glock-181,966

SG 5531,644

XM1014829

Tec-9754

AUG703

Lifetime map wins

6,349nuke

4,693train

1,990inferno

1,106dust2

493vertigo

445office

161cbble

27lake

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

Faceit stats

Combat

45Matches

56%Win rate

0.83Avg K/D

72.0ADR

41%Headshot %

Clutches & streaks

11%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	8	75%	1.23	15.4
Overpass	5	60%	1.74	13.0
Ancient	3	67%	0.97	16.3
Mirage	3	33%	0.87	15.0
Inferno	3	100%	1.05	13.3
Dust2	1	0%	0.64	9.0

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.

20.3%Headshot accuracy

35.4%Accuracy (enemy spotted)

43.3%Spray accuracy

75.3%Counter-strafing

10.2°Preaim

548msReaction time

35.9%T opening success

36.1%CT opening success

0.70Enemies flashed / flash

3.6%Flash assists

8.57HE damage / grenade

5.73Flashes / 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 35.8623% — 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.

20% win rate across 5 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
dust2	7–13	0.05	20%	30 Aug →
mirage	13–6	0.11	13%	30 Aug →
dust2	4–13	-0.05	11%	26 Aug →
nuke	2–13	-0.08	35%	26 Aug →
mirage	13–10	0.03	24%	26 Aug →
inferno	13–4	-0.02	10%	26 Aug →
office	11–13	-0.02	14%	26 Aug →
office	12–12	-0.03	18%	25 Aug →
nuke	13–6	-0.02	19%	25 Aug →
dust2	3–13	-0.08	21%	24 Aug →
ancient	5–13	-0.06	13%	24 Aug →
office	13–5	0.11	40%	20 Aug →
nuke	6–13	-0.04	14%	20 Aug →
anubis	13–6	-0.06	12%	20 Aug →
cache	13–3	0.08	42%	20 Aug →
mirage	2–13	0.00	24%	18 Aug →
nuke	13–9	0.09	32%	18 Aug →
nuke	8–13	0.05	12%	18 Aug →
nuke	13–6	-0.08	20%	16 Aug →
dust2	4–13	-0.07	21%	16 Aug →
dust2	4–13	-0.04	16%	15 Aug →
nuke	11–13	-0.03	32%	15 Aug →
mirage	13–11	-0.05	10%	15 Aug →
cache	13–7	0.05	20%	15 Aug →
nuke	13–10	-0.01	14%	8 Aug →
mirage	11–13	-0.02	19%	6 Aug →
cache	10–13	-0.07	28%	6 Aug →
nuke	13–7	0.04	24%	30 Jul →
cache	11–13	-0.03	20%	30 Jul →
ancient	13–7	-0.03	18%	13 Jul →
anubis	3–13	-0.05	14%	22 Jun →
ancient	13–6	0.03	29%	27 May →
mirage	8–13	-0.08	20%	6 May →
cache	13–4	-0.05	28%	4 May →
anubis	9–13	-0.03	24%	12 Apr →
mirage	13–5	0.00	18%	12 Apr →
mirage	7–13	-0.01	16%	17 Mar →
dust2	5–13	0.02	18%	16 Mar →
overpass	10–13	-0.10	8%	15 Mar →
nuke	13–8	-0.05	9%	11 Mar →
dust2	13–2	-0.00	22%	9 Mar →
inferno	13–3	-0.02	13%	3 Mar →
mirage	16–19	-0.04	27%	19 Feb →
nuke	13–10	0.01	21%	19 Feb →
nuke	13–11	0.03	20%	23 Jan →
overpass	5–13	-0.05	16%	23 Jan →
nuke	9–13	0.01	19%	22 Jan →
nuke	13–8	-0.05	9%	20 Jan →
inferno	13–10	-0.08	19%	20 Jan →
overpass	6–13	-0.11	5%	15 Jan →
nuke	13–11	-0.03	21%	15 Jan →
overpass	12–12	0.00	22%	15 Jan →
anubis	10–13	0.05	13%	13 Jan →
palacio	12–12	0.02	30%	12 Jan →
anubis	7–13	-0.07	8%	12 Jan →
nuke	13–0	0.03	44%	11 Jan →
overpass	13–10	-0.04	22%	11 Jan →
overpass	13–2	0.10	16%	7 Jan →
inferno	13–7	0.05	23%	6 Jan →
inferno	6–13	-0.01	22%	2 Jan →
overpass	11–13	-0.02	15%	1 Jan →
nuke	10–13	0.00	13%	1 Jan →
ancient	3–13	-0.10	13%	30 Dec →
mirage	13–2	0.09	43%	30 Dec →
overpass	13–7	-0.02	15%	30 Dec →
dust2	13–10	-0.02	20%	30 Dec →
dust2	8–13	-0.01	17%	29 Dec →
mirage	13–8	-0.03	13%	29 Dec →
ancient	13–5	-0.01	18%	29 Dec →
mirage	13–9	-0.07	9%	29 Dec →
overpass	9–13	-0.02	17%	28 Dec →
dust2	13–3	0.06	29%	28 Dec →
ancient	14–16	-0.04	15%	28 Dec →
dust2	9–13	-0.09	11%	25 Dec →
mirage	6–13	-0.06	10%	25 Dec →
nuke	11–5	-0.01	19%	25 Dec →
overpass	13–8	0.07	24%	25 Dec →
overpass	3–13	-0.05	16%	24 Dec →
mirage	13–8	0.09	21%	24 Dec →
inferno	13–4	-0.01	11%	17 Dec →
overpass	13–8	0.04	19%	16 Dec →
mirage	13–7	0.02	22%	16 Dec →
train	10–13	-0.01	15%	15 Dec →
inferno	11–13	-0.02	8%	15 Dec →
mirage	6–13	-0.05	8%	15 Dec →
nuke	13–16	0.03	17%	15 Dec →
inferno	10–13	0.01	17%	15 Dec →
mirage	6–13	-0.02	18%	13 Dec →
nuke	9–13	-0.00	13%	13 Dec →
inferno	10–13	0.00	5%	12 Dec →
nuke	13–4	0.02	33%	12 Dec →
nuke	13–5	0.04	20%	12 Dec →
ancient	13–2	-0.02	27%	12 Dec →
dust2	13–11	-0.04	15%	12 Dec →
mirage	13–9	0.04	11%	12 Dec →
train	10–13	-0.00	15%	11 Dec →
ancient	13–3	-0.03	23%	11 Dec →
dust2	14–16	-0.04	14%	11 Dec →
train	8–0	0.02	20%	9 Dec →
overpass	11–13	0.03	22%	9 Dec →