Julmaa — CS2 Stats

76561198337762455[U:1:377496727]

4,069Tracked matches67%Win rate2020Tracked since

4,851Hours in CS

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating13,303Blue band · top ~37.4% of ranked players (population est.)

CSDB Leaderboard#12616 of 18417 tracked

FaceitLevel 6 · 1,086 ELOTop 54.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning52

Utility51

0–100 skill scores via Leetify.

Recent form

HOT61–38–1Last 10061%Win rateWWWWWWWWWW

Last 10 vs previous 10: +60pp win rate · -0.00 avg rating

Player DNA

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

Aim6.9

Aggression5.8

Utility5.1

Positioning5.2

Opening Duels1.6

Clutch3.6

Limited utility dependence

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 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

Reaction time. 600ms 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

Aim6.9

Positioning5.2

Utility5.1

Mechanics5.3

Opening Duels1.6

Win Impact10.0

Composite 5.5/10 (Solid), 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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time612ms−82ms

first ⅓ avg 693ms → last ⅓ avg 612ms

Headshot accuracy16.9%+4.2%

first ⅓ avg 12.7% → last ⅓ avg 16.9%

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 — nuke 13–3

13–1Biggest win — nuke

11Longest win streak

W11Current streak

13–4In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 75% over 32ancientWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	32	24–8	75%	-0.01
nuke	A	20	12–8	60%	0.01
inferno	S	16	12–4	75%	0.00
mirage	B	11	5–6	45%	-0.03
cache	A	10	6–4	60%	-0.02
ancient	D	9	1–8	11%	-0.04
anubis	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

189,747Lifetime kills

0.71K/D

11,345Matches

40.6%Match win rate

37.9%Headshot %

12.5%Shot accuracy · Top 50% of tracked players

20,485MVPs

4,851Hours (in match)

8,399Bombs planted

1,878Bombs defused

Most-used weapons

AK-4751,723

M4A4 / M4A1-S35,071

AWP18,220

Desert Eagle12,078

P2000 / USP-S10,667

Glock-1810,008

P2505,790

Galil AR4,521

P904,322

Knife3,126

Lifetime map wins

30,300dust2

19,291inferno

15,212nuke

11,533train

3,451cbble

2,048vertigo

143aztec

117office

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

Faceit stats

Combat

857Matches

53%Win rate

0.91Avg K/D

76.8ADR

42%Headshot %

Clutches & streaks

38%1v1 clutch win

17%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	160	59%	0.89	14.8
Nuke	123	68%	1.05	14.8
Mirage	116	44%	0.85	13.8
Inferno	100	48%	0.95	15.4
Ancient	84	48%	0.88	14.7
Anubis	48	44%	0.77	13.9
Vertigo	30	47%	0.86	14.2
Overpass	22	55%	1.02	15.4

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.

16.3%Headshot accuracy

35.9%Accuracy (enemy spotted)

36.9%Spray accuracy

73.8%Counter-strafing

8.2°Preaim

600msReaction time

36.2%T opening success

36.6%CT opening success

0.66Enemies flashed / flash

5.8%Flash assists

12.75HE damage / grenade

3.60Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5997 — below the 4 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 36.1649% — below the 40% mark we flag

Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	-0.07	14%	26 Aug →
ancient	16–14	-0.03	10%	26 Aug →
inferno	13–6	-0.03	19%	26 Aug →
cache	13–9	0.01	22%	26 Aug →
dust2	13–11	-0.01	24%	23 Aug →
nuke	13–2	0.05	12%	23 Aug →
dust2	13–6	0.01	17%	23 Aug →
inferno	9–2	0.08	24%	23 Aug →
nuke	9–3	0.05	29%	23 Aug →
dust2	13–6	0.01	13%	22 Aug →
inferno	16–14	0.05	26%	22 Aug →
dust2	10–13	-0.03	23%	22 Aug →
nuke	5–13	-0.03	6%	17 Aug →
dust2	16–13	-0.05	16%	17 Aug →
mirage	13–16	0.03	13%	17 Aug →
nuke	9–13	-0.01	20%	17 Aug →
dust2	13–11	0.09	25%	17 Aug →
cache	13–10	0.04	16%	17 Aug →
cache	5–13	0.02	20%	16 Aug →
inferno	12–16	0.01	9%	16 Aug →
nuke	13–7	-0.00	15%	16 Aug →
dust2	8–13	-0.02	12%	16 Aug →
nuke	13–6	0.06	20%	16 Aug →
nuke	13–11	-0.04	16%	15 Aug →
inferno	13–8	-0.07	15%	15 Aug →
nuke	6–13	0.05	18%	15 Aug →
mirage	13–11	-0.05	13%	15 Aug →
dust2	6–13	-0.02	15%	14 Aug →
dust2	13–7	0.05	10%	14 Aug →
inferno	13–9	0.11	14%	9 Aug →
dust2	6–13	-0.10	17%	9 Aug →
dust2	13–3	-0.01	20%	8 Aug →
anubis	0–13	-0.09	17%	8 Aug →
ancient	3–13	-0.01	13%	8 Aug →
inferno	13–11	-0.00	13%	8 Aug →
mirage	13–11	-0.04	14%	8 Aug →
mirage	11–13	-0.05	5%	7 Aug →
ancient	8–13	-0.03	13%	7 Aug →
nuke	4–13	-0.03	13%	7 Aug →
dust2	13–7	-0.04	19%	7 Aug →
mirage	2–13	-0.11	0%	4 Aug →
dust2	16–12	-0.07	13%	4 Aug →
cache	10–13	-0.05	6%	4 Aug →
inferno	13–9	-0.04	14%	4 Aug →
inferno	9–13	-0.02	24%	3 Aug →
cache	13–11	-0.00	13%	3 Aug →
dust2	13–5	-0.06	22%	3 Aug →
cache	5–13	-0.01	17%	31 Jul →
nuke	16–13	0.06	16%	31 Jul →
ancient	8–13	-0.03	12%	31 Jul →
dust2	13–7	0.02	18%	31 Jul →
cache	13–4	-0.09	9%	30 Jul →
ancient	10–13	-0.07	10%	30 Jul →
nuke	8–13	-0.02	10%	30 Jul →
mirage	16–14	-0.03	15%	30 Jul →
nuke	13–1	0.03	7%	30 Jul →
cache	13–7	-0.02	11%	30 Jul →
dust2	13–3	0.05	23%	29 Jul →
nuke	13–6	-0.02	9%	29 Jul →
mirage	13–10	0.02	13%	29 Jul →
dust2	10–13	0.03	15%	29 Jul →
nuke	13–4	-0.03	14%	29 Jul →
nuke	13–4	0.02	15%	28 Jul →
ancient	10–13	-0.03	8%	28 Jul →
inferno	13–9	-0.03	13%	28 Jul →
nuke	8–13	-0.02	21%	28 Jul →
inferno	14–16	-0.05	11%	27 Jul →
inferno	13–6	0.04	29%	27 Jul →
ancient	3–13	-0.08	3%	26 Jul →
inferno	13–9	-0.00	16%	26 Jul →
anubis	13–3	0.04	20%	22 Jul →
inferno	8–13	-0.04	6%	22 Jul →
nuke	15–15	-0.02	12%	22 Jul →
nuke	13–3	0.12	17%	22 Jul →
mirage	5–13	-0.06	7%	22 Jul →
inferno	13–6	0.03	10%	22 Jul →
dust2	13–5	-0.01	13%	21 Jul →
nuke	9–13	-0.00	3%	20 Jul →
ancient	7–13	-0.06	10%	20 Jul →
dust2	13–6	-0.02	13%	20 Jul →
dust2	13–8	-0.00	18%	20 Jul →
dust2	13–11	-0.03	17%	20 Jul →
dust2	13–6	0.00	16%	20 Jul →
cache	13–5	-0.04	6%	19 Jul →
inferno	13–4	-0.00	16%	19 Jul →
dust2	13–2	0.02	11%	19 Jul →
mirage	13–10	0.01	19%	18 Jul →
ancient	10–13	0.01	13%	18 Jul →
dust2	11–13	-0.00	15%	15 Jul →
dust2	16–13	-0.02	16%	15 Jul →
nuke	13–7	0.04	16%	15 Jul →
dust2	13–5	-0.04	7%	15 Jul →
dust2	5–13	-0.06	7%	11 Jul →
mirage	10–13	-0.01	16%	11 Jul →
dust2	11–13	0.01	12%	11 Jul →
mirage	5–13	-0.06	9%	11 Jul →
cache	7–13	-0.07	8%	9 Jul →
dust2	13–11	-0.06	10%	9 Jul →
dust2	13–11	-0.03	17%	9 Jul →
dust2	13–9	0.02	13%	9 Jul →