jokubauskaas — CS2 Stats

76561199436425687[U:1:1476159959]Steam profile ↗✓ No bans

276Tracked matches59%Win rate2025Tracked since

CSDB Rating5.8 SolidPassive Rifler

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim82

Positioning39

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWWLWLLLLW

Last 10 vs previous 10: -30pp win rate · -0.07 avg rating

Player DNA

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

Aim8.2

Aggression4.0

Utility3.3

Positioning3.9

Opening Duels0.8

Clutch0.0

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 80% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower positioning 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 →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 574ms 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

Aim8.2

Positioning3.9

Utility3.3

Mechanics7.8

Opening Duels1.4

Win Impact7.9

Composite 5.8/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time587ms−60ms

first ⅓ avg 647ms → last ⅓ avg 587ms

Headshot accuracy18.4%+0.5%

first ⅓ avg 17.8% → last ⅓ avg 18.4%

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

0.21Best rating — inferno 9–2

13–0Biggest win — office

5Longest win streak

W3Current streak

7–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 59% over 41trainWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	41	24–17	59%	0.00
anubis	A	11	6–5	55%	-0.00
train	D	9	2–7	22%	0.03
vertigo	C	9	4–5	44%	0.04
office	C	7	3–4	43%	0.04
inferno	C	7	3–4	43%	0.01
nuke	—	3	1–2	33%	-0.00
ancient	—	3	1–2	33%	-0.03
dust2	—	3	1–2	33%	0.00
overpass	—	3	1–2	33%	-0.02
cache	—	2	2–0	100%	-0.02
rooftop	—	2	2–0	100%	0.04

Across the last 100 tracked matches.

Faceit stats

Combat

19Matches

37%Win rate

0.85Avg K/D

72.0ADR

36%Headshot %

Clutches & streaks

8%1v1 clutch win

25%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	43%	0.89	13.7
Nuke	4	25%	1.00	15.0
Ancient	4	50%	0.76	12.8
Dust2	3	0%	0.54	8.3
Inferno	1	100%	1.29	18.0

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.

18.2%Headshot accuracy

34.6%Accuracy (enemy spotted)

43.4%Spray accuracy

85.1%Counter-strafing

8.2°Preaim

574msReaction time

25.2%T opening success

41.4%CT opening success

0.30Enemies flashed / flash

5.0%Flash assists

4.51HE damage / grenade

7.88Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3045 — 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 25.1686% — below the 40% mark we flag

Spend your practice time on Train

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
office	13–7	0.10	29%	8 Jul →
inferno	9–4	-0.02	53%	17 Jun →
mirage	13–3	0.04	48%	17 Jun →
anubis	5–13	-0.03	29%	31 May →
anubis	13–11	0.01	17%	27 May →
inferno	1–9	-0.14	0%	26 May →
inferno	6–9	-0.02	15%	26 May →
nuke	5–9	-0.17	11%	26 May →
ancient	11–13	-0.05	5%	22 May →
mirage	13–5	-0.02	12%	20 May →
mirage	13–10	-0.00	14%	20 May →
mirage	13–3	0.10	13%	17 May →
mirage	13–8	0.08	22%	17 May →
office	13–0	-0.03	7%	17 May →
office	10–13	0.05	16%	13 May →
mirage	13–1	0.11	26%	9 May →
cache	13–9	-0.04	18%	9 May →
cache	13–10	0.00	20%	8 May →
anubis	8–13	0.03	17%	3 May →
inferno	13–9	0.14	18%	29 Apr →
ancient	13–10	0.01	11%	28 Apr →
train	13–11	0.11	16%	23 Apr →
train	8–13	-0.05	11%	23 Apr →
train	9–13	0.03	9%	22 Apr →
mirage	13–11	0.06	18%	21 Apr →
mirage	8–13	0.06	15%	15 Apr →
dust2	6–13	-0.05	22%	15 Apr →
mirage	2–13	-0.07	25%	14 Apr →
mirage	13–8	-0.01	25%	12 Apr →
mirage	5–13	0.03	17%	11 Apr →
vertigo	7–13	-0.02	11%	10 Apr →
vertigo	13–8	0.15	25%	8 Apr →
vertigo	7–13	0.04	13%	8 Apr →
anubis	12–12	0.11	24%	7 Apr →
anubis	4–13	-0.09	15%	6 Apr →
anubis	13–5	-0.03	30%	1 Apr →
mirage	13–11	-0.01	13%	31 Mar →
mirage	6–13	-0.01	17%	31 Mar →
mirage	13–3	0.04	20%	30 Mar →
mirage	16–14	-0.03	13%	29 Mar →
mirage	13–8	-0.03	11%	29 Mar →
dust2	12–12	0.01	43%	28 Mar →
mirage	13–9	-0.04	22%	28 Mar →
mirage	4–13	-0.12	13%	27 Mar →
mirage	6–13	-0.08	25%	27 Mar →
mirage	13–9	-0.01	16%	26 Mar →
mirage	9–13	0.04	15%	25 Mar →
overpass	6–9	-0.03	15%	19 Mar →
office	13–9	0.17	18%	19 Mar →
office	11–13	0.00	19%	18 Mar →
mirage	13–9	-0.02	30%	11 Mar →
mirage	13–10	-0.07	16%	10 Mar →
mirage	11–13	0.05	26%	6 Mar →
anubis	13–6	0.01	18%	3 Mar →
mirage	13–6	0.08	29%	2 Mar →
train	3–13	-0.01	21%	28 Feb →
train	6–13	0.01	28%	26 Feb →
train	3–13	-0.03	26%	26 Feb →
train	8–0	0.09	31%	26 Feb →
inferno	0–9	-0.15	6%	25 Feb →
mirage	10–13	0.00	19%	24 Feb →
mirage	13–5	-0.00	10%	24 Feb →
mirage	6–13	-0.04	19%	23 Feb →
vertigo	13–10	0.04	23%	22 Feb →
mirage	10–9	-0.01	19%	18 Feb →
anubis	13–3	0.07	16%	6 Feb →
mirage	13–6	0.00	11%	4 Feb →
inferno	6–11	0.03	26%	2 Feb →
mirage	4–13	-0.04	14%	28 Jan →
dust2	13–8	0.04	25%	28 Jan →
office	10–13	-0.06	6%	23 Jan →
office	3–13	0.03	25%	23 Jan →
ancient	3–13	-0.07	50%	20 Jan →
mirage	12–12	-0.03	9%	15 Jan →
overpass	13–5	0.00	13%	14 Jan →
overpass	8–13	-0.02	32%	14 Jan →
mirage	10–13	-0.06	13%	10 Jan →
mirage	13–6	-0.03	15%	8 Jan →
mirage	13–2	0.00	11%	8 Jan →
mirage	13–5	0.01	16%	7 Jan →
vertigo	2–3	0.06	25%	7 Jan →
mirage	9–13	-0.02	10%	7 Jan →
train	9–13	0.12	20%	6 Jan →
mirage	9–13	0.09	13%	4 Jan →
vertigo	9–7	0.05	12%	3 Jan →
train	11–13	0.05	12%	2 Jan →
inferno	9–2	0.21	16%	20 Dec →
vertigo	13–10	0.04	9%	19 Dec →
vertigo	5–13	-0.01	14%	17 Dec →
vertigo	4–13	-0.00	10%	17 Dec →
anubis	13–11	-0.04	7%	11 Dec →
anubis	13–4	-0.03	9%	10 Dec →
anubis	4–13	-0.04	20%	10 Dec →
mirage	13–10	0.04	12%	10 Dec →
nuke	9–4	0.11	15%	6 Dec →
mirage	11–13	0.04	12%	5 Dec →
rooftop	9–3	0.10	16%	4 Dec →
rooftop	9–0	-0.02	19%	4 Dec →
nuke	3–13	0.04	60%	3 Dec →
mirage	13–8	0.05	21%	3 Dec →