jaski — CS2 Stats

JM76561197961969958[U:1:1704230]Steam profile ↗✓ No bans

1,970Tracked matches47%Win rate2020Tracked since

3,869Hours in CS59Hrs last 2 wks

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating22,191Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)

CSDB Leaderboard#10656 of 39397 tracked

FaceitLevel 8 · 2,046 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median	Level 9 median	vs Level 9
Headshot rate	38.0%	47.0%	48.5%	10.6% short
Shot accuracy	13.0%	12.7%	13.3%	meets
Kill/death ratio	1.04	1.07	1.07	0.03 short
Match win rate	53.0%	46.4%	47.0%	above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning54

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLWWLWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.5

Aggression6.2

Utility6.0

Positioning5.4

Opening Duels3.6

Clutch4.8

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 iM 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.5

Positioning5.4

Utility6.0

Mechanics5.4

Opening Duels3.6

Win Impact3.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time536ms+19ms

first ⅓ avg 516ms → last ⅓ avg 536ms

Headshot accuracy13.0%+3.5%

first ⅓ avg 9.5% → last ⅓ avg 13.0%

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

0.10Best rating — dust2 11–13

13–1Biggest win — dust2

8Longest win streak

7–18In matches decided by ≤2 rounds

15Overtime games

Map breakdown

ancientBest map · 65% over 17cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	27	10–17	37%	0.01
ancient	S	17	11–6	65%	0.01
anubis	C	17	6–11	35%	-0.01
inferno	B	16	8–8	50%	-0.00
nuke	B	15	8–7	53%	0.01
cache	D	7	2–5	29%	-0.01
mirage	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Lifetime stats

88,926Lifetime kills

1.04K/D

5,252Matches

53.0%Match win rate · Top 10% of Level 8 players

38.0%Headshot %

13.0%Shot accuracy · Top 50% of Level 8 players

11,219MVPs

2,081Hours (in match)

5,697Bombs planted

1,221Bombs defused

Most-used weapons

AK-4729,896

M4A4 / M4A1-S27,180

P2000 / USP-S5,343

Glock-182,758

Five-SeveN2,070

FAMAS2,059

MAC-101,973

Desert Eagle1,808

AWP1,784

Galil AR1,710

Lifetime map wins

16,029dust2

9,818inferno

2,690nuke

901cbble

687train

647vertigo

134office

119dust

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

Faceit stats

Combat

752Matches

51%Win rate

1.06Avg K/D

78.0ADR

38%Headshot %

Clutches & streaks

44%1v1 clutch win

21%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	138	51%	1.12	15.1
Inferno	134	59%	1.13	15.8
Ancient	124	43%	0.96	14.5
Anubis	90	53%	1.04	15.9
Mirage	73	49%	1.10	15.4
Nuke	48	52%	1.13	15.7
Vertigo	23	30%	1.05	15.8
Overpass	16	50%	1.13	15.7

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.

12.4%Headshot accuracy

40.2%Accuracy (enemy spotted)

41.6%Spray accuracy

74.4%Counter-strafing

9.6°Preaim

532msReaction time

35.0%T opening success

53.4%CT opening success

0.59Enemies flashed / flash

9.3%Flash assists

7.79HE damage / grenade

12.91Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.4102% — below the 15% mark we flag
Aim Training →
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 34.9837% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

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