Jessicas Jone — CS2 Stats

76561198806711504[U:1:846445776]✓ No bans

541Tracked matches54%Win rate2020Tracked since

2,471Hours in CS3Hrs last 2 wks

CSDB Rating5.7 SolidClutch Specialist

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71

Positioning37

Utility56

0–100 skill scores via Leetify.

Recent form

COLD48–45–7Last 10048%Win rateLWLLWLLWLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim7.1

Aggression1.5

Utility5.6

Positioning3.7

Opening Duels0.0

Clutch7.6

Excellent counter-strafingReliable in 1v1s

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 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower 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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 625ms 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

Aim7.1

Positioning3.7

Utility5.6

Mechanics9.0

Opening Duels0.0

Win Impact6.2

Composite 5.7/10 (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 rating-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time619ms−51ms

first ⅓ avg 670ms → last ⅓ avg 619ms

Headshot accuracy22.6%−3.9%

first ⅓ avg 26.5% → last ⅓ avg 22.6%

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 — nuke 13–2

13–2Biggest win — nuke

7Longest win streak

9–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 71% over 17cacheWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	26	8–18	31%	-0.03
dust2	S	18	12–6	67%	-0.01
inferno	S	17	12–5	71%	-0.00
cache	D	14	4–10	29%	-0.03
ancient	C	8	3–5	38%	-0.02
nuke	S	6	4–2	67%	0.02
overpass	—	4	2–2	50%	-0.03
train	—	3	1–2	33%	-0.02
vertigo	—	2	1–1	50%	-0.04
debris	—	1	1–0	100%	-0.23
anubis	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Lifetime stats

69,338Lifetime kills

0.91K/D

3,741Matches

44.1%Match win rate

52.2%Headshot % · Top 50% of tracked players

17.1%Shot accuracy · Top 25% of tracked players

10,146MVPs

1,569Hours (in match)

4,139Bombs planted

1,146Bombs defused

Most-used weapons

AK-4722,942

M4A4 / M4A1-S10,310

AWP10,235

Desert Eagle8,525

P2000 / USP-S4,372

Glock-182,655

FAMAS1,759

P2501,090

SSG 081,032

Galil AR902

Lifetime map wins

5,968inferno

3,448dust2

2,046train

1,548nuke

986vertigo

379cbble

143office

53lake

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

Faceit stats

Combat

216Matches

48%Win rate

1.04Avg K/D

81.2ADR

48%Headshot %

Clutches & streaks

58%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	12	75%	1.47	16.8
Inferno	9	67%	0.97	17.2
Dust2	8	50%	1.07	14.8
Ancient	6	17%	0.96	16.8
Anubis	3	100%	2.25	16.3
Vertigo	3	33%	0.55	8.7
Nuke	3	33%	0.79	14.0
Overpass	2	0%	0.84	11.5

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.

23.3%Headshot accuracy

31.8%Accuracy (enemy spotted)

30.9%Spray accuracy

90.3%Counter-strafing

10.2°Preaim

625msReaction time

20.9%T opening success

24.7%CT opening success

0.56Enemies flashed / flash

5.2%Flash assists

6.80HE damage / grenade

14.41Flashes / 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 20.9349% — 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 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	-0.08	15%	27 Aug →
dust2	13–5	0.01	16%	27 Aug →
nuke	9–13	-0.02	24%	15 Aug →
overpass	6–13	-0.07	17%	15 Aug →
train	13–5	0.07	23%	15 Aug →
vertigo	6–13	-0.01	25%	14 Aug →
cache	6–13	-0.03	37%	14 Aug →
dust2	13–3	0.04	31%	14 Aug →
ancient	12–16	0.03	15%	14 Aug →
mirage	6–13	-0.09	28%	12 Aug →
cache	13–8	-0.01	21%	12 Aug →
cache	6–13	-0.09	25%	11 Aug →
mirage	9–13	-0.03	22%	11 Aug →
inferno	13–5	-0.03	32%	11 Aug →
mirage	10–13	-0.08	37%	11 Aug →
inferno	9–3	0.09	13%	9 Aug →
mirage	12–12	-0.02	19%	9 Aug →
cache	12–12	0.01	35%	4 Aug →
cache	13–11	-0.01	18%	31 Jul →
inferno	13–10	0.03	22%	31 Jul →
mirage	13–8	-0.02	21%	30 Jul →
dust2	13–6	-0.00	26%	30 Jul →
nuke	13–9	-0.03	33%	29 Jul →
inferno	16–12	0.04	20%	28 Jul →
inferno	13–7	0.04	23%	28 Jul →
cache	8–13	-0.01	23%	28 Jul →
ancient	13–7	-0.06	12%	27 Jul →
inferno	11–13	-0.06	15%	26 Jul →
mirage	13–11	-0.03	34%	26 Jul →
inferno	7–13	-0.03	12%	26 Jul →
dust2	13–11	-0.03	24%	26 Jul →
dust2	13–9	-0.06	16%	25 Jul →
cache	13–6	0.00	13%	25 Jul →
cache	10–13	-0.06	28%	24 Jul →
mirage	6–13	-0.05	16%	24 Jul →
mirage	14–16	-0.06	21%	14 Jul →
cache	7–13	-0.06	33%	14 Jul →
mirage	3–13	-0.07	22%	14 Jul →
debris	8–6	-0.23	13%	14 Jul →
vertigo	9–3	-0.07	50%	14 Jul →
inferno	13–6	-0.04	31%	14 Jul →
dust2	13–7	-0.04	14%	14 Jul →
nuke	13–11	0.01	27%	6 Jul →
cache	12–12	-0.04	29%	4 Jul →
mirage	13–7	0.01	17%	4 Jul →
mirage	5–13	-0.05	26%	29 Jun →
dust2	13–5	-0.02	31%	29 Jun →
inferno	8–13	-0.08	47%	29 Jun →
train	9–13	-0.10	20%	23 Jun →
cache	2–13	-0.10	14%	22 Jun →
inferno	2–13	-0.03	22%	11 Jun →
cache	5–13	-0.06	23%	29 Apr →
cache	13–9	0.06	39%	29 Apr →
nuke	13–2	0.11	32%	28 Apr →
mirage	1–13	-0.10	10%	22 Apr →
dust2	13–8	0.04	22%	22 Apr →
mirage	13–11	0.02	28%	13 Apr →
mirage	13–4	-0.02	22%	7 Apr →
nuke	12–12	0.07	28%	7 Apr →
dust2	15–15	0.00	31%	7 Apr →
mirage	5–13	-0.02	24%	6 Apr →
inferno	13–7	0.07	23%	6 Apr →
mirage	15–15	-0.00	37%	6 Apr →
anubis	10–13	-0.06	30%	6 Apr →
mirage	13–10	-0.02	21%	5 Apr →
dust2	12–12	-0.02	17%	4 Apr →
dust2	9–13	-0.06	28%	4 Apr →
dust2	6–13	-0.02	38%	4 Apr →
dust2	13–11	0.02	31%	31 Mar →
ancient	8–13	-0.02	28%	31 Mar →
inferno	11–13	-0.05	29%	31 Mar →
inferno	8–4	-0.10	11%	23 Sept →
overpass	5–13	-0.06	17%	21 Sept →
ancient	6–13	-0.05	24%	14 Sept →
dust2	13–16	-0.00	26%	12 Sept →
mirage	13–8	-0.04	32%	10 Sept →
overpass	13–6	0.03	33%	10 Sept →
ancient	14–16	0.01	29%	9 Sept →
dust2	13–10	0.02	28%	3 Sept →
mirage	8–13	-0.03	24%	2 Sept →
inferno	13–3	0.07	23%	2 Sept →
mirage	7–13	0.01	26%	1 Sept →
dust2	13–5	-0.05	30%	25 Aug →
mirage	2–6	0.01	43%	24 Aug →
dust2	8–13	-0.06	45%	22 Aug →
ancient	13–7	-0.06	21%	22 Aug →
inferno	13–4	0.05	53%	21 Aug →
mirage	16–12	-0.02	33%	20 Aug →
overpass	16–14	-0.01	20%	19 Aug →
mirage	11–13	-0.03	21%	19 Aug →
mirage	9–13	0.02	31%	19 Aug →
ancient	13–2	0.02	15%	18 Aug →
mirage	5–13	-0.08	12%	18 Aug →
train	8–13	-0.02	42%	16 Aug →
dust2	13–11	-0.01	24%	16 Aug →
ancient	11–13	-0.05	12%	12 Aug →
inferno	16–13	-0.04	12%	12 Aug →
mirage	8–13	-0.00	23%	11 Aug →
nuke	13–7	0.00	16%	7 Aug →
inferno	13–8	0.03	23%	5 Aug →