Jasttton — CS2 Stats

76561198329594646[U:1:369328918]Steam profile ↗

155Tracked matches28%Win rate2021Tracked since

355Hours in CS

CSDB Rating4.2 DevelopingPassive Rifler

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning38

Utility14

0–100 skill scores via Leetify.

Recent form

COLD52–39–9Last 10052%Win rateWTLLLLLLLL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

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

Aim6.4

Aggression0.6

Utility1.4

Positioning3.8

Opening Duels0.0

Clutch0.0

Excellent counter-strafingStrong CT-side openerLimited 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 67% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

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 28% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 695ms 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

Aim6.4

Positioning3.8

Utility1.4

Mechanics8.6

Opening Duels0.0

Win Impact0.0

Composite 4.2/10 (Developing), 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-0.00−0.05

first ⅓ avg 0.04 → last ⅓ avg -0.00

Reaction time697ms+1ms

first ⅓ avg 695ms → last ⅓ avg 697ms

Headshot accuracy30.3%−10.2%

first ⅓ avg 40.5% → last ⅓ avg 30.3%

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

0.17Best rating — cache 16–7

16–2Biggest win — inferno

13Longest win streak

4–7In matches decided by ≤2 rounds

71Overtime games

Map breakdown

infernoBest map · 67% over 43mirageWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	43	29–14	67%	0.03
cache	S	17	11–6	65%	0.05
dust2	D	15	4–11	27%	0.01
ancient	D	11	2–9	18%	-0.03
mirage	D	7	1–6	14%	0.02
vertigo	—	3	2–1	67%	0.05
nuke	—	2	2–0	100%	0.01
train	—	1	0–1	0%	-0.06
overpass	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,177Lifetime kills

1.27K/D · Top 25% of tracked players

738Matches

48.9%Match win rate · Top 50% of tracked players

48.1%Headshot % · Top 50% of tracked players

18.8%Shot accuracy · Top 10% of tracked players

2,181MVPs

355Hours (in match)

904Bombs planted

277Bombs defused

Most-used weapons

AK-475,962

M4A4 / M4A1-S3,826

AWP1,678

P2000 / USP-S1,100

Desert Eagle683

Glock-18682

UMP-45618

P250542

Tec-9539

Five-SeveN274

Lifetime map wins

3,589dust2

1,884inferno

443vertigo

97nuke

47train

19lake

2cbble

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

Faceit stats

Combat

1Matches

0%Win rate

0.44Avg K/D

54.2ADR

71%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

30.6%Headshot accuracy

27.5%Accuracy (enemy spotted)

25.0%Spray accuracy

88.8%Counter-strafing

9.6°Preaim

695msReaction time

12.9%T opening success

28.1%CT opening success

0.41Enemies flashed / flash

2.5%Flash assists

6.79HE damage / grenade

2.80Flashes / 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 0.4066 — 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 12.9047% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–3	0.00	17%	30 Oct →
ancient	15–15	0.01	23%	29 Oct →
dust2	0–13	-0.08	0%	18 Oct →
ancient	5–13	-0.07	14%	14 Sept →
ancient	10–13	-0.06	37%	12 Sept →
ancient	1–13	-0.02	32%	9 Sept →
train	2–13	-0.06	16%	9 Sept →
ancient	5–13	-0.03	28%	5 Sept →
ancient	6–13	-0.02	28%	5 Sept →
dust2	6–13	-0.01	38%	4 Sept →
inferno	1–13	-0.01	31%	4 Sept →
dust2	13–11	0.04	21%	3 Sept →
dust2	6–13	-0.04	42%	3 Sept →
inferno	10–13	-0.04	33%	29 Aug →
dust2	4–13	-0.07	38%	29 Aug →
nuke	13–5	-0.03	26%	26 Aug →
ancient	13–11	-0.03	47%	26 Aug →
vertigo	3–13	-0.02	19%	26 Sept →
inferno	13–8	0.04	29%	25 Apr →
mirage	13–3	0.00	38%	19 Apr →
inferno	6–13	0.06	29%	30 Jan →
inferno	9–7	0.01	47%	26 Jan →
inferno	9–3	0.15	29%	26 Jan →
dust2	9–13	0.07	38%	22 Jan →
ancient	3–13	-0.07	33%	21 Jan →
inferno	9–13	0.01	36%	16 Nov →
nuke	13–8	0.06	23%	16 Nov →
mirage	3–6	0.03	23%	15 Nov →
inferno	8–16	-0.03	42%	3 Sept →
inferno	14–16	0.03	38%	26 Jun →
mirage	7–16	0.00	37%	25 Jun →
vertigo	16–10	0.07	26%	21 Jun →
inferno	16–13	0.01	42%	20 Jun →
dust2	16–10	-0.01	35%	19 Jun →
mirage	14–16	0.09	50%	19 Jun →
inferno	9–16	0.15	36%	19 Jun →
mirage	10–16	-0.03	29%	19 Jun →
inferno	16–7	0.05	27%	19 Jun →
mirage	5–16	0.04	55%	18 Jun →
vertigo	16–7	0.10	43%	18 Jun →
overpass	16–14	-0.04	26%	15 Jun →
dust2	8–16	-0.04	22%	15 Jun →
mirage	12–16	-0.03	25%	15 Jun →
dust2	16–10	0.11	31%	15 Jun →
dust2	16–7	0.13	40%	15 Jun →
dust2	11–16	-0.01	43%	11 Jun →
inferno	14–16	-0.03	34%	11 Jun →
cache	5–16	0.00	38%	10 Jun →
inferno	16–3	0.02	48%	10 Jun →
cache	16–3	0.11	40%	10 Jun →
dust2	14–16	-0.00	36%	10 Jun →
inferno	5–16	0.01	34%	9 Jun →
cache	7–16	-0.03	33%	9 Jun →
inferno	16–4	0.02	45%	8 Jun →
dust2	15–15	-0.03	26%	7 Jun →
inferno	15–15	0.03	45%	4 Jun →
dust2	14–16	-0.02	38%	4 Jun →
dust2	15–15	0.08	42%	4 Jun →
ancient	13–16	0.03	21%	4 Jun →
ancient	16–6	0.01	29%	4 Jun →
inferno	16–6	-0.03	16%	4 Jun →
inferno	16–13	0.02	23%	4 Jun →
cache	14–16	0.03	36%	4 Jun →
ancient	14–16	-0.04	28%	1 Jun →
cache	16–12	0.01	40%	1 Jun →
cache	16–5	0.07	45%	1 Jun →
inferno	16–11	0.01	16%	1 Jun →
cache	16–7	0.04	30%	31 May →
inferno	16–5	-0.02	43%	31 May →
inferno	16–7	0.05	26%	30 May →
cache	16–12	0.03	40%	30 May →
inferno	16–11	0.08	41%	30 May →
inferno	16–10	0.00	36%	30 May →
cache	16–6	0.07	46%	30 May →
inferno	16–4	0.08	43%	30 May →
inferno	16–5	0.13	39%	30 May →
inferno	16–8	0.05	44%	29 May →
inferno	6–16	-0.03	38%	28 May →
cache	16–7	0.09	33%	28 May →
cache	15–15	0.08	42%	27 May →
inferno	16–10	0.05	35%	27 May →
inferno	16–8	0.05	23%	25 May →
cache	16–7	0.17	41%	25 May →
inferno	8–3	0.01	88%	25 May →
inferno	15–15	0.09	36%	25 May →
cache	16–6	0.07	27%	24 May →
cache	16–12	0.03	57%	24 May →
cache	15–15	0.04	32%	24 May →
inferno	16–7	0.06	53%	24 May →
inferno	16–6	-0.05	57%	24 May →
cache	16–7	-0.00	37%	23 May →
inferno	16–13	0.13	52%	23 May →
inferno	16–12	0.03	42%	23 May →
inferno	16–4	0.03	36%	22 May →
cache	7–16	-0.04	59%	22 May →
inferno	6–1	-0.07	0%	22 May →
inferno	15–15	0.07	41%	22 May →
inferno	15–15	0.03	38%	22 May →
inferno	16–2	0.06	44%	21 May →
inferno	16–11	0.05	37%	21 May →