Jett™ — CS2 Stats

76561198355901021[U:1:395635293]✓ No bans

126Tracked matches43%Win rate2021Tracked since

410Hours in CS

CSDB Rating4.7 DevelopingPassive Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim62

Positioning51

Utility25

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLLWWWWLLLW

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

Player DNA

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

Aim6.2

Aggression3.1

Utility2.5

Positioning5.1

Opening Duels0.0

Clutch4.0

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 77% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim 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

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

Reaction time. 631ms 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

Aim6.2

Positioning5.1

Utility2.5

Mechanics7.6

Opening Duels0.4

Win Impact2.8

Composite 4.7/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time619ms−6ms

first ⅓ avg 625ms → last ⅓ avg 619ms

Headshot accuracy15.5%−4.8%

first ⅓ avg 20.3% → last ⅓ avg 15.5%

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

0.25Best rating — inferno 9–1

13–1Biggest win — office

5Longest win streak

L2Current streak

6–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 62% over 13mirageWeakest map · 34% over 29

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	29	10–19	34%	-0.01
inferno	B	20	9–11	45%	0.00
ancient	A	13	8–5	62%	-0.01
overpass	C	13	5–8	38%	0.00
nuke	A	11	6–5	55%	0.01
dust2	A	5	3–2	60%	0.01
train	—	4	0–4	0%	-0.02
office	—	3	3–0	100%	0.05
cache	—	1	0–1	0%	0.09
anubis	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (34% over 29). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,707Lifetime kills

1.08K/D · Top 50% of tracked players

827Matches

53.3%Match win rate · Top 10% of tracked players

45.8%Headshot % · Top 50% of tracked players

14.4%Shot accuracy · Top 50% of tracked players

3,533MVPs

410Hours (in match)

1,223Bombs planted

572Bombs defused

Most-used weapons

AK-474,852

M4A4 / M4A1-S3,413

AWP1,423

P2000 / USP-S1,201

Desert Eagle1,038

Glock-18945

Knife535

SSG 08419

Galil AR366

SG 553358

Lifetime map wins

2,331inferno

938dust2

825nuke

289vertigo

108office

98train

22lake

14dust

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

Faceit stats

Combat

12Matches

33%Win rate

1.03Avg K/D

65.9ADR

40%Headshot %

Clutches & streaks

40%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	4	25%	0.90	13.5
Nuke	3	33%	1.04	13.7
Ancient	2	50%	1.29	14.5
Mirage	1	0%	0.71	10.0
Overpass	1	100%	1.75	14.0
Anubis	1	0%	0.62	10.0

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.

14.8%Headshot accuracy

34.4%Accuracy (enemy spotted)

40.2%Spray accuracy

84.0%Counter-strafing

11.4°Preaim

631msReaction time

33.2%T opening success

22.9%CT opening success

0.33Enemies flashed / flash

9.3%Flash assists

7.61HE damage / grenade

2.75Flashes / 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 14.7657% — below the 15% mark we flag
Aim Training →
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 0.3263 — 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 33.178% — 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.

34% win rate across 29 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
mirage	2–13	-0.07	13%	28 Aug →
inferno	10–13	0.01	14%	28 Aug →
nuke	13–10	-0.03	8%	27 Aug →
ancient	13–10	0.04	14%	27 Aug →
ancient	13–11	0.02	12%	23 Aug →
mirage	13–3	0.02	12%	22 Aug →
cache	7–11	0.09	21%	8 Aug →
ancient	5–13	-0.07	24%	29 Mar →
inferno	4–13	-0.03	10%	29 Mar →
inferno	9–6	0.08	28%	15 Mar →
mirage	3–13	-0.07	20%	14 Mar →
nuke	9–13	-0.03	10%	13 Mar →
overpass	13–5	-0.04	17%	12 Mar →
mirage	13–8	0.00	15%	12 Mar →
nuke	13–2	0.20	13%	7 Mar →
office	13–1	0.07	30%	1 Mar →
office	13–9	0.00	29%	1 Mar →
inferno	8–13	-0.05	7%	28 Feb →
dust2	13–8	0.03	19%	28 Feb →
mirage	1–13	-0.07	12%	27 Feb →
inferno	7–13	-0.05	16%	27 Feb →
overpass	8–13	-0.02	7%	27 Feb →
mirage	10–13	0.01	16%	22 Feb →
ancient	13–6	0.00	12%	22 Feb →
overpass	8–13	-0.04	16%	21 Feb →
inferno	11–13	-0.06	7%	21 Feb →
inferno	9–3	0.05	16%	14 Feb →
mirage	9–13	0.01	9%	13 Feb →
mirage	13–11	-0.03	15%	13 Feb →
overpass	7–0	0.08	12%	13 Feb →
ancient	7–13	-0.10	9%	12 Feb →
overpass	5–13	0.04	30%	12 Feb →
mirage	16–12	0.01	17%	12 Feb →
mirage	8–13	0.03	10%	8 Feb →
overpass	6–7	0.01	31%	8 Feb →
nuke	9–13	-0.00	11%	7 Feb →
anubis	3–13	-0.10	22%	23 Jan →
nuke	1–13	-0.11	20%	18 Jan →
nuke	13–10	-0.03	11%	17 Jan →
mirage	8–13	-0.02	17%	17 Jan →
mirage	8–13	-0.01	16%	16 Jan →
mirage	0–11	-0.07	0%	7 Jan →
nuke	11–13	0.01	33%	3 Jan →
nuke	14–16	-0.01	11%	25 Dec →
inferno	1–8	-0.04	40%	23 Dec →
dust2	10–13	-0.02	22%	23 Dec →
inferno	3–13	-0.06	14%	20 Dec →
ancient	8–13	-0.07	5%	19 Dec →
mirage	13–2	0.09	20%	6 Dec →
overpass	5–13	-0.03	9%	6 Dec →
ancient	13–10	0.05	21%	28 Nov →
ancient	13–11	-0.06	15%	14 Nov →
ancient	10–13	0.02	18%	13 Nov →
train	4–9	-0.01	15%	9 Nov →
inferno	9–5	0.12	19%	9 Nov →
inferno	8–13	0.01	12%	8 Nov →
mirage	7–13	0.03	31%	8 Nov →
inferno	9–1	0.25	23%	8 Nov →
mirage	13–8	-0.03	12%	7 Nov →
mirage	14–16	-0.03	10%	7 Nov →
nuke	16–14	-0.00	14%	7 Nov →
mirage	11–13	-0.05	13%	2 Nov →
ancient	13–10	-0.01	16%	1 Nov →
inferno	13–9	-0.04	16%	1 Nov →
inferno	13–9	-0.03	6%	1 Nov →
overpass	13–6	0.05	38%	31 Oct →
mirage	11–13	-0.03	25%	31 Oct →
mirage	12–12	0.02	24%	31 Oct →
mirage	13–4	-0.05	26%	31 Oct →
mirage	2–13	0.01	22%	31 Oct →
mirage	11–13	0.05	28%	26 Oct →
nuke	13–4	0.09	22%	26 Oct →
mirage	7–13	-0.06	36%	26 Oct →
overpass	8–13	0.03	33%	25 Oct →
train	4–13	-0.03	24%	25 Oct →
inferno	13–6	0.02	18%	24 Oct →
mirage	5–13	-0.07	38%	24 Oct →
overpass	13–10	-0.03	11%	18 Oct →
nuke	13–10	0.04	23%	18 Oct →
office	13–10	0.06	10%	17 Oct →
inferno	13–4	0.00	17%	17 Oct →
inferno	0–8	-0.08	7%	15 Oct →
overpass	4–13	-0.03	13%	15 Oct →
overpass	13–11	-0.01	15%	14 Oct →
mirage	13–10	-0.04	10%	12 Oct →
mirage	13–10	0.04	27%	11 Oct →
ancient	7–13	-0.05	13%	11 Oct →
inferno	13–7	0.05	26%	9 Oct →
overpass	13–16	-0.03	12%	3 Oct →
ancient	13–9	0.04	15%	3 Oct →
mirage	13–11	-0.04	16%	28 Sept →
dust2	13–10	0.03	31%	28 Sept →
mirage	2–13	-0.02	25%	28 Sept →
dust2	13–2	0.05	18%	28 Sept →
train	12–12	-0.01	17%	27 Sept →
dust2	5–13	-0.04	28%	27 Sept →
ancient	13–10	-0.00	17%	27 Sept →
inferno	8–13	-0.04	29%	26 Sept →
inferno	7–13	-0.08	12%	6 Aug →
train	5–13	-0.01	8%	15 Nov →