King Jumpsh0t — CS2 Stats

US76561198353161221[U:1:392895493]Steam profile ↗✓ No bans

819Tracked matches68%Win rate2023Tracked since

437Hours in CS

CSDB Rating4.8 Developing

Premier CS Rating12,924Blue band · top ~39.4% of ranked players (population est.)

CSDB Leaderboard#12041 of 17364 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim44

Positioning61

Utility38

0–100 skill scores via Leetify.

Recent form

HOT53–41–6Last 10053%Win rateWWWWWTWLWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim4.4

Aggression7.2

Utility3.8

Positioning6.1

Opening Duels2.8

Clutch3.2

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 ropz 83% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

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 57% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4

Positioning6.1

Utility3.8

Mechanics3.9

Opening Duels3.4

Win Impact10.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time567ms−58ms

first ⅓ avg 624ms → last ⅓ avg 567ms

Headshot accuracy11.4%−0.1%

first ⅓ avg 11.6% → last ⅓ avg 11.4%

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

0.13Best rating — dust2 13–3

13–3Biggest win — dust2

5Longest win streak

W5Current streak

5–9In matches decided by ≤2 rounds

16Overtime games

Map breakdown

ancientBest map · 63% over 19infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	38	20–18	53%	0.00
mirage	B	22	11–11	50%	0.01
ancient	A	19	12–7	63%	0.01
inferno	D	9	3–6	33%	0.02
nuke	A	9	5–4	56%	0.01
anubis	—	3	2–1	67%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,714Lifetime kills

0.97K/D

1,172Matches

47.6%Match win rate · Top 50% of tracked players

28.9%Headshot %

1.5%Shot accuracy

2,140MVPs

437Hours (in match)

1,310Bombs planted

333Bombs defused

Most-used weapons

M4A4 / M4A1-S5,061

AWP3,367

AK-472,866

MAC-101,331

P2000 / USP-S1,108

Glock-18751

XM1014580

MP7366

Desert Eagle293

Galil AR184

Lifetime map wins

2,521nuke

1,963inferno

1,737dust2

303train

39vertigo

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

Faceit stats

Combat

20Matches

65%Win rate

1.06Avg K/D

71.5ADR

38%Headshot %

Clutches & streaks

36%1v1 clutch win

28%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	57%	0.89	12.4
Mirage	5	80%	1.20	18.0
Ancient	4	50%	0.82	14.8
Inferno	3	67%	1.59	12.7
Cache	1	100%	0.88	15.0

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.

11.8%Headshot accuracy

34.8%Accuracy (enemy spotted)

37.0%Spray accuracy

67.6%Counter-strafing

12.8°Preaim

572msReaction time

25.4%T opening success

57.3%CT opening success

0.53Enemies flashed / flash

5.3%Flash assists

9.29HE damage / grenade

3.86Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.8299° — above the 12° mark we flag
Aim Training →
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 11.7577% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8574 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	0.01	15%	28 Aug →
mirage	13–5	0.05	12%	28 Aug →
ancient	13–9	0.01	15%	28 Aug →
mirage	13–6	-0.00	15%	28 Aug →
dust2	12–4	0.00	15%	28 Aug →
dust2	15–15	0.03	15%	28 Aug →
dust2	13–7	-0.02	14%	28 Aug →
inferno	2–12	-0.04	19%	28 Aug →
dust2	13–5	-0.01	11%	27 Aug →
inferno	8–13	0.03	11%	27 Aug →
dust2	4–13	-0.05	7%	27 Aug →
nuke	13–4	-0.05	2%	27 Aug →
nuke	13–10	0.02	12%	27 Aug →
nuke	6–13	-0.02	13%	26 Aug →
ancient	16–14	-0.00	13%	26 Aug →
dust2	16–12	-0.05	17%	26 Aug →
mirage	13–6	0.00	8%	26 Aug →
dust2	11–13	0.03	15%	26 Aug →
dust2	13–3	0.06	7%	26 Aug →
ancient	13–6	0.04	13%	26 Aug →
ancient	13–10	0.07	9%	26 Aug →
nuke	7–13	0.00	8%	26 Aug →
mirage	13–7	0.01	13%	26 Aug →
inferno	11–13	0.10	7%	25 Aug →
dust2	13–7	0.10	17%	25 Aug →
mirage	13–6	-0.00	8%	25 Aug →
dust2	8–13	-0.06	13%	25 Aug →
ancient	3–13	-0.03	11%	25 Aug →
mirage	13–5	0.03	13%	25 Aug →
ancient	15–15	0.06	6%	24 Aug →
mirage	8–13	-0.02	2%	24 Aug →
ancient	13–8	-0.01	6%	24 Aug →
dust2	13–4	-0.02	19%	24 Aug →
ancient	3–13	-0.02	17%	24 Aug →
mirage	13–7	-0.01	17%	24 Aug →
mirage	13–16	0.06	11%	24 Aug →
dust2	13–11	0.04	7%	24 Aug →
nuke	8–13	-0.02	11%	20 Aug →
inferno	8–13	0.00	21%	20 Aug →
mirage	14–16	0.00	15%	19 Aug →
dust2	1–13	-0.07	13%	18 Aug →
dust2	13–16	-0.01	9%	18 Aug →
ancient	3–13	-0.03	2%	18 Aug →
dust2	13–5	0.03	15%	18 Aug →
inferno	7–13	-0.03	15%	17 Aug →
dust2	15–15	0.02	5%	17 Aug →
dust2	11–13	-0.02	18%	17 Aug →
nuke	13–9	0.06	12%	17 Aug →
dust2	13–5	0.02	15%	17 Aug →
dust2	7–13	-0.00	12%	17 Aug →
ancient	14–16	-0.01	11%	17 Aug →
inferno	13–7	0.00	11%	17 Aug →
dust2	13–10	0.04	18%	17 Aug →
dust2	7–13	-0.06	17%	17 Aug →
ancient	13–5	0.09	16%	17 Aug →
ancient	12–16	0.03	7%	16 Aug →
dust2	16–14	-0.03	13%	16 Aug →
mirage	10–13	0.01	11%	16 Aug →
mirage	13–9	-0.01	7%	16 Aug →
mirage	13–7	0.06	7%	16 Aug →
inferno	13–11	0.02	11%	16 Aug →
mirage	11–13	-0.02	4%	16 Aug →
dust2	6–13	-0.08	5%	16 Aug →
nuke	13–7	0.08	11%	16 Aug →
dust2	13–8	0.08	8%	16 Aug →
ancient	13–10	0.06	11%	16 Aug →
mirage	5–13	0.03	2%	16 Aug →
dust2	11–13	0.02	6%	16 Aug →
dust2	13–7	-0.02	13%	16 Aug →
nuke	13–11	-0.02	20%	16 Aug →
dust2	10–13	-0.05	6%	15 Aug →
mirage	15–15	-0.01	14%	15 Aug →
dust2	10–13	-0.05	15%	14 Aug →
mirage	10–13	0.01	16%	14 Aug →
ancient	6–1	-0.02	0%	14 Aug →
anubis	14–16	-0.05	14%	14 Aug →
mirage	7–13	0.01	14%	14 Aug →
inferno	15–15	0.07	19%	14 Aug →
dust2	13–7	0.02	14%	14 Aug →
dust2	10–13	-0.06	15%	13 Aug →
mirage	13–4	0.03	19%	13 Aug →
mirage	13–6	0.02	14%	13 Aug →
dust2	13–7	0.03	10%	13 Aug →
dust2	11–13	0.02	9%	13 Aug →
ancient	13–7	0.05	0%	13 Aug →
anubis	13–4	0.01	12%	13 Aug →
mirage	10–13	-0.03	16%	13 Aug →
nuke	9–13	0.03	8%	12 Aug →
anubis	13–10	0.02	7%	12 Aug →
ancient	16–13	-0.01	7%	12 Aug →
inferno	13–10	0.02	8%	12 Aug →
mirage	10–13	-0.02	19%	12 Aug →
ancient	15–15	0.02	7%	12 Aug →
dust2	9–13	-0.01	20%	11 Aug →
dust2	13–3	0.13	12%	11 Aug →
dust2	13–10	-0.00	9%	11 Aug →
ancient	13–5	-0.07	8%	11 Aug →
dust2	6–13	0.03	10%	11 Aug →
dust2	13–3	-0.03	7%	11 Aug →
dust2	13–10	0.03	11%	11 Aug →