TheJFKExperience — CS2 Stats

76561198279663797[U:1:319398069]✓ No bans

1,815Tracked matches41%Win rate2020Tracked since

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating23,929Top 50% of 819 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)

CSDB Leaderboard#3193 of 14469 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanThe Global Elite

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

Aim80

Positioning65

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLLLWWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.0

Aggression8.6

Utility2.9

Positioning6.5

Opening Duels4.6

Clutch4.6

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 ropz 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 578ms 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

Aim8.0

Positioning6.5

Utility2.9

Mechanics7.4

Opening Duels4.6

Win Impact2.1

Composite 6.0/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time578ms−26ms

first ⅓ avg 603ms → last ⅓ avg 578ms

Headshot accuracy19.6%−11.8%

first ⅓ avg 31.4% → last ⅓ avg 19.6%

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

0.21Best rating — train 13–7

13–1Biggest win — inferno

4Longest win streak

L3Current streak

6–2In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 69% over 13nukeWeakest map · 37% over 30

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	30	11–19	37%	0.02
cache	C	15	6–9	40%	0.01
mirage	S	13	9–4	69%	0.01
ancient	B	10	5–5	50%	0.02
train	B	8	4–4	50%	0.07
dust2	A	8	5–3	63%	0.01
anubis	A	7	4–3	57%	0.02
inferno	—	4	2–2	50%	0.02
overpass	—	2	1–1	50%	0.07
office	—	2	0–2	0%	0.00
vertigo	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (37% over 30). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

255Matches

53%Win rate

1.27Avg K/D

82.6ADR

38%Headshot %

Clutches & streaks

43%1v1 clutch win

27%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	38%	1.01	16.5
Inferno	8	50%	1.09	19.0
Nuke	7	14%	0.69	12.7
Ancient	5	20%	1.35	21.4
Anubis	4	75%	0.91	17.0
Vertigo	2	50%	0.84	15.0
Dust2	2	0%	0.82	17.0
Cache	1	100%	2.00	26.0

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.

20.0%Headshot accuracy

37.6%Accuracy (enemy spotted)

43.8%Spray accuracy

83.3%Counter-strafing

11.0°Preaim

578msReaction time

41.8%T opening success

54.9%CT opening success

0.37Enemies flashed / flash

6.8%Flash assists

8.26HE damage / grenade

1.45Flashes / 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 0.3651 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	1–13	-0.03	15%	28 Aug →
train	5–13	0.02	12%	28 Aug →
inferno	4–13	0.00	29%	28 Aug →
cache	13–10	0.05	14%	28 Aug →
dust2	13–8	0.07	17%	27 Aug →
ancient	13–8	0.10	16%	27 Aug →
ancient	13–9	0.03	21%	27 Aug →
nuke	10–13	-0.00	18%	27 Aug →
overpass	2–13	0.02	19%	27 Aug →
mirage	5–13	0.03	11%	27 Aug →
cache	3–13	-0.03	10%	27 Aug →
cache	13–7	0.01	34%	27 Aug →
anubis	8–13	-0.01	12%	27 Aug →
anubis	13–6	0.03	18%	27 Aug →
anubis	6–13	0.04	30%	27 Aug →
ancient	7–13	0.00	19%	26 Aug →
cache	13–5	0.03	24%	26 Aug →
inferno	3–13	-0.03	7%	26 Aug →
ancient	9–13	-0.07	13%	26 Aug →
cache	11–13	-0.02	19%	26 Aug →
cache	13–10	0.04	30%	26 Aug →
ancient	13–8	-0.01	26%	26 Aug →
anubis	13–3	0.06	30%	26 Aug →
inferno	13–1	0.04	22%	26 Aug →
cache	9–13	-0.03	10%	26 Aug →
anubis	13–7	-0.01	8%	26 Aug →
dust2	14–16	-0.03	21%	26 Aug →
nuke	9–13	-0.03	20%	25 Aug →
nuke	3–13	0.01	53%	25 Aug →
anubis	12–12	0.02	25%	25 Aug →
nuke	10–13	0.02	18%	25 Aug →
dust2	0–6	-0.08	0%	25 Aug →
nuke	13–4	0.08	25%	25 Aug →
nuke	13–5	0.10	33%	25 Aug →
nuke	13–10	0.00	38%	24 Aug →
nuke	1–13	-0.09	7%	24 Aug →
nuke	13–3	0.08	22%	24 Aug →
nuke	8–13	0.05	23%	23 Aug →
inferno	13–4	0.08	22%	23 Aug →
mirage	9–13	0.01	30%	23 Aug →
train	13–11	-0.02	47%	23 Aug →
mirage	13–10	-0.00	23%	23 Aug →
mirage	8–13	-0.03	23%	23 Aug →
ancient	13–11	0.03	23%	23 Aug →
train	10–13	0.05	20%	23 Aug →
mirage	13–10	0.02	29%	23 Aug →
train	13–7	0.21	31%	23 Aug →
nuke	3–13	-0.02	24%	22 Aug →
overpass	13–2	0.12	56%	22 Aug →
dust2	13–11	-0.06	34%	22 Aug →
nuke	6–2	0.04	45%	22 Aug →
vertigo	7–13	0.04	70%	22 Aug →
nuke	13–5	0.06	29%	22 Aug →
nuke	13–3	0.06	22%	22 Aug →
ancient	13–10	0.04	33%	22 Aug →
ancient	12–12	0.05	22%	21 Aug →
mirage	10–8	-0.03	12%	21 Aug →
cache	3–13	-0.02	22%	21 Aug →
nuke	13–8	0.13	36%	21 Aug →
anubis	13–5	0.01	19%	21 Aug →
cache	12–12	-0.00	24%	21 Aug →
dust2	13–5	-0.03	17%	20 Aug →
dust2	13–5	0.03	16%	20 Aug →
nuke	3–13	-0.02	31%	20 Aug →
mirage	13–6	0.05	29%	20 Aug →
dust2	13–6	0.16	26%	20 Aug →
cache	13–10	0.02	12%	20 Aug →
dust2	9–13	-0.01	24%	20 Aug →
mirage	6–13	-0.04	23%	13 Aug →
nuke	5–13	-0.02	24%	13 Aug →
nuke	9–13	-0.01	25%	13 Aug →
nuke	12–12	0.04	24%	13 Aug →
nuke	9–13	-0.01	19%	13 Aug →
train	13–2	0.14	33%	12 Aug →
train	2–13	0.05	28%	12 Aug →
ancient	15–15	0.03	20%	12 Aug →
nuke	7–13	-0.02	27%	11 Aug →
nuke	13–11	0.04	19%	11 Aug →
mirage	13–5	0.02	55%	11 Aug →
nuke	13–3	-0.01	22%	11 Aug →
mirage	13–11	-0.01	25%	11 Aug →
nuke	8–13	0.01	33%	11 Aug →
train	13–4	0.10	28%	10 Aug →
mirage	13–10	0.03	23%	9 Aug →
ancient	8–13	-0.01	58%	9 Aug →
mirage	13–9	0.01	26%	7 Aug →
nuke	13–3	-0.08	26%	7 Aug →
cache	13–8	0.07	38%	7 Aug →
cache	7–13	0.02	28%	6 Aug →
nuke	8–13	0.02	31%	5 Aug →
nuke	12–12	0.01	41%	5 Aug →
office	7–13	0.03	47%	5 Aug →
office	8–13	-0.03	33%	5 Aug →
train	10–13	0.06	32%	5 Aug →
cache	6–13	0.10	44%	4 Aug →
mirage	13–6	0.05	33%	4 Aug →
nuke	10–13	0.03	36%	4 Aug →
cache	10–13	0.03	32%	4 Aug →
cache	0–7	-0.05	33%	3 Aug →
nuke	9–13	0.09	46%	3 Aug →