F-35 Lightning II — CS2 Stats

76561198150546259[U:1:190280531]Steam profile ↗✓ No bans

326Tracked matches52%Win rate2022Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim70

Positioning52

Utility20

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWWLLWLLLLW

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

Player DNA

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

Aim7.0

Aggression6.3

Utility2.0

Positioning5.2

Opening Duels3.5

Strong 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 ropz 84% playstyle similarity

Most alike: opening-fight frequency, 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.

T-side openings. Opening success drops from 56% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 674ms 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

Aim7.0

Positioning5.2

Utility2.0

Mechanics7.1

Opening Duels3.5

Win Impact5.6

Composite 5.4/10 (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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time685ms+10ms

first ⅓ avg 675ms → last ⅓ avg 685ms

Headshot accuracy27.9%+3.3%

first ⅓ avg 24.5% → last ⅓ avg 27.9%

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

0.16Best rating — anubis 13–7

13–1Biggest win — mirage

4Longest win streak

W2Current streak

6–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

overpassBest map · 86% over 7infernoWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	23	6–17	26%	-0.01
mirage	A	20	12–8	60%	0.02
inferno	D	15	3–12	20%	-0.00
nuke	S	13	9–4	69%	0.02
overpass	S	7	6–1	86%	0.01
ancient	S	6	4–2	67%	-0.01
anubis	S	6	4–2	67%	0.03
train	—	4	2–2	50%	0.01
vertigo	—	3	1–2	33%	-0.04
cache	—	2	1–1	50%	0.06
office	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

27.5%Headshot accuracy

31.5%Accuracy (enemy spotted)

32.1%Spray accuracy

82.1%Counter-strafing

8.9°Preaim

674msReaction time

32.0%T opening success

56.1%CT opening success

0.39Enemies flashed / flash

0.0%Flash assists

5.58HE damage / grenade

2.83Flashes / 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 0.3935 — 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 32.0323% — below the 40% mark we flag

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.

20% win rate across 15 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
mirage	13–11	0.09	11%	9 Aug →
mirage	13–10	0.02	35%	9 Jul →
inferno	6–13	-0.06	31%	9 Jul →
dust2	6–13	-0.08	7%	9 Jul →
ancient	13–6	0.01	27%	9 Jul →
mirage	8–13	0.01	15%	8 Jul →
dust2	3–13	-0.06	33%	11 Jun →
cache	2–9	0.04	30%	2 Jun →
dust2	0–7	-0.05	50%	14 May →
dust2	13–7	-0.01	19%	13 May →
cache	13–4	0.08	37%	13 May →
dust2	11–13	-0.01	23%	1 May →
dust2	13–8	0.00	22%	28 Apr →
train	13–5	0.06	24%	27 Apr →
ancient	13–3	-0.01	19%	27 Apr →
inferno	12–12	-0.07	30%	26 Apr →
train	13–6	-0.01	26%	17 Apr →
dust2	12–12	-0.11	16%	9 Apr →
dust2	3–13	-0.06	17%	9 Apr →
office	13–10	0.04	40%	8 Apr →
vertigo	11–13	0.00	25%	8 Apr →
nuke	12–12	-0.07	41%	8 Apr →
nuke	0–7	-0.00	42%	5 Apr →
train	6–13	-0.05	34%	5 Apr →
anubis	9–13	0.06	31%	2 Apr →
overpass	13–8	-0.03	24%	1 Apr →
mirage	3–13	-0.05	44%	1 Apr →
dust2	13–4	0.08	31%	1 Apr →
vertigo	13–10	0.00	33%	31 Mar →
nuke	13–3	0.00	19%	31 Mar →
inferno	4–13	-0.01	41%	31 Mar →
ancient	12–12	0.00	24%	30 Mar →
mirage	5–13	-0.03	20%	30 Mar →
dust2	11–13	-0.02	19%	30 Mar →
overpass	13–2	-0.03	22%	30 Mar →
mirage	13–2	0.12	36%	30 Mar →
dust2	3–13	-0.04	27%	29 Mar →
mirage	13–8	0.06	39%	29 Mar →
mirage	13–9	0.03	29%	29 Mar →
inferno	7–13	-0.01	35%	29 Mar →
dust2	7–13	-0.04	32%	29 Mar →
nuke	13–7	0.01	23%	29 Mar →
mirage	13–6	0.08	43%	29 Mar →
vertigo	3–13	-0.12	25%	28 Mar →
mirage	4–2	-0.04	29%	28 Mar →
dust2	7–13	-0.08	38%	28 Mar →
dust2	13–7	0.01	24%	28 Mar →
dust2	0–6	-0.04	38%	27 Mar →
anubis	13–10	-0.02	9%	25 Mar →
nuke	13–10	0.04	27%	25 Mar →
ancient	13–5	0.02	33%	25 Mar →
mirage	4–13	0.05	22%	24 Mar →
mirage	16–14	-0.01	38%	24 Mar →
nuke	13–6	0.03	24%	24 Mar →
dust2	13–11	0.07	39%	24 Mar →
anubis	13–11	0.03	23%	24 Mar →
inferno	15–15	-0.00	30%	23 Mar →
mirage	13–1	-0.02	29%	23 Mar →
dust2	10–13	0.02	19%	23 Mar →
nuke	13–10	-0.01	32%	22 Mar →
overpass	13–5	0.01	42%	22 Mar →
train	3–11	0.04	16%	22 Mar →
dust2	4–13	0.10	32%	21 Mar →
dust2	8–13	-0.02	48%	20 Mar →
inferno	10–13	0.04	29%	19 Mar →
inferno	3–13	-0.07	27%	18 Mar →
nuke	13–8	0.09	35%	17 Mar →
mirage	13–7	0.11	33%	16 Mar →
mirage	13–8	-0.01	28%	16 Mar →
mirage	11–13	0.04	24%	16 Mar →
mirage	4–13	-0.04	21%	16 Mar →
dust2	5–13	0.01	19%	16 Mar →
inferno	4–13	-0.02	27%	15 Mar →
nuke	11–13	0.02	24%	14 Mar →
ancient	9–13	0.01	20%	13 Mar →
mirage	13–8	0.03	30%	13 Mar →
overpass	9–13	0.01	24%	13 Mar →
inferno	9–13	-0.01	18%	13 Mar →
dust2	16–14	-0.01	31%	12 Mar →
overpass	13–5	0.04	29%	12 Mar →
ancient	13–7	-0.07	24%	12 Mar →
dust2	15–15	0.05	24%	12 Mar →
overpass	13–6	0.01	21%	12 Mar →
nuke	13–10	0.04	25%	12 Mar →
nuke	13–5	0.12	26%	11 Mar →
dust2	8–13	0.03	24%	11 Mar →
inferno	1–7	0.03	25%	11 Mar →
anubis	13–7	0.16	26%	11 Mar →
anubis	7–1	-0.01	0%	11 Mar →
inferno	4–13	0.00	24%	10 Mar →
inferno	13–7	-0.00	29%	9 Mar →
mirage	10–13	0.04	22%	9 Mar →
inferno	4–13	-0.00	27%	9 Mar →
inferno	13–2	0.03	32%	8 Mar →
nuke	4–13	0.02	22%	7 Mar →
nuke	7–1	-0.06	33%	7 Mar →
inferno	13–9	0.09	21%	6 Mar →
mirage	11–13	0.01	29%	5 Mar →
anubis	9–13	-0.01	22%	5 Mar →
overpass	13–10	0.08	26%	4 Mar →