JJ Storm — CS2 Stats

76561198814032760[U:1:853767032]Steam profile ↗✓ No bans

945Tracked matches21%Win rate2021Tracked since

CSDB Rating3.5 LearningClutch Specialist

Premier CS Rating6,532Light Blue band · top ~71.5% of ranked players (population est.)

CSDB Leaderboard#22758 of 29968 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim47

Positioning42

Utility59

0–100 skill scores via Leetify.

Recent form

COLD38–57–5Last 10038%Win rateWLLTLLWLLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim4.7

Aggression5.8

Utility5.9

Positioning4.2

Opening Duels1.5

Clutch9.4

Effective flashesReliable in 1v1s

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 645ms 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

Aim4.7

Positioning4.2

Utility5.9

Mechanics3.9

Opening Duels1.5

Win Impact0.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time653ms+50ms

first ⅓ avg 603ms → last ⅓ avg 653ms

Headshot accuracy11.6%−8.6%

first ⅓ avg 20.2% → last ⅓ avg 11.6%

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

0.14Best rating — mirage 13–5

13–1Biggest win — inferno

6Longest win streak

4–10In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 56% over 9officeWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	21	7–14	33%	0.00
cache	B	15	8–7	53%	0.01
anubis	C	14	5–9	36%	-0.02
dust2	D	12	3–9	25%	0.01
ancient	C	11	4–7	36%	-0.00
nuke	C	11	4–7	36%	-0.01
inferno	A	9	5–4	56%	0.01
office	D	5	0–5	0%	-0.03
eldorado	—	1	1–0	100%	0.10
vertigo	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

14Matches

64%Win rate

0.67Avg K/D

56.8ADR

45%Headshot %

Clutches & streaks

67%1v1 clutch win

17%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	75%	0.84	9.0
Anubis	3	33%	0.51	8.7
Nuke	2	100%	1.04	11.0
Cache	2	50%	0.54	7.5
Dust2	1	0%	0.74	14.0
Ancient	1	100%	0.46	6.0

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.

12.1%Headshot accuracy

35.7%Accuracy (enemy spotted)

40.4%Spray accuracy

67.6%Counter-strafing

11.0°Preaim

645msReaction time

31.7%T opening success

40.4%CT opening success

0.75Enemies flashed / flash

2.5%Flash assists

11.85HE damage / grenade

6.59Flashes / 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 12.0978% — below the 15% mark we flag
Aim Training →
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 31.7312% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–5	-0.01	7%	28 Aug →
mirage	11–13	-0.01	14%	28 Aug →
mirage	6–13	-0.03	18%	27 Aug →
dust2	15–15	0.02	19%	27 Aug →
cache	5–13	-0.03	16%	27 Aug →
mirage	4–13	-0.06	2%	26 Aug →
inferno	13–8	-0.04	16%	26 Aug →
anubis	9–13	-0.03	15%	26 Aug →
dust2	6–13	0.00	22%	25 Aug →
inferno	11–13	0.02	10%	25 Aug →
anubis	13–10	0.05	15%	25 Aug →
mirage	4–13	-0.07	3%	24 Aug →
mirage	13–10	-0.03	19%	24 Aug →
ancient	7–13	-0.08	0%	24 Aug →
ancient	5–13	-0.07	7%	23 Aug →
nuke	14–16	-0.03	14%	23 Aug →
office	8–13	-0.01	21%	22 Aug →
nuke	6–13	-0.08	18%	22 Aug →
inferno	7–13	-0.08	0%	21 Aug →
cache	9–13	0.00	13%	21 Aug →
mirage	13–10	-0.03	11%	21 Aug →
mirage	8–13	-0.05	8%	20 Aug →
eldorado	9–5	0.10	15%	20 Aug →
anubis	9–13	-0.04	4%	19 Aug →
nuke	6–13	-0.01	14%	18 Aug →
mirage	11–13	0.00	12%	18 Aug →
cache	9–13	0.12	8%	18 Aug →
office	6–13	0.00	18%	18 Aug →
nuke	12–12	-0.04	13%	17 Aug →
cache	13–8	0.06	10%	17 Aug →
anubis	11–13	-0.05	9%	17 Aug →
cache	13–5	-0.09	0%	17 Aug →
ancient	16–14	0.04	13%	17 Aug →
nuke	8–8	0.04	9%	16 Aug →
cache	13–8	-0.01	10%	16 Aug →
mirage	7–13	-0.05	5%	16 Aug →
cache	9–13	0.06	19%	16 Aug →
ancient	9–13	-0.04	14%	15 Aug →
cache	13–10	0.04	27%	15 Aug →
anubis	13–16	-0.06	8%	15 Aug →
cache	13–9	-0.03	6%	14 Aug →
nuke	9–13	0.03	7%	14 Aug →
office	8–13	-0.01	17%	13 Aug →
anubis	8–13	-0.02	11%	13 Aug →
anubis	13–16	-0.04	10%	12 Aug →
dust2	14–16	-0.00	7%	11 Aug →
dust2	13–3	0.10	18%	8 Aug →
nuke	9–4	-0.04	9%	8 Aug →
ancient	10–13	0.04	12%	8 Aug →
nuke	13–11	-0.00	16%	8 Aug →
inferno	10–13	0.01	9%	8 Aug →
mirage	11–13	0.02	15%	8 Aug →
mirage	13–5	0.02	15%	7 Aug →
inferno	13–11	-0.03	14%	7 Aug →
cache	4–13	-0.01	11%	7 Aug →
dust2	8–13	0.03	13%	7 Aug →
mirage	3–13	-0.00	20%	7 Aug →
dust2	15–15	-0.02	13%	7 Aug →
dust2	11–13	-0.07	14%	6 Aug →
anubis	13–5	-0.04	14%	6 Aug →
ancient	13–8	0.01	16%	6 Aug →
mirage	11–13	0.02	16%	5 Aug →
anubis	7–13	-0.01	24%	5 Aug →
dust2	13–10	-0.04	10%	5 Aug →
mirage	5–13	-0.05	6%	5 Aug →
cache	13–3	0.10	12%	4 Aug →
inferno	13–5	0.11	16%	4 Aug →
ancient	11–13	0.01	9%	3 Aug →
dust2	4–13	-0.03	23%	3 Aug →
anubis	2–13	-0.10	14%	2 Aug →
mirage	3–13	-0.05	25%	2 Aug →
vertigo	13–8	-0.06	21%	24 Jul →
dust2	10–13	-0.05	18%	24 Jul →
anubis	13–9	-0.02	10%	22 Jul →
cache	10–13	-0.04	11%	21 Jul →
mirage	9–13	0.07	29%	19 Jul →
inferno	1–8	-0.01	0%	19 Jul →
inferno	13–1	-0.01	10%	18 Jul →
office	8–13	-0.06	73%	18 Jul →
office	0–13	-0.08	0%	18 Jul →
nuke	3–13	-0.01	27%	17 Jul →
anubis	13–7	0.08	21%	17 Jul →
dust2	13–11	0.06	22%	17 Jul →
mirage	13–5	0.14	39%	17 Jul →
ancient	13–7	0.07	38%	16 Jul →
ancient	13–6	0.09	25%	16 Jul →
cache	13–2	0.10	23%	15 Jul →
dust2	5–13	0.08	28%	14 Jul →
mirage	13–7	0.05	21%	14 Jul →
inferno	13–9	0.09	29%	14 Jul →
anubis	13–9	0.08	27%	14 Jul →
mirage	13–2	0.12	24%	14 Jul →
mirage	4–13	-0.01	12%	12 Jul →
ancient	15–15	-0.05	5%	12 Jul →
anubis	3–13	-0.12	14%	12 Jul →
cache	6–13	-0.09	13%	12 Jul →
mirage	13–6	0.01	7%	12 Jul →
ancient	9–13	-0.03	18%	12 Jul →
nuke	13–6	0.02	10%	12 Jul →
nuke	13–3	-0.03	22%	12 Jul →