st0rm^_- — CS2 Stats

76561198162685314[U:1:202419586]Steam profile ↗

187Tracked matches60%Win rate2020Tracked since

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating19,408Purple band · top ~10.9% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning53

Utility48

0–100 skill scores via Leetify.

Recent form

COLD55–37–8Last 10055%Win rateLLLLWLLWLW

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim8.0

Aggression5.0

Utility4.8

Positioning5.3

Opening Duels0.9

Clutch0.0

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 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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. 599ms 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

Positioning5.3

Utility4.8

Mechanics7.3

Opening Duels0.9

Win Impact8.3

Composite 6.2/10 (Solid), 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-0.02−0.05

first ⅓ avg 0.03 → last ⅓ avg -0.02

Reaction time578ms−35ms

first ⅓ avg 614ms → last ⅓ avg 578ms

Headshot accuracy18.7%−4.3%

first ⅓ avg 23.0% → last ⅓ avg 18.7%

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 — office 13–2

13–1Biggest win — dust2

6Longest win streak

L4Current streak

6–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 83% over 12overpassWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	24	9–15	38%	-0.02
nuke	S	15	11–4	73%	0.03
vertigo	B	13	6–7	46%	0.00
inferno	S	12	10–2	83%	-0.01
mirage	S	9	6–3	67%	-0.00
anubis	B	8	4–4	50%	0.02
overpass	D	6	2–4	33%	-0.03
cache	S	5	4–1	80%	-0.00
ancient	C	5	2–3	40%	0.02
train	—	2	0–2	0%	0.03
office	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

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

Faceit stats

Combat

107Matches

58%Win rate

1.22Avg K/D

65.3ADR

41%Headshot %

Clutches & streaks

14%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	8	38%	0.86	12.0
Inferno	6	50%	0.79	10.2
Mirage	3	33%	0.81	14.3
Anubis	3	33%	1.36	17.3
Cache	2	50%	0.79	13.5
Overpass	1	100%	1.22	11.0

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.

19.5%Headshot accuracy

36.0%Accuracy (enemy spotted)

41.6%Spray accuracy

82.7%Counter-strafing

8.6°Preaim

599msReaction time

31.4%T opening success

35.8%CT opening success

0.57Enemies flashed / flash

5.5%Flash assists

7.93HE damage / grenade

7.66Flashes / 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
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 31.3667% — below the 40% mark we flag

Spend your practice time on Overpass

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 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	2–13	-0.16	0%	28 Aug →
inferno	8–13	-0.11	12%	26 Aug →
dust2	9–13	-0.08	18%	19 Aug →
dust2	10–13	-0.03	15%	19 Aug →
dust2	13–4	-0.06	11%	31 Jul →
anubis	7–13	0.01	21%	31 Jul →
dust2	5–13	-0.06	29%	29 Jul →
mirage	13–7	-0.03	10%	28 Jul →
dust2	4–13	-0.03	26%	24 Jul →
dust2	13–5	-0.01	23%	24 Jul →
nuke	13–6	-0.00	22%	22 Jul →
inferno	13–5	-0.02	18%	22 Jul →
cache	7–13	-0.04	14%	21 Jul →
dust2	9–13	-0.07	19%	21 Jul →
dust2	13–6	0.01	22%	21 Jul →
dust2	13–7	-0.00	31%	17 Jul →
dust2	13–3	0.03	22%	17 Jul →
dust2	3–13	-0.03	20%	16 Jul →
inferno	13–2	-0.00	13%	16 Jul →
mirage	5–13	-0.05	17%	16 Jul →
mirage	13–2	-0.01	22%	15 Jul →
nuke	13–10	-0.01	17%	14 Jul →
nuke	13–10	0.03	16%	14 Jul →
cache	13–8	0.02	27%	14 Jul →
dust2	13–1	-0.04	19%	13 Jul →
dust2	10–13	-0.03	8%	9 Jul →
mirage	13–10	-0.02	19%	9 Jul →
cache	13–5	0.06	31%	9 Jul →
cache	13–10	-0.04	23%	7 Jul →
dust2	13–6	0.07	25%	7 Jul →
mirage	13–8	-0.01	18%	7 Jul →
anubis	13–7	0.04	16%	30 Jun →
ancient	12–12	0.02	11%	26 Jun →
cache	13–3	0.00	20%	26 Jun →
nuke	10–13	-0.01	19%	25 Jun →
inferno	13–5	-0.04	29%	25 Jun →
nuke	13–3	-0.04	17%	25 Jun →
dust2	11–13	-0.05	12%	11 Jun →
anubis	10–13	-0.06	11%	11 Jun →
mirage	16–12	0.03	21%	9 Jun →
dust2	9–13	-0.02	32%	4 Jun →
dust2	6–13	-0.03	36%	3 Jun →
dust2	12–12	0.02	14%	29 May →
anubis	13–8	0.05	24%	28 May →
train	11–13	0.03	24%	26 May →
dust2	12–12	0.07	28%	26 May →
inferno	6–13	0.01	24%	25 May →
dust2	12–12	-0.07	32%	25 May →
inferno	13–5	0.06	20%	24 May →
train	11–13	0.03	27%	24 May →
nuke	7–13	0.09	28%	27 Apr →
dust2	5–13	-0.08	27%	26 Apr →
vertigo	3–13	-0.07	31%	26 Apr →
ancient	13–11	0.10	25%	15 Apr →
vertigo	5–13	-0.03	37%	15 Apr →
inferno	13–7	0.01	10%	15 Apr →
overpass	9–13	-0.07	25%	15 Apr →
vertigo	6–13	-0.00	36%	10 Mar →
vertigo	13–10	0.01	19%	10 Mar →
vertigo	13–2	0.14	21%	7 Mar →
nuke	12–12	-0.06	13%	7 Mar →
vertigo	2–13	-0.10	13%	6 Mar →
anubis	12–16	-0.02	28%	6 Mar →
anubis	13–1	0.12	31%	4 Mar →
overpass	0–13	-0.15	0%	4 Mar →
nuke	13–2	0.01	11%	4 Mar →
inferno	16–13	0.02	20%	3 Mar →
vertigo	5–13	-0.02	26%	3 Mar →
nuke	13–2	0.12	29%	3 Mar →
inferno	13–7	-0.01	24%	3 Mar →
overpass	13–7	0.06	20%	2 Mar →
inferno	13–6	-0.03	26%	2 Mar →
mirage	13–9	-0.05	18%	2 Mar →
vertigo	13–16	0.01	31%	2 Mar →
vertigo	13–11	0.03	27%	28 Feb →
dust2	13–10	0.07	30%	28 Feb →
nuke	12–3	0.06	21%	11 Feb →
overpass	8–13	0.02	21%	11 Feb →
vertigo	13–10	0.09	25%	11 Feb →
mirage	6–13	0.05	20%	10 Feb →
ancient	13–8	0.02	24%	10 Feb →
nuke	13–8	0.10	38%	10 Feb →
dust2	8–0	0.13	32%	10 Feb →
vertigo	12–12	0.01	29%	10 Feb →
office	13–2	0.16	17%	7 Feb →
nuke	13–7	0.07	26%	7 Feb →
mirage	12–12	0.08	17%	4 Feb →
ancient	1–13	-0.08	17%	4 Feb →
ancient	15–15	0.05	23%	4 Feb →
nuke	13–10	0.01	23%	2 Feb →
nuke	8–13	0.01	19%	2 Feb →
overpass	9–13	0.03	22%	2 Feb →
nuke	13–11	0.04	20%	2 Feb →
overpass	13–5	-0.05	26%	2 Feb →
inferno	16–14	0.02	13%	1 Feb →
anubis	11–13	0.03	21%	31 Jan →
vertigo	13–5	-0.02	23%	31 Jan →
anubis	13–9	-0.03	17%	26 Jan →
inferno	16–14	-0.01	15%	18 Dec →
vertigo	13–11	0.01	22%	18 Dec →