StorMvQ — CS2 Stats

DE76561198143933496[U:1:183667768]Steam profile ↗✓ No bans

1,023Tracked matches47%Win rate2020Tracked since

4,793Hours in CS8Hrs last 2 wks

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating25,515Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#3715 of 35985 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=1,873), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Red band median
Headshot rate	47.7%	49.9%
Shot accuracy	22.1%	13.4%
Kill/death ratio	1.04	1.12
Match win rate	48.4%	48.4%

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Performance scores

Aim87

Positioning62

Utility76

0–100 skill scores via Leetify.

Recent form

COLD60–39–1Last 10060%Win rateLLLWLWWLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.7

Aggression6.8

Utility7.6

Positioning6.2

Opening Duels2.9

Clutch4.0

Sharp aimerExcellent counter-strafingHigh utility contribution

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 Twistzz 95% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 630ms 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

Aim8.7

Positioning6.2

Utility7.6

Mechanics8.5

Opening Duels2.9

Win Impact3.9

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time635ms+19ms

first ⅓ avg 616ms → last ⅓ avg 635ms

Headshot accuracy24.6%+4.5%

first ⅓ avg 20.1% → last ⅓ avg 24.6%

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

0.20Best rating — cache 13–2

13–0Biggest win — cache

10Longest win streak

L3Current streak

7–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	22	9–13	41%	0.01
inferno	S	22	16–6	73%	0.03
anubis	S	19	14–5	74%	0.03
cache	A	19	11–8	58%	0.03
dust2	D	9	3–6	33%	0.02
overpass	S	5	4–1	80%	0.03
ancient	—	3	3–0	100%	0.05
nuke	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

204,007Lifetime kills

1.04K/D

6,333Matches

48.4%Match win rate

47.7%Headshot %

22.1%Shot accuracy · Top 1% of Red band

19,675MVPs

5,508Hours (in match)

6,836Bombs planted

1,530Bombs defused

Most-used weapons

AK-4780,496

AWP36,688

M4A4 / M4A1-S25,184

P2000 / USP-S12,071

Desert Eagle11,092

Glock-185,538

Tec-93,608

P2503,048

FAMAS3,000

Knife2,647

Lifetime map wins

10,904inferno

9,670dust2

1,836vertigo

1,777train

1,775nuke

1,396cbble

368office

122lake

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

Faceit stats

Combat

742Matches

54%Win rate

1.32Avg K/D

88.9ADR

41%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	39	56%	1.34	18.7
Anubis	31	65%	1.40	17.4
Mirage	31	58%	1.34	19.0
Cache	15	73%	1.51	18.3
Dust2	11	27%	1.12	18.3
Vertigo	4	25%	0.92	14.8
Overpass	4	75%	0.92	17.0
Nuke	3	100%	1.18	18.7

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.

24.6%Headshot accuracy

38.7%Accuracy (enemy spotted)

39.1%Spray accuracy

88.1%Counter-strafing

8.7°Preaim

630msReaction time

37.2%T opening success

45.8%CT opening success

0.66Enemies flashed / flash

9.8%Flash assists

13.12HE damage / grenade

12.17Flashes / 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 37.2059% — 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.

33% win rate across 9 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
mirage	7–13	0.01	31%	28 Aug →
mirage	8–13	-0.06	29%	28 Aug →
anubis	6–13	-0.05	26%	27 Aug →
cache	13–7	0.06	17%	27 Aug →
anubis	4–13	-0.02	31%	26 Aug →
inferno	13–7	0.13	27%	20 Aug →
mirage	13–3	0.06	33%	20 Aug →
anubis	11–13	0.08	28%	19 Aug →
mirage	5–13	-0.02	9%	18 Aug →
mirage	5–13	0.02	24%	11 Aug →
inferno	11–13	0.07	20%	9 Aug →
nuke	3–5	-0.07	43%	8 Aug →
inferno	13–11	0.08	35%	5 Aug →
dust2	3–13	0.03	14%	5 Aug →
mirage	9–13	0.04	16%	2 Aug →
anubis	13–3	0.12	29%	30 Jul →
mirage	13–11	-0.02	22%	28 Jul →
cache	5–13	-0.00	24%	28 Jul →
overpass	13–6	0.02	18%	23 Jul →
cache	13–11	0.06	31%	23 Jul →
cache	8–13	-0.05	15%	22 Jul →
cache	5–13	0.02	22%	19 Jul →
inferno	13–9	0.02	25%	19 Jul →
inferno	8–13	0.04	31%	19 Jul →
inferno	13–10	-0.03	27%	18 Jul →
inferno	10–13	-0.02	27%	18 Jul →
cache	13–4	-0.01	35%	18 Jul →
anubis	13–3	0.07	14%	13 Jul →
anubis	13–5	0.04	19%	12 Jul →
inferno	13–8	0.05	23%	12 Jul →
ancient	13–6	0.03	17%	8 Jul →
mirage	10–13	-0.03	21%	8 Jul →
dust2	6–13	-0.05	28%	8 Jul →
dust2	12–12	0.03	14%	5 Jul →
ancient	13–7	0.08	14%	5 Jul →
mirage	13–7	0.04	31%	1 Jul →
cache	2–13	-0.03	18%	1 Jul →
anubis	13–10	-0.00	16%	27 Jun →
overpass	13–9	0.09	24%	27 Jun →
inferno	16–14	0.04	21%	24 Jun →
anubis	13–3	0.12	21%	24 Jun →
inferno	13–8	0.05	22%	22 Jun →
overpass	13–1	0.06	23%	22 Jun →
cache	5–13	-0.00	45%	11 Jun →
overpass	11–13	-0.02	20%	1 Jun →
cache	10–13	-0.01	27%	1 Jun →
cache	13–5	0.07	11%	17 May →
cache	13–4	0.08	22%	14 May →
cache	13–2	0.20	20%	13 May →
cache	9–13	0.02	23%	13 May →
inferno	13–7	-0.01	9%	10 May →
mirage	13–16	-0.01	25%	9 May →
cache	13–1	0.06	24%	9 May →
anubis	13–3	0.03	37%	6 May →
cache	5–13	-0.00	28%	6 May →
anubis	9–13	0.05	31%	6 May →
cache	13–8	-0.01	17%	4 May →
cache	13–0	0.06	6%	3 May →
cache	13–10	0.01	27%	1 May →
cache	13–9	-0.02	14%	26 Apr →
inferno	11–13	-0.03	15%	26 Apr →
anubis	9–13	0.04	24%	22 Apr →
inferno	13–9	0.04	17%	20 Apr →
inferno	1–13	-0.12	0%	13 Apr →
mirage	10–13	-0.00	23%	13 Apr →
inferno	13–9	0.02	21%	13 Apr →
dust2	14–16	-0.01	17%	12 Apr →
anubis	13–11	0.01	17%	12 Apr →
anubis	13–7	0.05	19%	12 Apr →
mirage	5–13	0.01	11%	12 Apr →
inferno	10–0	0.03	9%	12 Apr →
mirage	16–13	0.06	27%	9 Apr →
anubis	13–6	-0.01	12%	9 Apr →
inferno	13–9	0.09	26%	9 Apr →
dust2	7–13	0.02	30%	7 Apr →
inferno	11–13	-0.01	20%	7 Apr →
mirage	13–10	0.05	19%	7 Apr →
mirage	13–10	-0.04	23%	4 Apr →
mirage	13–10	0.06	23%	4 Apr →
dust2	13–9	0.07	22%	4 Apr →
anubis	13–6	-0.07	8%	4 Apr →
anubis	16–13	-0.01	17%	3 Apr →
dust2	13–9	0.03	19%	3 Apr →
inferno	13–5	0.07	18%	3 Apr →
inferno	13–7	0.11	31%	3 Apr →
mirage	13–6	0.04	24%	3 Apr →
mirage	9–13	0.05	31%	2 Apr →
ancient	16–14	0.03	11%	2 Apr →
anubis	13–11	0.03	13%	2 Apr →
dust2	9–13	-0.01	25%	1 Apr →
anubis	13–4	0.06	19%	1 Apr →
overpass	13–8	0.01	20%	1 Apr →
anubis	13–5	0.08	14%	30 Mar →
mirage	13–3	0.04	22%	30 Mar →
dust2	16–13	0.01	11%	29 Mar →
mirage	9–13	-0.02	34%	29 Mar →
inferno	13–7	0.07	19%	29 Mar →
mirage	6–13	-0.10	17%	28 Mar →
inferno	13–8	0.04	14%	26 Mar →
mirage	5–13	-0.04	38%	26 Mar →