StinsoN — CS2 Stats

DE76561198092717091[U:1:132451363]Steam profile ↗✓ No bans

1,962Tracked matches48%Win rate2020Tracked since

3,434Hours in CS

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating25,908Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#2730 of 29967 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	41.5%	49.9%
Shot accuracy	19.5%	13.4%
Kill/death ratio	1.51	1.12
Match win rate	53.5%	48.4%

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Performance scores

Aim84

Positioning62

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLWLLLLWWW

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.

Aim8.4

Aggression8.5

Utility6.5

Positioning6.2

Opening Duels3.9

Clutch3.4

Strong CT-side opener

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 jL 95% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 56% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4

Positioning6.2

Utility6.5

Mechanics7.1

Opening Duels3.9

Win Impact4.4

Composite 7.0/10 (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 time523ms−30ms

first ⅓ avg 553ms → last ⅓ avg 523ms

Headshot accuracy22.6%−0.6%

first ⅓ avg 23.2% → last ⅓ avg 22.6%

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

0.31Best rating — eldorado 9–3

13–2Biggest win — inferno

7Longest win streak

7–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 67% over 15dust2Weakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	26	15–11	58%	0.03
ancient	C	25	11–14	44%	0.01
dust2	C	17	7–10	41%	0.02
cache	S	15	10–5	67%	-0.00
anubis	A	13	8–5	62%	0.03
overpass	—	3	1–2	33%	-0.02
eldorado	—	1	1–0	100%	0.31

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

240,165Lifetime kills

1.51K/D · Top 10% of Red band

8,046Matches

53.5%Match win rate · Top 25% of Red band

41.5%Headshot %

19.5%Shot accuracy · Top 10% of Red band

18,691MVPs

3,434Hours (in match)

7,819Bombs planted

2,300Bombs defused

Most-used weapons

AK-4774,403

AWP68,503

M4A4 / M4A1-S49,517

P2000 / USP-S9,729

P905,634

Desert Eagle5,264

Glock-184,587

P2504,411

Tec-93,537

Five-SeveN3,034

Lifetime map wins

27,055dust2

15,272inferno

5,429nuke

4,223office

2,492cbble

1,884train

722vertigo

465dust

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

Faceit stats

Combat

817Matches

54%Win rate

1.49Avg K/D

85.3ADR

36%Headshot %

Clutches & streaks

37%1v1 clutch win

26%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	67	64%	1.28	17.0
Inferno	43	51%	1.25	17.9
Anubis	41	34%	1.34	19.3
Dust2	26	50%	1.29	18.1
Overpass	24	75%	1.36	17.2
Nuke	15	27%	1.54	17.1
Cache	11	36%	1.67	17.6
Vertigo	2	0%	0.82	13.5

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.

21.6%Headshot accuracy

35.6%Accuracy (enemy spotted)

37.0%Spray accuracy

82.0%Counter-strafing

8.3°Preaim

525msReaction time

35.4%T opening success

56.2%CT opening success

0.66Enemies flashed / flash

8.9%Flash assists

12.87HE damage / grenade

7.93Flashes / 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 35.4271% — 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.

41% win rate across 17 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
inferno	13–9	0.02	10%	28 Aug →
cache	6–13	0.03	16%	28 Aug →
anubis	13–11	0.06	22%	28 Aug →
anubis	9–13	-0.00	21%	28 Aug →
dust2	3–13	-0.04	25%	28 Aug →
dust2	11–13	-0.02	21%	21 Aug →
inferno	7–13	-0.04	33%	21 Aug →
inferno	13–11	0.01	16%	21 Aug →
dust2	7–0	0.04	50%	21 Aug →
eldorado	9–3	0.31	36%	12 Aug →
overpass	4–9	-0.02	8%	12 Aug →
inferno	9–6	0.23	26%	12 Aug →
anubis	9–13	-0.01	16%	12 Aug →
ancient	13–9	0.05	12%	12 Aug →
ancient	5–13	-0.05	29%	8 Aug →
cache	7–13	-0.04	24%	8 Aug →
ancient	13–3	-0.03	25%	8 Aug →
inferno	11–13	0.09	25%	8 Aug →
cache	15–15	0.04	25%	6 Aug →
ancient	7–13	0.02	21%	6 Aug →
dust2	13–7	-0.00	21%	6 Aug →
anubis	13–6	0.13	18%	6 Aug →
cache	5–13	-0.00	23%	6 Aug →
cache	13–9	0.00	13%	31 Jul →
inferno	13–2	0.04	36%	31 Jul →
inferno	13–4	-0.03	13%	31 Jul →
cache	13–11	-0.09	24%	31 Jul →
dust2	13–5	-0.00	29%	31 Jul →
ancient	9–13	-0.01	19%	28 Jul →
ancient	9–13	-0.02	8%	28 Jul →
dust2	6–13	-0.04	29%	28 Jul →
inferno	2–13	-0.10	21%	28 Jul →
cache	13–3	0.04	30%	28 Jul →
ancient	9–13	0.05	38%	26 Jul →
cache	9–13	-0.03	19%	26 Jul →
dust2	13–8	0.14	41%	26 Jul →
inferno	16–14	0.03	24%	23 Jul →
inferno	13–9	0.00	26%	23 Jul →
ancient	13–5	0.06	22%	23 Jul →
ancient	13–8	-0.01	32%	23 Jul →
inferno	7–13	0.07	33%	17 Jul →
inferno	13–6	0.06	50%	17 Jul →
ancient	6–13	-0.06	29%	17 Jul →
cache	13–7	-0.02	16%	17 Jul →
ancient	13–9	-0.04	41%	17 Jul →
ancient	9–13	-0.06	24%	16 Jul →
inferno	10–13	0.00	28%	16 Jul →
ancient	9–13	-0.06	23%	12 Jul →
inferno	10–13	-0.03	29%	12 Jul →
cache	13–10	0.03	38%	12 Jul →
cache	13–8	-0.03	21%	11 Jul →
anubis	13–11	-0.00	23%	11 Jul →
anubis	13–8	0.03	35%	11 Jul →
inferno	13–6	0.05	19%	11 Jul →
cache	13–6	-0.02	17%	11 Jul →
ancient	13–10	0.09	10%	11 Jul →
ancient	7–13	0.03	18%	10 Jul →
inferno	13–8	0.10	24%	10 Jul →
cache	13–3	0.03	14%	10 Jul →
dust2	10–13	-0.03	21%	10 Jul →
dust2	9–13	-0.03	11%	3 Jul →
anubis	14–16	0.03	29%	3 Jul →
cache	13–8	0.04	20%	1 Jul →
inferno	13–7	0.03	14%	1 Jul →
anubis	7–13	-0.07	12%	1 Jul →
inferno	16–13	0.09	17%	19 Jun →
cache	13–8	-0.01	14%	12 Jun →
ancient	13–10	0.01	17%	11 Jun →
inferno	11–13	0.03	19%	11 Jun →
dust2	14–16	0.06	33%	7 Jun →
ancient	6–13	0.02	18%	7 Jun →
inferno	7–13	-0.02	17%	6 Jun →
dust2	10–13	0.03	23%	30 May →
ancient	7–13	0.05	36%	30 May →
anubis	13–8	0.05	22%	30 May →
dust2	17–19	0.02	13%	24 May →
anubis	13–11	0.07	31%	24 May →
anubis	7–13	0.05	28%	23 May →
dust2	13–5	0.09	39%	23 May →
inferno	13–6	-0.01	12%	23 May →
inferno	13–11	-0.02	23%	22 May →
dust2	5–13	-0.01	21%	22 May →
inferno	7–13	-0.04	29%	22 May →
inferno	13–10	0.05	29%	22 May →
anubis	16–12	0.02	15%	21 May →
ancient	16–13	0.06	22%	13 May →
ancient	9–13	0.09	29%	13 May →
anubis	13–4	0.04	16%	13 May →
inferno	8–13	0.05	35%	13 May →
overpass	7–13	-0.07	20%	9 May →
ancient	13–5	0.03	22%	9 May →
inferno	11–13	0.05	25%	5 May →
ancient	4–13	-0.04	10%	5 May →
ancient	13–9	0.03	23%	5 May →
dust2	13–8	0.11	28%	26 Apr →
overpass	13–6	0.04	22%	23 Apr →
dust2	16–12	0.05	14%	22 Apr →
ancient	8–13	0.00	17%	18 Apr →
ancient	13–2	0.06	24%	18 Apr →
dust2	5–13	-0.00	36%	17 Apr →