spiny[B] -dsb- — CS2 Stats

DE76561197983836905[U:1:23571177]Steam profile ↗✓ No bans

399Tracked matches47%Win rate2020Tracked since

3,728Hours in CS5Hrs last 2 wks

CSDB Rating5.8 SolidPositional Player

CSDB Leaderboard#102899 of 259139 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,698 -1,198 2 Feb – 27 May · 12 days played

21,038Peak Premier in tracked matches

30Days played since 2025-12-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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	Level 6 median	Level 7 median	vs Level 7
Headshot rate	53.0%	44.8%	45.7%	above
Shot accuracy	18.6%	12.4%	12.7%	above
Kill/death ratio	1.66	1.03	1.05	above
Match win rate	43.9%	45.2%	45.7%	1.8% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim68

Positioning57

Utility55

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLLWLWLLLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −1.3pp headshot accuracy · +60ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 23%
Avg reaction 623ms

Last 10

2–8 · 20% win rate
Avg rating -0.04
Avg headshot accuracy 22%
Avg reaction 627ms

Last 20

8–12 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 23%
Avg reaction 596ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim6.8

Utility5.5

Positioning5.7

Opening Duels3.9

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 608ms 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

Aim6.8

Positioning5.7

Utility5.5

Mechanics6.2

Opening Duels4.5

Win Impact3.9

Composite 5.8/10 (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+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time610ms−45ms

first ⅓ avg 655ms → last ⅓ avg 610ms

Headshot accuracy22.9%+3.9%

first ⅓ avg 19.0% → last ⅓ avg 22.9%

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.

Personal bests

0.13Best match rating · 13–1 · ancient, 16 Apr →

45%Best headshot accuracy · 2–13 · dust2, 16 Feb →

391msFastest reaction time · 13–2 · dust2, 8 Oct →

13–1Biggest win · ancient, 16 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

8–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 64% over 11infernoWeakest map · 39% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	11–13	46%	-0.02
inferno	C	23	9–14	39%	-0.02
ancient	A	12	7–5	58%	-0.01
cache	A	11	7–4	64%	0.00
overpass	B	10	5–5	50%	-0.03
nuke	A	9	5–4	56%	0.01
mirage	A	5	3–2	60%	-0.01
anubis	—	3	1–2	33%	-0.02
train	—	3	2–1	67%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

192,410Lifetime kills

1.66K/D · Top 5% of Level 6 players

6,396Matches

43.9%Match win rate

53.0%Headshot % · Top 25% of Level 6 players

18.6%Shot accuracy · Top 10% of Level 6 players

17,468MVPs

2,199Hours (in match)

4,352Bombs planted

2,578Bombs defused

Most-used weapons

M4A4 / M4A1-S52,827

AK-4742,049

AWP22,690

P2000 / USP-S14,996

P25010,412

Desert Eagle9,581

Glock-185,783

MP74,629

FAMAS3,671

Galil AR1,952

Lifetime map wins

19,390dust2

9,550inferno

4,205nuke

2,353train

829cbble

583vertigo

282ar_shoots

234dust

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

Faceit stats

Combat

198Matches

47%Win rate

0.89Avg K/D

69.1ADR

45%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1	100%	0.25	5.0
Train	1	100%	0.89	16.0

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.

22.7%Headshot accuracy

31.9%Accuracy (enemy spotted)

38.7%Spray accuracy

77.7%Counter-strafing

10.3°Preaim

608msReaction time

46.0%T opening success

50.2%CT opening success

0.57Enemies flashed / flash

13.3%Flash assists

11.35HE damage / grenade

5.36Flashes / match

Recommended for you

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.

39% win rate across 23 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
dust2	4–13	-0.10	26%	28 Oct →
dust2	6–13	-0.02	24%	22 Oct →
dust2	13–4	0.02	26%	22 Oct →
inferno	10–13	-0.03	16%	21 Oct →
cache	13–4	-0.05	23%	21 Oct →
nuke	11–13	-0.03	14%	21 Oct →
mirage	8–13	-0.04	16%	21 Oct →
cache	10–13	-0.03	19%	16 Oct →
ancient	7–13	-0.07	28%	16 Oct →
dust2	10–13	-0.04	28%	16 Oct →
mirage	13–8	0.03	17%	10 Oct →
overpass	13–2	0.02	15%	9 Oct →
nuke	13–5	0.05	29%	9 Oct →
anubis	10–0	0.01	20%	9 Oct →
dust2	6–13	-0.03	32%	9 Oct →
anubis	6–13	-0.05	24%	9 Oct →
inferno	13–5	0.02	20%	9 Oct →
ancient	6–13	-0.03	23%	9 Oct →
inferno	6–13	-0.01	20%	9 Oct →
train	13–5	-0.03	31%	9 Oct →
dust2	13–2	-0.09	36%	8 Oct →
inferno	13–10	-0.03	14%	8 Oct →
cache	13–7	0.11	31%	8 Oct →
inferno	0–13	-0.05	39%	29 Aug →
ancient	13–11	0.09	34%	29 Aug →
inferno	13–4	0.04	21%	29 Aug →
dust2	13–7	0.08	24%	29 Aug →
inferno	8–13	-0.01	15%	27 May →
inferno	5–13	-0.05	26%	20 May →
overpass	10–13	-0.05	5%	20 May →
ancient	6–13	-0.04	15%	15 May →
dust2	5–13	-0.08	26%	15 May →
inferno	2–13	-0.07	21%	15 May →
nuke	13–8	0.01	13%	10 May →
inferno	5–13	-0.02	24%	10 May →
cache	13–11	-0.01	17%	10 May →
dust2	13–4	0.08	27%	4 May →
dust2	11–13	-0.01	20%	1 May →
cache	13–11	-0.04	14%	1 May →
inferno	13–8	0.07	19%	1 May →
cache	13–11	-0.06	18%	1 May →
cache	11–13	0.10	26%	1 May →
cache	11–13	-0.03	20%	1 May →
anubis	12–12	-0.03	21%	1 May →
cache	5–13	-0.01	9%	1 May →
cache	13–10	0.04	18%	1 May →
cache	13–2	0.03	21%	1 May →
nuke	13–11	0.10	32%	28 Apr →
inferno	14–16	-0.05	18%	28 Apr →
dust2	13–7	-0.00	16%	28 Apr →
inferno	13–2	0.06	20%	28 Apr →
inferno	7–13	-0.04	38%	16 Apr →
inferno	7–13	-0.05	20%	16 Apr →
ancient	13–1	0.13	25%	16 Apr →
nuke	13–10	-0.04	8%	13 Apr →
dust2	7–13	-0.03	17%	13 Apr →
nuke	3–13	-0.02	29%	12 Mar →
dust2	2–13	-0.15	45%	16 Feb →
dust2	10–13	-0.03	18%	16 Feb →
ancient	13–7	-0.03	10%	15 Feb →
dust2	10–13	-0.06	32%	15 Feb →
inferno	3–13	-0.06	7%	15 Feb →
ancient	13–11	-0.02	19%	13 Feb →
train	13–6	-0.00	33%	13 Feb →
mirage	6–13	0.07	18%	13 Feb →
mirage	13–8	-0.06	29%	13 Feb →
inferno	3–13	-0.03	26%	13 Feb →
overpass	4–0	-0.03	20%	13 Feb →
dust2	13–4	-0.01	25%	13 Feb →
ancient	6–13	-0.02	12%	13 Feb →
inferno	14–16	-0.04	16%	12 Feb →
inferno	7–2	-0.05	30%	12 Feb →
overpass	13–5	-0.04	15%	12 Feb →
inferno	13–11	-0.02	13%	10 Feb →
mirage	13–5	-0.05	15%	10 Feb →
dust2	11–13	0.04	20%	10 Feb →
overpass	5–13	-0.08	18%	2 Feb →
dust2	13–4	-0.06	11%	2 Feb →
inferno	13–10	-0.02	11%	2 Feb →
ancient	11–13	-0.02	14%	2 Feb →
overpass	10–13	-0.01	20%	2 Feb →
inferno	13–4	-0.04	23%	2 Feb →
dust2	13–7	-0.05	31%	2 Feb →
ancient	13–11	-0.01	20%	1 Feb →
overpass	13–9	-0.01	20%	1 Feb →
dust2	12–12	0.02	12%	1 Feb →
dust2	13–1	-0.04	21%	1 Feb →
overpass	9–13	-0.01	12%	1 Feb →
ancient	13–6	-0.02	12%	1 Feb →
nuke	13–9	-0.02	16%	29 Jan →
dust2	13–7	-0.02	26%	29 Jan →
ancient	13–9	-0.09	10%	26 Jan →
inferno	8–13	0.00	31%	26 Jan →
dust2	4–13	-0.02	20%	26 Jan →
overpass	13–10	-0.03	22%	26 Jan →
dust2	13–6	0.03	23%	26 Jan →
nuke	4–13	0.07	19%	23 Dec →
overpass	7–13	-0.08	16%	23 Dec →
nuke	5–13	-0.04	27%	11 Dec →
train	9–13	-0.07	27%	8 Dec →