Magic Turtle — CS2 Stats

US76561199510316896[U:1:1550051168]Steam profile ↗✓ No bans

939Tracked matches45%Win rate2024Tracked since

518Hours in CS

CSDB Rating5.3 DevelopingAggressive Rifler

Premier CS Rating14,077Blue band · top ~33.3% of ranked players (population est.)

CSDB Leaderboard#20459 of 31417 tracked

WingmanSilver Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	31.7%	41.7%	44.1%	12.3% short
Shot accuracy	0.2%	8.8%	11.4%	11.2% short
Kill/death ratio	1.12	0.97	1.03	above
Match win rate	46.7%	43.8%	45.2%	above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim70

Positioning66

Utility21

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateLLWWWLWWLL

Last 10 vs previous 10: +0pp win rate · -0.07 avg rating

Player DNA

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

Aim7.0

Aggression10.0

Utility2.1

Positioning6.6

Opening Duels5.7

Strong CT-side openerLimited utility dependence

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 sh1ro 82% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim profile; 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

Strengths

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 67% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 568ms 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

Aim7.0

Positioning6.6

Utility2.1

Mechanics6.4

Opening Duels5.7

Win Impact3.3

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time579ms−19ms

first ⅓ avg 598ms → last ⅓ avg 579ms

Headshot accuracy18.2%+3.1%

first ⅓ avg 15.1% → last ⅓ avg 18.2%

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 — nuke 13–8

13–0Biggest win — inferno

5Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

18Overtime games

Map breakdown

anubisBest map · 60% over 10nukeWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	14–16	47%	0.04
nuke	D	17	5–12	29%	0.04
mirage	B	14	7–7	50%	0.07
inferno	B	12	6–6	50%	0.02
anubis	A	10	6–4	60%	0.03
ancient	C	10	4–6	40%	-0.00
cache	C	5	2–3	40%	0.05
office	—	1	0–1	0%	-0.10
italy	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,094Lifetime kills

1.12K/D · Top 25% of Blue band

1,319Matches

46.7%Match win rate · Top 25% of Blue band

31.7%Headshot %

0.2%Shot accuracy

3,403MVPs

518Hours (in match)

979Bombs planted

376Bombs defused

Most-used weapons

AWP9,792

M4A4 / M4A1-S3,066

AK-472,782

P2000 / USP-S1,267

Glock-181,183

SSG 08986

Galil AR467

PP-Bizon446

Nova420

MP7384

Lifetime map wins

3,927dust2

2,249nuke

1,221inferno

225vertigo

99train

45office

13italy

3ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.1%Headshot accuracy

32.9%Accuracy (enemy spotted)

28.2%Spray accuracy

78.6%Counter-strafing

7.0°Preaim

568msReaction time

38.1%T opening success

67.1%CT opening success

0.33Enemies flashed / flash

5.9%Flash assists

9.48HE damage / grenade

2.15Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3323 — below the 0.5 mark we flag
Grenade Lineups →
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 38.1245% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	1–13	-0.02	11%	28 Aug →
dust2	8–13	-0.03	21%	27 Aug →
inferno	13–10	-0.08	13%	27 Aug →
dust2	13–11	0.01	17%	26 Aug →
dust2	13–6	0.08	16%	26 Aug →
nuke	14–16	0.05	17%	26 Aug →
anubis	13–11	0.03	13%	26 Aug →
anubis	13–6	-0.00	11%	26 Aug →
dust2	9–13	0.02	27%	26 Aug →
nuke	5–13	-0.02	20%	26 Aug →
dust2	4–13	-0.02	18%	25 Aug →
nuke	13–8	0.20	14%	25 Aug →
nuke	7–13	-0.00	12%	24 Aug →
ancient	13–5	0.02	11%	24 Aug →
nuke	12–16	0.05	12%	24 Aug →
inferno	11–13	0.02	23%	24 Aug →
mirage	8–13	0.12	15%	23 Aug →
dust2	13–7	0.05	21%	23 Aug →
nuke	13–10	0.17	27%	23 Aug →
dust2	13–6	0.14	21%	23 Aug →
mirage	16–14	0.05	7%	22 Aug →
dust2	13–11	0.10	37%	22 Aug →
mirage	15–15	0.05	28%	22 Aug →
mirage	6–13	0.06	7%	22 Aug →
mirage	7–13	0.14	16%	21 Aug →
nuke	13–7	0.11	22%	21 Aug →
dust2	6–13	-0.00	6%	21 Aug →
mirage	10–13	0.14	13%	19 Aug →
inferno	6–13	-0.06	18%	19 Aug →
office	5–13	-0.10	50%	18 Aug →
inferno	7–13	0.03	22%	18 Aug →
ancient	13–11	-0.05	18%	18 Aug →
dust2	11–13	-0.06	18%	17 Aug →
cache	13–4	-0.01	18%	17 Aug →
nuke	3–13	-0.08	18%	16 Aug →
dust2	16–13	0.06	21%	16 Aug →
inferno	13–5	0.04	13%	16 Aug →
dust2	7–13	-0.01	26%	16 Aug →
mirage	13–4	0.05	9%	16 Aug →
dust2	16–14	0.05	22%	16 Aug →
dust2	7–13	0.06	17%	16 Aug →
cache	9–13	0.08	24%	16 Aug →
ancient	13–10	-0.06	18%	15 Aug →
ancient	11–13	-0.01	15%	15 Aug →
cache	7–13	0.02	21%	15 Aug →
anubis	13–9	0.05	12%	15 Aug →
nuke	5–13	-0.04	12%	15 Aug →
mirage	13–8	0.07	31%	14 Aug →
anubis	13–4	0.05	12%	14 Aug →
mirage	4–13	0.11	13%	14 Aug →
inferno	14–16	0.02	14%	13 Aug →
anubis	13–2	0.08	11%	13 Aug →
dust2	4–13	0.01	39%	13 Aug →
ancient	15–15	0.03	30%	13 Aug →
nuke	13–8	0.06	10%	13 Aug →
nuke	14–16	0.06	19%	13 Aug →
dust2	15–15	0.07	19%	12 Aug →
ancient	3–13	-0.01	14%	12 Aug →
dust2	6–13	0.00	17%	12 Aug →
mirage	6–13	-0.00	20%	12 Aug →
dust2	13–9	0.11	26%	11 Aug →
dust2	15–15	0.07	28%	11 Aug →
dust2	13–7	0.07	19%	11 Aug →
inferno	13–0	0.04	33%	11 Aug →
ancient	10–13	0.01	8%	10 Aug →
inferno	16–13	0.05	13%	10 Aug →
anubis	9–13	-0.04	13%	10 Aug →
dust2	13–7	0.03	20%	10 Aug →
dust2	16–13	-0.02	24%	9 Aug →
inferno	13–16	0.03	17%	9 Aug →
ancient	10–13	-0.04	8%	9 Aug →
dust2	13–8	-0.02	7%	9 Aug →
dust2	5–13	-0.07	14%	9 Aug →
ancient	15–15	0.07	12%	8 Aug →
mirage	13–10	0.06	16%	8 Aug →
mirage	13–4	0.03	11%	8 Aug →
italy	12–12	0.05	13%	8 Aug →
dust2	13–5	0.11	17%	8 Aug →
inferno	13–2	0.07	18%	7 Aug →
inferno	13–6	-0.01	13%	7 Aug →
nuke	3–13	-0.01	4%	6 Aug →
dust2	6–13	-0.02	15%	6 Aug →
ancient	13–1	0.02	0%	6 Aug →
nuke	13–1	0.06	13%	6 Aug →
anubis	6–13	0.08	13%	6 Aug →
anubis	16–13	0.02	16%	5 Aug →
anubis	3–13	-0.02	6%	5 Aug →
nuke	15–15	0.08	21%	5 Aug →
mirage	13–9	0.15	10%	5 Aug →
cache	13–8	0.14	27%	5 Aug →
nuke	9–13	0.04	24%	5 Aug →
anubis	7–13	0.01	16%	4 Aug →
dust2	13–5	0.14	13%	4 Aug →
nuke	9–13	0.02	18%	4 Aug →
cache	4–13	0.02	17%	4 Aug →
dust2	2–13	-0.01	7%	28 Jul →
inferno	10–13	0.06	16%	28 Jul →
dust2	4–13	0.02	29%	28 Jul →
dust2	13–16	0.14	13%	27 Jul →
mirage	13–5	0.04	32%	27 Jul →