Turtlez — CS2 Stats

76561198044028230[U:1:83762502]Steam profile ↗

982Tracked matches41%Win rate2021Tracked since

1,204Hours in CS12Hrs last 2 wks

CSDB Rating4.8 DevelopingHybrid Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim65

Positioning54

Utility33

0–100 skill scores via Leetify.

Recent form

COLD40–54–6Last 10040%Win rateLWTLLLLLTW

Last 10 vs previous 10: -30pp win rate · +0.03 avg rating

Player DNA

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

Aim6.5

Aggression6.8

Utility3.3

Positioning5.4

Opening Duels3.1

Clutch0.0

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 ropz 85% playstyle similarity

Most alike: opening-fight frequency, 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

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 52% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim6.5

Positioning5.4

Utility3.3

Mechanics4.7

Opening Duels3.1

Win Impact2.1

Composite 4.8/10 (Developing), 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 rating0.01+0.04

first ⅓ avg -0.03 → last ⅓ avg 0.01

Reaction time620ms−62ms

first ⅓ avg 682ms → last ⅓ avg 620ms

Headshot accuracy15.6%−1.7%

first ⅓ avg 17.3% → last ⅓ avg 15.6%

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

0.17Best rating — nuke 13–2

13–0Biggest win — train

4Longest win streak

5–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 53% over 15anubisWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	21	9–12	43%	-0.00
cache	B	15	8–7	53%	-0.02
dust2	D	10	3–7	30%	-0.00
ancient	D	9	2–7	22%	-0.01
mirage	D	7	1–6	14%	-0.01
inferno	B	6	3–3	50%	0.06
office	B	6	3–3	50%	-0.01
anubis	D	5	0–5	0%	-0.02
debris	—	4	2–2	50%	-0.00
vertigo	—	4	3–1	75%	0.05
train	—	4	1–3	25%	-0.01
italy	—	3	2–1	67%	0.00
overpass	—	2	1–1	50%	0.04
eldorado	—	1	1–0	100%	0.01
fachwerk	—	1	1–0	100%	0.01
shelter	—	1	0–1	0%	0.01
poseidon	—	1	0–1	0%	-0.15

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,064Lifetime kills

1.08K/D · Top 50% of tracked players

3,184Matches

28.1%Match win rate

38.0%Headshot %

3.5%Shot accuracy

3,654MVPs

641Hours (in match)

1,311Bombs planted

361Bombs defused

Most-used weapons

AK-479,867

M4A4 / M4A1-S6,583

AWP5,884

Galil AR2,286

Desert Eagle2,257

P2000 / USP-S2,009

MP71,492

Glock-181,453

SG 5531,293

FAMAS1,183

Lifetime map wins

2,265nuke

1,956vertigo

1,791inferno

1,651dust2

704office

370train

220ar_shoots

135cbble

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

Faceit stats

Combat

4Matches

50%Win rate

0.80Avg K/D

69.9ADR

46%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1	100%	0.53	9.0
Nuke	1	100%	1.40	21.0
Dust2	1	0%	0.50	8.0
Mirage	1	0%	0.78	14.0

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.

13.1%Headshot accuracy

39.3%Accuracy (enemy spotted)

39.5%Spray accuracy

71.3%Counter-strafing

9.5°Preaim

611msReaction time

32.6%T opening success

52.4%CT opening success

0.49Enemies flashed / flash

10.3%Flash assists

5.94HE damage / grenade

2.09Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.0884% — below the 15% mark we flag
Aim Training →
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 0.4858 — 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 32.6093% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–16	0.06	11%	29 Aug →
nuke	13–10	-0.01	16%	29 Aug →
ancient	15–15	0.00	10%	28 Aug →
ancient	9–13	-0.02	16%	28 Aug →
mirage	6–13	-0.07	11%	24 Aug →
cache	9–13	0.05	10%	24 Aug →
dust2	9–13	0.01	15%	24 Aug →
debris	1–9	-0.12	67%	24 Aug →
debris	8–8	0.10	13%	21 Aug →
nuke	13–9	0.09	9%	20 Aug →
dust2	8–13	-0.03	9%	20 Aug →
inferno	13–5	0.01	10%	13 Aug →
dust2	13–16	-0.01	13%	10 Aug →
dust2	13–9	0.02	17%	10 Aug →
nuke	13–10	-0.06	5%	10 Aug →
cache	13–7	0.00	10%	10 Aug →
nuke	10–13	-0.06	10%	2 Aug →
mirage	5–13	0.03	10%	1 Aug →
cache	12–4	-0.01	15%	1 Aug →
ancient	11–13	-0.04	10%	1 Aug →
nuke	13–5	0.07	11%	28 Jul →
cache	6–13	-0.08	19%	28 Jul →
debris	9–4	0.03	17%	28 Jul →
debris	9–7	-0.02	30%	12 Jul →
eldorado	9–5	0.01	16%	12 Jul →
dust2	9–13	0.04	27%	10 Jul →
inferno	10–13	0.09	15%	10 Jul →
cache	13–1	0.04	16%	10 Jul →
fachwerk	13–8	0.01	18%	10 Jul →
nuke	13–7	0.05	20%	9 Jul →
cache	6–13	-0.00	9%	9 Jul →
shelter	10–13	0.01	21%	9 Jul →
vertigo	13–6	0.13	13%	27 Jun →
nuke	9–13	0.00	8%	27 Jun →
inferno	9–13	0.02	14%	27 Jun →
nuke	8–13	-0.03	9%	25 Jun →
mirage	3–13	-0.06	11%	25 Jun →
nuke	13–6	-0.00	14%	22 Jun →
anubis	10–13	-0.08	14%	22 Jun →
nuke	13–2	0.17	17%	22 Jun →
train	13–0	0.10	27%	17 Jun →
cache	13–8	-0.01	10%	16 Jun →
office	12–12	0.04	23%	16 Jun →
anubis	3–13	-0.05	15%	16 Jun →
poseidon	6–9	-0.15	27%	16 Jun →
overpass	10–13	0.01	26%	15 Jun →
anubis	5–13	-0.04	21%	15 Jun →
dust2	13–6	0.01	12%	15 Jun →
cache	9–13	-0.07	15%	14 Jun →
overpass	13–10	0.08	24%	14 Jun →
anubis	9–13	0.03	24%	14 Jun →
italy	13–8	0.07	20%	14 Jun →
ancient	13–7	0.05	16%	14 Jun →
dust2	13–9	-0.02	37%	13 Jun →
inferno	13–7	0.10	25%	13 Jun →
italy	5–13	-0.06	8%	12 Jun →
vertigo	8–8	-0.08	30%	12 Jun →
nuke	13–8	0.01	11%	12 Jun →
inferno	9–2	0.16	14%	12 Jun →
italy	13–4	-0.00	14%	11 Jun →
office	13–5	0.04	7%	11 Jun →
nuke	5–13	0.03	12%	11 Jun →
vertigo	9–7	0.03	6%	11 Jun →
vertigo	13–9	0.11	17%	7 Jun →
dust2	11–13	0.02	15%	7 Jun →
nuke	12–12	0.03	20%	7 Jun →
mirage	5–13	0.01	20%	7 Jun →
nuke	13–11	-0.07	23%	31 May →
cache	13–7	-0.08	54%	31 May →
cache	13–4	-0.01	8%	31 May →
office	13–10	-0.04	3%	31 May →
nuke	3–9	-0.22	13%	31 May →
train	4–13	-0.03	27%	31 May →
nuke	9–13	-0.03	14%	31 May →
mirage	16–14	0.04	17%	31 May →
ancient	10–13	-0.03	24%	30 May →
dust2	5–13	-0.07	9%	30 May →
cache	13–11	0.08	15%	30 May →
anubis	11–13	0.05	15%	30 May →
office	8–13	-0.02	33%	26 May →
nuke	15–15	0.02	10%	26 May →
nuke	10–13	0.01	20%	26 May →
train	9–13	-0.12	11%	24 May →
nuke	2–13	-0.01	5%	24 May →
office	9–13	-0.04	17%	24 May →
cache	2–13	-0.02	22%	24 May →
mirage	5–13	-0.01	12%	24 May →
ancient	8–13	-0.07	30%	24 May →
inferno	13–16	-0.02	15%	23 May →
dust2	6–13	-0.00	7%	23 May →
nuke	10–13	0.04	26%	23 May →
cache	6–13	-0.09	10%	23 May →
mirage	9–13	-0.00	27%	20 May →
ancient	8–13	0.00	11%	20 May →
nuke	6–13	-0.06	13%	20 May →
train	8–13	0.01	11%	20 May →
cache	13–8	-0.07	11%	15 May →
ancient	13–8	-0.02	14%	15 May →
office	8–5	-0.01	38%	15 May →
cache	9–13	0.01	11%	15 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

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