I like turtles — CS2 Stats

76561199469398748[U:1:1509133020]Steam profile ↗✓ No bans

1,256Tracked matches43%Win rate2023Tracked since

2,274Hours in CS7Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim81

Positioning50

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY37–55–8Last 10037%Win rateLWWLLLWWWW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

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

Aim8.1

Aggression7.4

Utility5.7

Positioning5.0

Opening Duels3.2

Clutch3.6

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 b1t 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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. 572ms 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

Aim8.1

Positioning5.0

Utility5.7

Mechanics7.6

Opening Duels3.2

Win Impact2.8

Composite 5.7/10 (Solid), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time579ms−1ms

first ⅓ avg 580ms → last ⅓ avg 579ms

Headshot accuracy24.1%−3.1%

first ⅓ avg 27.2% → last ⅓ avg 24.1%

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

0.19Best rating — vertigo 9–1

13–1Biggest win — anubis

4Longest win streak

6–12In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 47% over 15nukeWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	20	7–13	35%	0.01
anubis	C	17	6–11	35%	0.02
ancient	B	15	7–8	47%	-0.00
inferno	C	14	6–8	43%	0.01
dust2	D	12	4–8	33%	-0.01
nuke	D	10	2–8	20%	0.01
cache	C	5	2–3	40%	0.01
overpass	—	4	1–3	25%	0.01
vertigo	—	3	2–1	67%	0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,809Lifetime kills

1.54K/D · Top 5% of tracked players

2,716Matches

48.8%Match win rate · Top 25% of tracked players

49.5%Headshot % · Top 50% of tracked players

5.7%Shot accuracy

13,819MVPs

1,417Hours (in match)

838Bombs planted

4,120Bombs defused

Most-used weapons

AK-4732,397

Molotov14,472

Negev11,634

Desert Eagle10,789

M4A4 / M4A1-S10,729

Glock-189,986

AWP6,366

P2000 / USP-S6,080

Tec-92,563

SSG 081,722

Lifetime map wins

5,961inferno

4,763dust2

3,934nuke

2,964vertigo

564train

84office

77cbble

28lake

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

Faceit stats

Combat

371Matches

51%Win rate

1.13Avg K/D

86.5ADR

52%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	72	49%	1.07	16.1
Ancient	59	51%	1.11	16.9
Inferno	59	49%	1.04	16.6
Nuke	50	70%	1.29	17.9
Anubis	37	51%	1.10	17.0
Dust2	28	32%	1.08	16.9
Overpass	17	53%	1.09	19.4
Train	10	60%	1.30	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.

22.6%Headshot accuracy

33.2%Accuracy (enemy spotted)

36.8%Spray accuracy

84.4%Counter-strafing

8.2°Preaim

572msReaction time

33.4%T opening success

52.3%CT opening success

0.56Enemies flashed / flash

7.2%Flash assists

7.54HE damage / grenade

14.43Flashes / 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 33.3568% — 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.

20% win rate across 10 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
mirage	22–25	-0.06	16%	17 Aug →
vertigo	13–8	0.05	16%	10 Aug →
anubis	13–6	-0.01	19%	10 Aug →
cache	6–13	-0.06	31%	31 Jul →
inferno	5–13	-0.04	24%	25 Jul →
ancient	10–13	-0.01	14%	19 Jul →
inferno	13–11	0.04	28%	19 Jul →
mirage	13–6	0.02	21%	18 Jul →
anubis	13–10	-0.03	25%	17 Jul →
anubis	13–10	0.00	19%	17 Jul →
anubis	14–16	0.03	18%	12 Jul →
mirage	3–13	-0.02	21%	12 Jul →
dust2	9–13	-0.01	47%	10 Jul →
anubis	13–1	0.14	28%	10 Jul →
inferno	11–13	-0.03	25%	9 Jul →
cache	9–13	-0.04	20%	9 Jul →
dust2	13–7	-0.04	23%	9 Jul →
ancient	8–13	-0.01	33%	2 Jul →
inferno	10–13	-0.00	22%	2 Jul →
anubis	13–9	0.03	21%	30 Jun →
inferno	13–4	0.04	17%	30 Jun →
anubis	10–13	0.04	23%	29 Jun →
ancient	13–1	0.00	0%	29 Jun →
inferno	11–13	0.07	29%	25 Jun →
nuke	4–13	0.01	44%	16 Jun →
mirage	9–9	0.03	22%	9 Jun →
anubis	5–13	0.03	19%	22 May →
dust2	13–7	0.02	15%	21 May →
dust2	4–13	0.01	23%	21 May →
mirage	10–13	0.02	24%	21 May →
ancient	13–2	-0.02	32%	18 May →
mirage	12–12	0.11	36%	8 May →
anubis	5–13	0.06	43%	8 May →
dust2	5–13	0.02	23%	6 May →
nuke	13–8	-0.06	26%	6 May →
mirage	13–9	0.10	48%	6 May →
dust2	13–16	-0.02	30%	5 May →
mirage	7–13	-0.03	33%	4 May →
dust2	13–11	-0.00	34%	4 May →
inferno	14–16	-0.02	37%	2 May →
cache	13–9	0.07	22%	30 Apr →
cache	11–13	0.02	29%	29 Apr →
nuke	8–8	0.04	44%	27 Apr →
inferno	9–5	0.14	52%	27 Apr →
ancient	5–13	0.04	31%	26 Apr →
mirage	9–13	-0.05	23%	24 Apr →
anubis	14–16	-0.01	24%	23 Apr →
nuke	13–11	0.12	35%	23 Apr →
cache	13–9	0.07	34%	23 Apr →
inferno	13–10	0.00	23%	23 Apr →
ancient	13–9	0.10	21%	23 Apr →
anubis	14–16	-0.04	13%	22 Apr →
anubis	2–13	-0.09	31%	21 Apr →
ancient	5–13	0.05	25%	21 Apr →
nuke	8–13	0.03	43%	21 Apr →
mirage	16–14	0.02	31%	21 Apr →
inferno	7–13	0.01	34%	20 Apr →
dust2	3–13	-0.07	40%	20 Apr →
anubis	9–13	-0.05	41%	16 Apr →
mirage	13–8	-0.01	27%	14 Apr →
overpass	13–6	0.01	20%	14 Apr →
anubis	11–13	-0.00	35%	11 Apr →
vertigo	12–12	-0.00	38%	9 Apr →
nuke	12–12	-0.01	22%	7 Apr →
mirage	10–13	0.04	22%	6 Apr →
vertigo	9–1	0.19	44%	6 Apr →
dust2	13–8	0.03	23%	6 Apr →
nuke	7–13	-0.07	67%	5 Apr →
ancient	12–16	-0.01	44%	5 Apr →
inferno	11–13	-0.09	21%	4 Apr →
ancient	15–15	-0.02	43%	4 Apr →
anubis	13–8	0.11	18%	3 Apr →
ancient	7–13	-0.14	20%	2 Apr →
inferno	13–9	-0.01	24%	2 Apr →
anubis	9–13	0.17	26%	1 Apr →
dust2	11–13	0.03	24%	1 Apr →
overpass	12–12	0.03	33%	31 Mar →
nuke	4–13	0.05	23%	26 Mar →
ancient	13–6	0.08	22%	24 Mar →
mirage	13–3	0.19	22%	24 Mar →
nuke	12–12	0.01	23%	23 Mar →
mirage	13–10	-0.01	17%	20 Mar →
ancient	13–9	0.01	18%	20 Mar →
ancient	16–14	0.02	12%	20 Mar →
mirage	5–13	-0.08	17%	20 Mar →
mirage	7–13	-0.05	33%	19 Mar →
inferno	9–13	0.02	22%	18 Mar →
dust2	5–13	0.02	22%	18 Mar →
dust2	5–13	-0.09	58%	18 Mar →
mirage	9–13	-0.04	24%	18 Mar →
mirage	3–13	-0.12	20%	18 Mar →
ancient	13–10	-0.04	35%	17 Mar →
inferno	13–10	0.03	19%	17 Mar →
anubis	8–13	-0.00	27%	16 Mar →
nuke	11–13	-0.02	26%	16 Mar →
ancient	6–13	-0.07	36%	16 Mar →
mirage	2–4	0.13	30%	15 Mar →
overpass	9–13	-0.01	24%	15 Mar →
overpass	15–15	0.02	26%	15 Mar →
mirage	13–16	-0.05	23%	15 Mar →