acc. — CS2 Stats

76561199466912161[U:1:1506646433]✓ No bans

1,680Tracked matches41%Win rate2023Tracked since

1,307Hours in CS13Hrs last 2 wks

CSDB Rating5.1 DevelopingHybrid Rifler

Premier CS Rating27,322Top 10% of 819 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#697 of 16741 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64

Positioning46

Utility55

0–100 skill scores via Leetify.

Recent form

COLD64–34–2Last 10064%Win rateLLWWWLLLLL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

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

Aim6.4

Aggression6.9

Utility5.5

Positioning4.6

Opening Duels2.9

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 Twistzz 86% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 52% on CT to 31% 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

Aim6.4

Positioning4.6

Utility5.5

Mechanics4.6

Opening Duels2.9

Win Impact2.1

Composite 5.1/10 (Developing), 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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time507ms−52ms

first ⅓ avg 558ms → last ⅓ avg 507ms

Headshot accuracy17.8%−1.4%

first ⅓ avg 19.2% → last ⅓ avg 17.8%

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 — anubis 13–5

13–0Biggest win — inferno

8Longest win streak

L2Current streak

12–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 88% over 16vertigoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	17	10–7	59%	0.01
inferno	S	16	14–2	88%	0.00
anubis	B	16	8–8	50%	0.02
dust2	S	12	9–3	75%	0.01
cache	A	11	7–4	64%	0.01
mirage	C	9	4–5	44%	0.01
nuke	S	8	6–2	75%	-0.02
vertigo	C	5	2–3	40%	-0.01
train	—	3	2–1	67%	0.02
shelter	—	1	1–0	100%	0.05
boulder	—	1	1–0	100%	0.07
office	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,080Lifetime kills

1.18K/D · Top 25% of tracked players

1,676Matches

57.9%Match win rate · Top 5% of tracked players

45.5%Headshot %

4.2%Shot accuracy

4,294MVPs

606Hours (in match)

3,013Bombs planted

491Bombs defused

Most-used weapons

AK-479,360

M4A4 / M4A1-S5,558

MAC-101,796

AWP1,720

P2000 / USP-S1,468

Glock-181,274

MP91,146

Desert Eagle1,116

Galil AR1,018

FAMAS434

Lifetime map wins

1,960inferno

1,787dust2

1,571nuke

1,059vertigo

608train

214office

52italy

45cbble

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.

17.9%Headshot accuracy

29.2%Accuracy (enemy spotted)

35.5%Spray accuracy

70.6%Counter-strafing

8.6°Preaim

519msReaction time

31.0%T opening success

51.9%CT opening success

0.51Enemies flashed / flash

13.1%Flash assists

8.82HE damage / grenade

4.81Flashes / 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 31.0066% — below the 40% mark we flag

Spend your practice time on Vertigo

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–16	-0.06	16%	28 Aug →
inferno	11–13	0.05	19%	28 Aug →
nuke	13–3	-0.05	14%	27 Aug →
inferno	9–2	0.06	9%	26 Aug →
inferno	9–4	0.13	29%	25 Aug →
anubis	9–13	0.03	13%	24 Aug →
mirage	0–13	-0.07	0%	23 Aug →
anubis	1–7	-0.05	29%	23 Aug →
ancient	1–13	-0.05	25%	23 Aug →
anubis	11–13	0.05	25%	23 Aug →
ancient	13–1	0.03	4%	23 Aug →
cache	2–13	0.07	19%	22 Aug →
inferno	13–0	-0.01	50%	18 Aug →
mirage	2–9	-0.01	36%	18 Aug →
dust2	0–13	-0.01	26%	18 Aug →
dust2	13–5	-0.07	17%	16 Aug →
inferno	13–2	-0.04	23%	16 Aug →
ancient	10–13	-0.01	20%	16 Aug →
dust2	13–5	-0.05	0%	16 Aug →
cache	5–8	-0.11	0%	16 Aug →
ancient	13–7	-0.07	17%	16 Aug →
anubis	8–13	-0.00	7%	12 Aug →
anubis	0–13	0.00	0%	12 Aug →
train	13–6	-0.00	14%	12 Aug →
train	5–13	0.05	18%	12 Aug →
anubis	13–5	0.09	28%	8 Aug →
inferno	9–6	-0.02	17%	8 Aug →
inferno	13–10	-0.05	26%	7 Aug →
mirage	13–11	-0.00	19%	4 Aug →
nuke	6–13	-0.05	15%	4 Aug →
vertigo	12–12	-0.02	18%	4 Aug →
vertigo	1–13	-0.11	0%	4 Aug →
shelter	10–2	0.05	36%	4 Aug →
mirage	13–3	-0.01	18%	4 Aug →
dust2	13–11	-0.00	11%	4 Aug →
ancient	13–11	0.09	13%	4 Aug →
mirage	13–4	0.03	24%	3 Aug →
boulder	13–4	0.07	19%	3 Aug →
anubis	13–2	0.03	19%	3 Aug →
ancient	13–16	-0.05	26%	2 Aug →
dust2	13–10	0.08	19%	2 Aug →
dust2	13–5	0.01	20%	2 Aug →
mirage	4–13	-0.02	22%	2 Aug →
nuke	13–7	0.06	17%	2 Aug →
anubis	6–10	-0.07	12%	2 Aug →
inferno	13–11	0.03	6%	2 Aug →
nuke	1–13	-0.10	14%	2 Aug →
mirage	10–13	0.04	16%	31 Jul →
cache	13–3	0.09	19%	31 Jul →
ancient	8–13	-0.08	6%	31 Jul →
anubis	13–0	0.10	19%	30 Jul →
inferno	13–5	0.08	24%	29 Jul →
anubis	13–5	0.17	13%	29 Jul →
cache	13–6	-0.03	16%	29 Jul →
vertigo	13–11	0.00	17%	29 Jul →
ancient	13–11	0.08	15%	29 Jul →
anubis	13–10	0.08	11%	29 Jul →
inferno	13–3	0.01	21%	29 Jul →
anubis	3–13	-0.01	19%	29 Jul →
ancient	3–13	-0.03	19%	29 Jul →
dust2	12–16	0.01	24%	29 Jul →
ancient	13–1	0.10	14%	22 Jul →
ancient	7–13	-0.02	9%	22 Jul →
ancient	0–5	-0.04	0%	22 Jul →
ancient	13–11	0.03	19%	22 Jul →
anubis	13–11	0.01	21%	16 Jul →
mirage	13–11	0.03	18%	16 Jul →
dust2	13–8	-0.04	21%	15 Jul →
anubis	12–5	-0.05	11%	9 Jul →
ancient	13–3	0.08	12%	9 Jul →
dust2	13–4	0.11	23%	9 Jul →
office	8–13	0.01	30%	8 Jul →
inferno	9–6	-0.04	22%	5 Jul →
inferno	2–9	-0.16	20%	5 Jul →
cache	13–8	0.05	10%	2 Jul →
cache	13–5	0.06	16%	1 Jul →
nuke	13–11	0.00	18%	28 Jun →
cache	13–8	0.10	32%	24 Jun →
cache	1–13	0.00	38%	24 Jun →
ancient	13–9	-0.01	20%	24 Jun →
ancient	13–5	0.06	10%	24 Jun →
train	13–1	0.00	25%	21 Jun →
inferno	13–10	-0.06	26%	21 Jun →
cache	13–4	-0.03	12%	21 Jun →
cache	11–13	-0.06	10%	17 Jun →
vertigo	12–12	0.05	12%	16 Jun →
cache	13–9	-0.05	21%	16 Jun →
mirage	10–13	0.04	25%	16 Jun →
dust2	13–5	0.10	11%	16 Jun →
nuke	13–1	0.03	26%	15 Jun →
inferno	13–10	0.00	15%	15 Jun →
inferno	13–8	0.05	19%	12 Jun →
anubis	13–16	0.01	20%	12 Jun →
inferno	13–8	0.03	26%	11 Jun →
nuke	13–5	-0.03	10%	10 Jun →
vertigo	13–11	0.03	20%	10 Jun →
nuke	13–7	0.01	12%	5 Jun →
ancient	13–4	0.04	22%	4 Jun →
anubis	13–5	0.00	28%	4 Jun →
dust2	13–11	0.00	13%	3 Jun →