I'm pulling it out — CS2 Stats

US76561198057267902[U:1:97002174]Steam profile ↗✓ No bans

349Tracked matches66%Win rate2020Tracked since

722Hours in CS

CSDB Rating4.9 Developing

Ladder ranks via Leetify

Performance scores

Aim50

Positioning45

Utility43

0–100 skill scores via Leetify.

Recent form

HOT46–44–10Last 10046%Win rateWWWWWLWLWW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Aim5.0

Aggression5.0

Utility4.3

Positioning4.5

Opening Duels0.9

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 NiKo 82% playstyle similarity

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

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

Reaction time. 657ms 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

Aim5.0

Positioning4.5

Utility4.3

Mechanics5.2

Opening Duels0.9

Win Impact10.0

Composite 4.9/10 (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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time655ms−6ms

first ⅓ avg 661ms → last ⅓ avg 655ms

Headshot accuracy15.9%−1.1%

first ⅓ avg 17.0% → last ⅓ avg 15.9%

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.

Highlights

0.11Best rating — nuke 10–4

13–2Biggest win — inferno

7Longest win streak

W5Current streak

4–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 71% over 7mirageWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	13–13	50%	0.01
inferno	B	25	12–13	48%	0.01
mirage	D	13	4–9	31%	-0.02
cache	A	9	5–4	56%	-0.01
nuke	B	8	4–4	50%	0.01
ancient	S	7	5–2	71%	-0.03
anubis	—	4	1–3	25%	-0.02
vertigo	—	4	1–3	25%	0.00
train	—	2	0–2	0%	-0.03
overpass	—	1	1–0	100%	0.00
office	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,498Lifetime kills

0.81K/D

1,601Matches

38.3%Match win rate

34.4%Headshot %

12.1%Shot accuracy

2,591MVPs

722Hours (in match)

1,627Bombs planted

390Bombs defused

Most-used weapons

AK-475,565

M4A4 / M4A1-S4,366

P2000 / USP-S1,639

AWP1,586

P901,180

Glock-18982

Desert Eagle919

P250902

Negev773

Tec-9737

Lifetime map wins

3,236inferno

2,889dust2

1,373nuke

368vertigo

326cbble

262train

106office

51italy

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.

15.4%Headshot accuracy

32.7%Accuracy (enemy spotted)

40.3%Spray accuracy

73.4%Counter-strafing

11.3°Preaim

657msReaction time

29.6%T opening success

37.5%CT opening success

0.45Enemies flashed / flash

6.4%Flash assists

9.09HE damage / grenade

5.99Flashes / 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 0.449 — 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 29.5736% — below the 40% mark we flag

Spend your practice time on Mirage

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	-0.03	26%	8 Aug →
mirage	13–11	0.07	24%	8 Aug →
cache	16–14	0.08	11%	8 Aug →
cache	13–9	0.01	5%	26 Jul →
ancient	13–6	0.03	11%	17 Jul →
ancient	11–13	-0.04	12%	15 Jul →
inferno	13–7	0.02	20%	14 Jul →
cache	4–13	-0.06	23%	12 Jul →
anubis	13–3	0.04	22%	25 Jun →
ancient	13–11	-0.03	9%	25 Jun →
dust2	8–13	-0.04	0%	22 Jun →
overpass	16–12	0.00	14%	20 Jun →
cache	12–12	-0.01	17%	20 Jun →
mirage	13–7	-0.03	7%	19 Jun →
inferno	13–5	0.04	20%	18 Jun →
cache	13–10	-0.01	14%	18 Jun →
nuke	8–4	0.01	25%	13 Jun →
dust2	13–10	-0.00	16%	13 Jun →
inferno	13–2	-0.03	16%	13 Jun →
mirage	13–4	-0.10	18%	13 Jun →
anubis	4–13	-0.02	11%	13 Jun →
cache	7–13	-0.03	19%	10 May →
cache	11–1	0.03	25%	10 May →
cache	13–10	-0.07	13%	10 May →
cache	5–13	-0.00	24%	1 May →
inferno	10–13	-0.06	18%	12 Apr →
inferno	6–13	-0.02	9%	11 Apr →
dust2	13–6	0.01	15%	11 Apr →
mirage	14–16	-0.04	14%	8 Apr →
dust2	2–13	0.05	24%	8 Apr →
inferno	9–13	0.02	17%	8 Feb →
mirage	4–13	0.00	8%	8 Feb →
inferno	13–7	-0.04	21%	8 Feb →
inferno	11–13	0.05	15%	3 Jan →
mirage	11–13	-0.04	13%	30 Nov →
dust2	11–13	0.04	11%	30 Nov →
dust2	15–15	0.02	22%	16 Nov →
office	12–12	-0.00	11%	25 Oct →
mirage	7–13	0.03	18%	25 Oct →
inferno	13–10	0.08	16%	3 Oct →
ancient	13–9	-0.01	6%	3 Oct →
nuke	6–13	-0.07	11%	29 Sept →
dust2	12–12	-0.02	17%	28 Sept →
inferno	13–5	-0.02	8%	25 Sept →
inferno	6–13	-0.02	13%	20 Sept →
ancient	1–13	-0.10	9%	20 Sept →
mirage	12–12	-0.06	9%	15 Sept →
mirage	3–13	-0.05	6%	12 Sept →
inferno	7–13	-0.04	10%	8 Sept →
inferno	13–7	-0.01	10%	6 Sept →
dust2	13–6	-0.01	15%	6 Sept →
vertigo	10–13	-0.05	2%	24 Aug →
dust2	7–13	-0.06	10%	24 Aug →
dust2	9–13	0.04	17%	28 Jul →
nuke	7–13	0.00	14%	28 Jul →
inferno	11–13	0.06	20%	11 Jul →
dust2	13–8	0.01	17%	11 Jul →
train	6–13	-0.05	14%	11 Jul →
nuke	7–13	-0.02	11%	6 Jul →
vertigo	13–4	0.04	16%	6 Jul →
dust2	13–6	-0.03	8%	6 Jul →
mirage	13–5	-0.03	9%	6 Jul →
inferno	9–13	0.07	19%	4 Jul →
inferno	13–7	-0.04	9%	4 Jul →
nuke	4–13	0.06	12%	4 Jul →
dust2	13–6	0.02	20%	4 Jul →
dust2	13–10	-0.00	18%	17 Jun →
ancient	13–6	-0.01	8%	6 Jun →
inferno	10–13	0.00	7%	5 Jun →
dust2	13–7	0.01	10%	31 May →
mirage	3–13	-0.06	11%	31 May →
anubis	9–13	-0.05	18%	31 May →
dust2	13–4	0.02	14%	23 May →
inferno	11–13	0.07	23%	22 May →
dust2	12–12	0.01	20%	18 May →
mirage	12–12	-0.03	19%	10 May →
inferno	13–10	0.10	14%	8 May →
dust2	4–13	-0.02	24%	8 May →
vertigo	12–12	0.02	16%	2 May →
dust2	6–13	-0.01	18%	2 May →
inferno	12–12	-0.01	27%	26 Apr →
dust2	9–13	0.06	13%	18 Apr →
nuke	13–10	0.01	15%	12 Apr →
anubis	9–13	-0.03	17%	12 Apr →
vertigo	11–13	-0.01	8%	8 Apr →
inferno	10–13	0.02	9%	8 Apr →
dust2	13–10	0.04	14%	8 Apr →
inferno	13–9	0.05	18%	5 Apr →
nuke	13–11	-0.03	13%	4 Apr →
inferno	13–6	0.08	14%	4 Apr →
dust2	13–5	0.01	15%	22 Mar →
mirage	12–12	0.02	18%	21 Mar →
train	9–13	-0.01	22%	10 Mar →
dust2	9–13	0.05	29%	10 Mar →
inferno	13–10	-0.05	26%	3 Mar →
dust2	6–13	0.03	26%	19 Feb →
nuke	10–4	0.11	24%	19 Feb →
inferno	10–13	0.03	20%	8 Feb →
dust2	13–4	0.01	18%	8 Feb →
ancient	13–8	-0.01	16%	31 Jan →