jimothy. — CS2 Stats

US76561198094196305[U:1:133930577]Steam profile ↗✓ No bans

967Tracked matches69%Win rate2020Tracked since

1,408Hours in CS

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating19,915Purple band · top ~8.8% of ranked players (population est.)

CSDB Leaderboard#7623 of 16754 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning58

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY43–50–7Last 10043%Win rateWWLLWWWLWW

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

Player DNA

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

Aim8.2

Aggression7.1

Utility5.0

Positioning5.8

Opening Duels2.8

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 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower opening-duel success.

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.

Reaction time. 582ms 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

Aim8.2

Positioning5.8

Utility5.0

Mechanics7.7

Opening Duels2.8

Win Impact10.0

Composite 6.8/10 (Solid), 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 rating0.04+0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time590ms−30ms

first ⅓ avg 620ms → last ⅓ avg 590ms

Headshot accuracy25.3%−0.3%

first ⅓ avg 25.6% → last ⅓ avg 25.3%

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

0.22Best rating — mirage 13–8

13–0Biggest win — cache

6Longest win streak

W2Current streak

4–9In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 70% over 10ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	25	10–15	40%	0.05
dust2	C	20	8–12	40%	0.03
mirage	B	12	6–6	50%	0.05
inferno	B	11	5–6	45%	0.05
nuke	S	10	7–3	70%	0.06
anubis	D	7	2–5	29%	0.04
ancient	D	5	1–4	20%	0.01
vertigo	—	4	2–2	50%	0.03
train	—	3	1–2	33%	0.02
overpass	—	3	1–2	33%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,180Lifetime kills

1.09K/D · Top 50% of tracked players

2,979Matches

45.9%Match win rate

47.4%Headshot % · Top 50% of tracked players

15.5%Shot accuracy · Top 25% of tracked players

8,377MVPs

1,408Hours (in match)

3,622Bombs planted

990Bombs defused

Most-used weapons

AK-4724,069

M4A4 / M4A1-S9,168

AWP7,221

P2000 / USP-S6,537

Desert Eagle4,869

Glock-183,721

UMP-452,830

P902,729

SSG 081,578

Five-SeveN1,338

Lifetime map wins

11,327dust2

3,256inferno

1,808nuke

879train

388vertigo

303lake

236bank

165safehouse

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.

25.3%Headshot accuracy

35.0%Accuracy (enemy spotted)

34.4%Spray accuracy

84.7%Counter-strafing

8.9°Preaim

582msReaction time

38.1%T opening success

44.2%CT opening success

0.63Enemies flashed / flash

5.3%Flash assists

11.73HE damage / grenade

5.75Flashes / 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 38.0707% — below the 40% mark we flag

Spend your practice time on Ancient

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 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	16–13	-0.06	20%	22 Aug →
dust2	13–7	-0.01	24%	22 Aug →
dust2	3–13	-0.02	20%	13 Aug →
dust2	9–13	0.04	18%	11 Aug →
dust2	13–11	-0.03	22%	8 Aug →
inferno	13–1	0.11	38%	8 Aug →
dust2	13–10	0.04	25%	8 Aug →
anubis	8–13	0.03	19%	7 Aug →
nuke	13–7	0.14	29%	7 Aug →
mirage	13–9	0.00	14%	7 Aug →
inferno	13–6	0.14	30%	7 Aug →
dust2	13–7	0.05	22%	7 Aug →
anubis	0–13	-0.03	17%	2 Aug →
cache	13–4	0.18	29%	2 Aug →
inferno	0–13	-0.03	39%	2 Aug →
dust2	13–8	0.10	27%	2 Aug →
inferno	13–10	0.03	24%	2 Aug →
mirage	13–3	0.01	30%	2 Aug →
nuke	13–10	0.04	18%	2 Aug →
mirage	13–6	0.07	33%	30 Jul →
train	13–2	0.06	31%	30 Jul →
mirage	12–12	0.17	28%	29 Jul →
cache	13–2	0.01	30%	29 Jul →
nuke	13–6	0.07	13%	29 Jul →
vertigo	7–13	-0.01	34%	29 Jul →
dust2	13–10	0.09	40%	29 Jul →
inferno	3–13	-0.03	26%	26 Jul →
dust2	7–13	0.04	24%	26 Jul →
overpass	13–4	0.00	23%	26 Jul →
cache	7–13	0.09	29%	26 Jul →
dust2	11–13	0.02	28%	25 Jul →
anubis	13–6	0.08	19%	25 Jul →
cache	12–12	-0.02	16%	25 Jul →
inferno	6–13	0.05	25%	25 Jul →
mirage	9–13	0.05	24%	25 Jul →
anubis	13–10	0.07	22%	23 Jul →
nuke	13–8	0.07	21%	23 Jul →
mirage	11–13	-0.02	28%	22 Jul →
train	1–10	0.01	40%	20 Jul →
mirage	13–9	0.12	23%	20 Jul →
anubis	7–13	0.01	33%	20 Jul →
nuke	10–13	0.02	31%	19 Jul →
anubis	6–13	0.05	29%	19 Jul →
dust2	13–6	0.16	22%	18 Jul →
cache	9–13	0.05	21%	16 Jul →
nuke	13–1	-0.01	17%	16 Jul →
cache	12–12	0.00	13%	15 Jul →
inferno	13–11	0.01	23%	12 Jul →
cache	10–13	0.02	23%	12 Jul →
cache	2–13	0.01	21%	11 Jul →
dust2	11–13	0.02	35%	11 Jul →
cache	13–8	0.10	15%	11 Jul →
vertigo	11–13	0.04	21%	11 Jul →
train	11–13	-0.02	36%	1 Jul →
cache	13–0	0.11	26%	1 Jul →
ancient	7–13	-0.09	23%	28 Jun →
dust2	4–13	0.04	38%	28 Jun →
vertigo	13–8	0.02	30%	26 Jun →
inferno	11–13	0.00	20%	26 Jun →
inferno	7–13	0.07	20%	18 Jun →
dust2	11–13	-0.03	27%	15 Jun →
ancient	7–13	0.00	35%	13 Jun →
mirage	13–8	0.06	32%	12 Jun →
cache	13–9	0.19	27%	12 Jun →
ancient	6–13	0.01	24%	11 Jun →
cache	10–13	-0.01	50%	6 Jun →
vertigo	13–4	0.09	14%	5 Jun →
dust2	5–13	-0.03	7%	5 Jun →
anubis	12–12	0.05	18%	2 Jun →
cache	13–9	0.03	21%	1 Jun →
mirage	1–13	-0.08	29%	1 Jun →
dust2	5–13	-0.00	13%	1 Jun →
mirage	10–13	0.01	22%	1 Jun →
cache	8–13	-0.01	18%	31 May →
inferno	13–8	0.03	22%	31 May →
cache	8–13	0.16	24%	30 May →
dust2	1–13	-0.02	19%	30 May →
mirage	13–8	0.22	40%	30 May →
dust2	7–13	-0.06	14%	25 May →
nuke	12–12	0.01	21%	25 May →
ancient	7–13	-0.00	23%	20 May →
nuke	13–9	0.16	26%	20 May →
ancient	13–11	0.11	21%	19 May →
dust2	11–13	-0.02	38%	16 May →
inferno	8–13	0.11	30%	16 May →
cache	12–12	-0.04	26%	12 May →
cache	7–13	0.10	20%	9 May →
dust2	13–7	0.17	21%	7 May →
overpass	12–12	0.12	24%	7 May →
mirage	14–16	0.02	23%	5 May →
nuke	10–13	0.07	27%	3 May →
cache	6–13	0.07	59%	3 May →
overpass	0–13	-0.05	25%	2 May →
nuke	13–8	0.04	33%	2 May →
cache	4–13	-0.01	24%	2 May →
cache	8–13	0.04	27%	2 May →
cache	13–6	0.00	30%	2 May →
cache	13–11	0.10	27%	1 May →
cache	6–13	-0.06	47%	29 Apr →
cache	13–8	0.09	27%	29 Apr →