Jimmy☁

Jimmy☁ — CS2 Stats

TG76561199500699307[U:1:1540433579]Steam profile ↗✓ No bans

315Tracked matches33%Win rate2023Tracked since
272Hours in CS
CSDB Rating4.9 DevelopingPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim81
Positioning36
Utility45

0–100 skill scores via Leetify.

Recent form

COLD46486Last 10046%Win rateLLLLWLLWTL

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.1
Aggression4.2
Utility4.5
Positioning3.6
Opening Duels0.9

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

NiKo

Plays most like NiKo 86% playstyle similarity

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

Where you differ: lower utility contribution; lower positioning 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 45 points — deaths here waste a strong aim profile.

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 41% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1
Positioning3.6
Utility4.5
Mechanics5.9
Opening Duels1.4
Win Impact0.0

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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time588ms−43ms
first ⅓ avg 631ms → last ⅓ avg 588ms
Headshot accuracy26.6%+7.0%
first ⅓ avg 19.7% → last ⅓ avg 26.6%

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

0.13Best rating — vertigo 12–12
130Biggest win — train
5Longest win streak
L4Current streak
55In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 80% over 5vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D2061430%-0.02
mirageB20101050%-0.03
anubisC135838%-0.02
infernoC104640%-0.04
ancientA74357%-0.01
trainS64267%-0.01
vertigoD51420%0.06
nukeS54180%0.02
officeA53260%0.01
overpassC52340%-0.01
cache43175%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

16,697Lifetime kills
0.80K/D
1,009Matches
47.3%Match win rate · Top 50% of tracked players
59.1%Headshot % · Top 10% of tracked players
8.2%Shot accuracy
1,368MVPs
272Hours (in match)
229Bombs planted
116Bombs defused

Most-used weapons

AK-474,390
AWP1,456
Molotov545
MP9491

Lifetime map wins

1,297dust2
496inferno
412office
393vertigo
340nuke
151train
9cbble
8italy

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.

25.7%Headshot accuracy
36.1%Accuracy (enemy spotted)
42.2%Spray accuracy
76.7%Counter-strafing
9.9°Preaim
582msReaction time
25.9%T opening success
41.3%CT opening success
0.46Enemies flashed / flash
3.9%Flash assists
5.77HE damage / grenade
8.51Flashes / 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.

  1. 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 0.4609 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 25.9059% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0125%13 Aug
ancient9–130.0824%8 Aug
mirage8–130.0125%7 Aug
mirage0–13-0.1144%7 Aug
mirage13–2-0.0213%7 Aug
mirage5–13-0.0913%6 Aug
dust20–13-0.0319%6 Aug
mirage13–6-0.130%5 Aug
vertigo12–120.1326%29 Jul
anubis8–13-0.0325%28 Jul
anubis12–12-0.0615%28 Jul
anubis6–13-0.0323%28 Jul
anubis0–13-0.05100%28 Jul
mirage3–10-0.0233%22 Jul
dust21–13-0.09100%22 Jul
mirage13–11-0.0617%22 Jul
nuke13–40.0219%22 Jul
anubis15–15-0.0322%21 Jul
dust22–13-0.0522%21 Jul
inferno13–9-0.0113%19 Jul
inferno10–13-0.0513%19 Jul
mirage0–13-0.030%19 Jul
vertigo8–130.1221%3 Jun
vertigo13–20.0817%3 Jun
anubis13–3-0.0428%27 May
anubis13–60.0839%27 May
ancient10–13-0.0520%23 May
anubis13–20.0235%23 May
inferno4–13-0.0432%21 May
dust211–13-0.0524%20 May
dust27–130.0233%20 May
inferno8–13-0.0720%20 May
office13–100.0623%15 May
inferno0–13-0.090%15 May
dust20–13-0.0350%15 May
overpass0–13-0.0418%15 May
mirage4–13-0.0735%15 May
inferno11–20.0423%15 May
inferno13–4-0.0216%15 May
dust24–13-0.1124%9 May
cache13–90.0621%9 May
cache12–12-0.0426%8 May
cache13–10-0.0222%3 May
inferno13–4-0.0132%3 May
cache13–8-0.0313%3 May
train13–100.0120%24 Apr
anubis12–16-0.0929%12 Apr
dust22–13-0.1121%8 Apr
mirage13–1-0.0531%8 Apr
mirage13–6-0.0515%8 Apr
mirage4–13-0.0426%8 Apr
anubis13–5-0.0422%8 Apr
dust213–5-0.0236%7 Apr
ancient13–100.0324%7 Apr
mirage10–130.0219%4 Apr
inferno1–7-0.090%4 Apr
dust25–130.0732%4 Apr
nuke13–90.0630%4 Apr
dust216–14-0.0215%3 Apr
dust210–130.0223%29 Mar
inferno5–13-0.0918%28 Mar
ancient13–8-0.147%28 Mar
mirage5–13-0.0124%28 Mar
mirage13–80.1228%27 Mar
office12–12-0.0425%18 Mar
overpass3–13-0.1013%17 Mar
overpass13–8-0.0214%17 Mar
dust213–4-0.0231%11 Feb
dust213–70.0431%17 Jan
mirage13–9-0.0427%23 Dec
nuke13–50.0528%18 Nov
dust210–130.0314%14 Nov
dust22–130.0111%11 Nov
train13–0-0.038%5 Nov
train3–13-0.0529%5 Nov
train13–8-0.0314%5 Nov
office13–3-0.0114%1 Nov
dust213–30.0141%27 Oct
mirage13–8-0.0319%23 Oct
vertigo11–130.0325%23 Oct
vertigo10–13-0.0519%22 Oct
anubis13–50.0514%18 Oct
anubis0–130.0325%18 Oct
anubis11–13-0.0211%17 Oct
dust216–140.0122%8 Oct
nuke13–100.0317%4 Oct
nuke7–13-0.059%4 Oct
mirage13–9-0.0818%4 Oct
office8–13-0.0324%2 Oct
office13–110.0515%2 Oct
dust211–13-0.0126%2 Oct
overpass12–120.0818%24 Sept
overpass13–80.0316%24 Sept
mirage16–120.0314%17 Sept
ancient7–13-0.0714%15 Sept
ancient16–140.0618%10 Sept
train13–100.0222%10 Sept
mirage7–13-0.0426%10 Sept
ancient13–80.0112%3 Sept
train3–130.0315%3 Sept

Match data via Leetify.

Milestones

100 Matches
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