jimmy boy>EdX

jimmy boy>EdX — CS2 Stats

RE76561198019743816[U:1:59478088]Steam profile ↗✓ No bans

3,800Tracked matches48%Win rate2020Tracked since
6,307Hours in CS18Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
Premier CS Rating14,882Blue band · top ~29% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGjimmy boy>EdXFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,882 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning44
Utility59

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLTTLWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.8pp headshot accuracy · +31ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 506ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 534ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 518ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim6.7
Utility5.9
Positioning4.4
Opening Duels0.3

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim6.7
Positioning4.4
Utility5.9
Mechanics5.3
Opening Duels1.8
Win Impact4.4

Composite 4.9/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time517ms−12ms
first ⅓ avg 529ms → last ⅓ avg 517ms
Headshot accuracy13.9%−0.7%
first ⅓ avg 14.7% → last ⅓ avg 13.9%

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.

Personal bests

0.12Best match rating · 7–0 · cache, 29 Sept →
33%Best headshot accuracy · 13–10 · dust2, 19 Oct →
344msFastest reaction time · 9–13 · ancient, 22 Sept →
13–0Biggest win · dust2, 28 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 66% over 32anubisWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2S3221–1166%0.01
mirageC269–1735%0.00
infernoA117–464%0.02
anubisD113–827%-0.02
cacheB105–550%0.02
nukeC73–443%-0.02
ancient—31–233%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

155,374Lifetime kills
1.04K/D
8,605Matches
47.1%Match win rate
44.1%Headshot %
12.9%Shot accuracy
18,841MVPs
3,508Hours (in match)
8,932Bombs planted
3,183Bombs defused

Most-used weapons

SSG 0821,214
AWP20,730
AK-4718,468
XM101411,797
MAC-104,886
P903,575

Lifetime map wins

35,139dust2
18,164inferno
1,538nuke
602train
496aztec
461vertigo
318dust
308office

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

Faceit stats

Combat

5Matches
60%Win rate
0.65Avg K/D
—ADR
47%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLW

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.

14.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.4%Spray accuracy
74.0%Counter-strafing
10.9°Preaim
522msReaction time
38.2%T opening success
36.1%CT opening success
0.65Enemies flashed / flash
4.2%Flash assists
10.29HE damage / grenade
15.05Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.35% — below the 15% mark we flag

    Aim Training →
  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 38.2126% — below the 40% mark we flag

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0414%12 Nov →
inferno15–150.0328%12 Nov →
cache15–150.0011%8 Nov →
anubis11–13-0.0315%8 Nov →
dust213–30.019%8 Nov →
mirage7–13-0.066%8 Nov →
cache9–13-0.0621%7 Nov →
inferno13–70.0521%7 Nov →
dust213–60.0824%7 Nov →
dust21–13-0.120%4 Nov →
nuke13–6-0.0510%4 Nov →
anubis11–13-0.0223%4 Nov →
dust26–13-0.0913%4 Nov →
mirage15–150.1016%4 Nov →
dust213–110.0420%3 Nov →
nuke10–130.0012%3 Nov →
mirage7–13-0.0615%2 Nov →
anubis16–13-0.059%2 Nov →
mirage6–13-0.0113%1 Nov →
mirage13–80.0310%1 Nov →
mirage11–13-0.0511%1 Nov →
cache13–11-0.0110%1 Nov →
dust213–100.046%29 Oct →
dust213–9-0.0523%29 Oct →
anubis9–130.0819%28 Oct →
dust213–00.076%28 Oct →
dust213–60.0615%28 Oct →
mirage13–60.0513%28 Oct →
mirage4–13-0.095%28 Oct →
anubis10–130.0019%28 Oct →
mirage13–90.0111%27 Oct →
dust213–9-0.0116%27 Oct →
dust213–9-0.0118%27 Oct →
cache11–130.0213%27 Oct →
cache3–13-0.0219%27 Oct →
dust24–13-0.015%27 Oct →
anubis13–100.049%26 Oct →
mirage13–9-0.0410%26 Oct →
mirage13–60.0816%26 Oct →
inferno15–15-0.0311%26 Oct →
inferno4–13-0.0931%24 Oct →
ancient9–130.0615%24 Oct →
dust215–150.0027%24 Oct →
mirage13–30.047%23 Oct →
dust213–80.0318%23 Oct →
mirage10–130.0111%23 Oct →
dust213–4-0.0013%23 Oct →
dust27–13-0.0121%22 Oct →
dust211–130.0411%22 Oct →
inferno13–5-0.0020%22 Oct →
dust213–10-0.0120%22 Oct →
nuke5–13-0.0520%22 Oct →
anubis13–11-0.0417%22 Oct →
inferno13–40.0818%21 Oct →
dust211–13-0.098%21 Oct →
mirage4–13-0.0422%21 Oct →
dust213–100.0333%19 Oct →
inferno13–70.0628%19 Oct →
anubis7–13-0.0410%18 Oct →
dust213–90.0010%18 Oct →
dust213–70.0511%15 Oct →
anubis5–13-0.0211%15 Oct →
dust213–80.047%15 Oct →
inferno13–60.0820%15 Oct →
dust213–20.0727%15 Oct →
mirage11–13-0.0018%15 Oct →
dust216–140.0520%15 Oct →
ancient13–80.0310%14 Oct →
inferno8–13-0.0518%13 Oct →
mirage13–30.078%13 Oct →
dust213–30.1012%13 Oct →
mirage16–130.0821%12 Oct →
cache13–110.0112%12 Oct →
inferno13–60.0525%12 Oct →
dust211–13-0.0121%12 Oct →
dust213–4-0.0715%12 Oct →
mirage12–16-0.0311%11 Oct →
mirage13–16-0.0214%11 Oct →
nuke3–13-0.056%11 Oct →
mirage13–30.1214%7 Oct →
dust27–13-0.0425%7 Oct →
inferno13–40.0513%5 Oct →
dust213–40.0921%5 Oct →
mirage6–13-0.0116%5 Oct →
dust29–13-0.0211%4 Oct →
mirage2–13-0.055%4 Oct →
anubis9–13-0.069%1 Oct →
cache13–70.0822%30 Sept →
mirage4–13-0.060%30 Sept →
nuke6–13-0.053%29 Sept →
cache13–40.0518%29 Sept →
dust25–13-0.0024%29 Sept →
nuke13–110.0321%29 Sept →
cache7–00.1232%29 Sept →
cache9–13-0.022%28 Sept →
anubis7–13-0.097%28 Sept →
mirage7–130.0131%28 Sept →
nuke13–9-0.016%27 Sept →
mirage7–130.0217%27 Sept →
ancient9–13-0.0617%22 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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