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Jomby

Jomby — CS2 Stats

76561198161376406[U:1:201110678]Steam profile ↗✓ No bans

550Tracked matches61%Win rate2020Tracked since
3,386Hours in CS1Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 550
−2.3ppWin rate · 63.0% → 60.7%

Rating over time

43Days played since 2026-06-21

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate27.1%44.8%45.7%18.6% short
Shot accuracy17.2%12.4%12.7%above
Kill/death ratio1.021.031.050.03 short
Match win rate43.3%45.2%45.7%2.3% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJombyFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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

Aim74
Positioning71
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY56–36–8Last 10056%Win rateLWWLWLTLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +4.0pp headshot accuracy · +2ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 466ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 483ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 482ms

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: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim7.4
Utility3.8
Positioning7.1
Opening Duels4.9
Clutch4.4

Limited 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.

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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.4
Positioning7.1
Utility3.8
Mechanics5.8
Opening Duels5.6
Win Impact8.6

Composite 6.5/10 (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 rating0.04−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time482ms−50ms
first ⅓ avg 532ms → last ⅓ avg 482ms
Headshot accuracy14.3%−0.5%
first ⅓ avg 14.8% → last ⅓ avg 14.3%

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.

Personal bests

0.19Best match rating · 13–1 · vertigo, 5 Sept →
38%Best headshot accuracy · 13–11 · mirage, 11 Oct →
297msFastest reaction time · 2–7 · dust2, 2 Sept →
13–1Biggest win · vertigo, 5 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–6In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA3019–1163%0.04
dust2A2916–1355%0.04
infernoC135–838%0.05
cacheS75–271%0.05
ancientC52–340%0.02
nuke—42–250%0.05
office—43–175%0.04
anubis—32–167%0.01
train—20–20%0.05
vertigo—11–0100%0.19
overpass—11–0100%0.09
fachwerk—10–10%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,709Lifetime kills
1.02K/D
5,083Matches
43.3%Match win rate
27.1%Headshot %
17.2%Shot accuracy · Top 25% of Level 6 players
10,206MVPs
2,251Hours (in match)
3,643Bombs planted
1,196Bombs defused

Most-used weapons

AWP18,513
AK-4712,545
M4A4 / M4A1-S7,529
AUG6,174
SG 5535,499
P2000 / USP-S3,950
P903,949
Knife2,673
Glock-182,182
Negev1,850

Lifetime map wins

9,549dust2
2,518inferno
1,589nuke
530vertigo
475cbble
411train
276office
222safehouse

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

Faceit stats

Combat

80Matches
55%Win rate
1.10Avg K/D
85.5ADR
35%Headshot %

Clutches & streaks

42%1v1 clutch win
32%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1963%1.3116.7
Inferno875%1.4016.9
Ancient667%1.0813.7
Dust2540%0.9510.0
Anubis4100%1.1013.8
Nuke2100%1.0217.5

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.

13.9%Headshot accuracy
33.3%Accuracy (enemy spotted)
35.3%Spray accuracy
76.2%Counter-strafing
7.8°Preaim
484msReaction time
54.2%T opening success
50.4%CT opening success
0.45Enemies flashed / flash
2.4%Flash assists
12.32HE damage / grenade
4.83Flashes / 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 13.8892% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4453 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–130.0714%23 Oct →
cache13–30.0413%11 Oct →
mirage13–11-0.0438%11 Oct →
cache6–13-0.0216%11 Oct →
mirage13–30.0222%4 Oct →
mirage3–13-0.0614%20 Sept →
mirage12–120.055%20 Sept →
anubis5–13-0.036%19 Sept →
mirage13–10-0.059%18 Sept →
inferno13–80.0225%18 Sept →
nuke13–60.029%11 Sept →
ancient8–13-0.034%11 Sept →
dust26–13-0.0415%11 Sept →
inferno12–12-0.025%9 Sept →
inferno13–9-0.0118%6 Sept →
office13–30.0812%6 Sept →
dust213–30.0515%6 Sept →
nuke13–110.0615%5 Sept →
vertigo13–10.1916%5 Sept →
office13–11-0.0615%5 Sept →
office11–130.0310%4 Sept →
cache13–10.1213%4 Sept →
mirage13–20.0727%4 Sept →
ancient9–13-0.0111%4 Sept →
dust213–50.107%3 Sept →
dust210–10.1613%3 Sept →
dust22–7-0.0714%2 Sept →
dust210–130.0614%2 Sept →
mirage13–30.1313%2 Sept →
inferno8–130.1511%2 Sept →
dust213–50.0727%2 Sept →
mirage1–90.0810%2 Sept →
mirage13–50.0117%1 Sept →
dust212–120.0424%1 Sept →
dust213–30.0521%31 Aug →
ancient13–11-0.0510%30 Aug →
cache13–90.0110%30 Aug →
inferno10–130.0622%29 Aug →
dust213–10-0.0014%28 Aug →
mirage13–50.0716%28 Aug →
dust213–60.059%27 Aug →
anubis13–110.0212%25 Aug →
mirage11–130.013%24 Aug →
mirage13–90.038%24 Aug →
dust213–70.1122%23 Aug →
mirage10–130.0312%23 Aug →
ancient13–60.0619%23 Aug →
dust213–11-0.0118%23 Aug →
dust28–13-0.0010%20 Aug →
dust213–20.0932%20 Aug →
mirage13–10-0.0210%19 Aug →
mirage13–7-0.025%17 Aug →
dust213–30.1027%15 Aug →
dust213–20.079%15 Aug →
inferno13–60.1317%15 Aug →
mirage9–13-0.029%15 Aug →
dust211–13-0.0320%14 Aug →
mirage13–50.0014%13 Aug →
dust213–40.1323%13 Aug →
dust213–20.103%11 Aug →
mirage13–40.1014%11 Aug →
inferno13–100.0417%11 Aug →
mirage13–40.0716%10 Aug →
mirage12–120.0112%9 Aug →
mirage13–8-0.0210%9 Aug →
dust213–80.0020%8 Aug →
mirage13–70.0811%8 Aug →
mirage5–130.0013%8 Aug →
office13–80.1010%8 Aug →
mirage2–130.0717%8 Aug →
inferno10–130.0514%6 Aug →
mirage8–10.119%6 Aug →
mirage7–130.1211%6 Aug →
inferno10–130.0513%3 Aug →
dust213–80.0523%2 Aug →
inferno11–130.0111%1 Aug →
dust28–13-0.0210%31 Jul →
dust211–13-0.0011%31 Jul →
dust211–130.0019%31 Jul →
inferno13–70.1422%30 Jul →
mirage11–20.0510%30 Jul →
cache13–50.0512%30 Jul →
dust29–130.0722%30 Jul →
mirage13–40.0321%30 Jul →
cache13–80.0119%30 Jul →
dust212–120.1014%30 Jul →
overpass13–100.0921%30 Jul →
dust212–120.0115%29 Jul →
mirage8–130.0615%29 Jul →
nuke3–130.0522%29 Jul →
anubis13–60.056%10 Jul →
fachwerk9–130.005%10 Jul →
train12–120.0814%10 Jul →
dust210–13-0.0413%10 Jul →
cache12–120.1327%5 Jul →
inferno8–130.0221%5 Jul →
train8–130.0216%27 Jun →
mirage13–40.1716%27 Jun →
inferno5–13-0.027%27 Jun →
ancient5–130.139%21 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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