JoeBals

JoeBals — CS2 Stats

76561199081120830[U:1:1120855102]Steam profile ↗✓ No bans

709Tracked matches50%Win rate2022Tracked since
1,757Hours in CS31Hrs last 2 wks
CSDB Rating3.2 LearningClutch Specialist
Premier CS Rating1,435Grey band · top ~93.9% of ranked players (population est.)
FaceitLevel 1 · 490 ELOTop 100.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 1,435 -311 27 Jun – 2 Nov · 18 days played
1,1162,602peak 2,60227 Jun2 Nov
2,706Peak Premier in tracked matches
490Highest Faceit ELO seen on CSDB
38Days played since 2026-06-25

Faceit ELO

  • At peak — 490
  • Next: Level 2 at 501 — 11 to go

Premier CS Rating

  • 1,167 below peak (2,602)
  • -423 over 30 days · declining
  • Next: Light Blue band at 5,000 — 3,565 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate39.3%40.9%41.3%2.0% short
Shot accuracy2.7%14.2%12.7%10.0% short
Kill/death ratio0.770.950.950.19 short
Match win rate39.8%42.1%42.6%2.8% short

This profile sits below the typical Level 2 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJoeBalsFACEITLevel 1 · 490 ELOSTANDINGTop 100.0% of rankedPREMIER1,435 · Grey bandPEAK ELO490csdb.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

Aim16
Positioning53
Utility39

0–100 skill scores via Leetify.

Recent form

HOT45–49–6Last 10045%Win rateWWTWWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +2.8pp headshot accuracy · −71ms reaction

Win rate up 30pp 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

  • 4–0–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 591ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 734ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 770ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim1.6
Utility3.9
Positioning5.3
Opening Duels1.5
Clutch8.0

Limited utility dependenceReliable in 1v1s

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

jL

Plays most like jL 52% 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

Reaction time. 794ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.6
Positioning5.3
Utility3.9
Mechanics4.0
Opening Duels3.5
Win Impact5.0

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time766ms+20ms
first ⅓ avg 746ms → last ⅓ avg 766ms
Headshot accuracy15.1%−2.7%
first ⅓ avg 17.9% → last ⅓ avg 15.1%

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

0.06Best match rating · 13–8 · train, 24 Oct →
50%Best headshot accuracy · 2–9 · inferno, 27 Sept →
531msFastest reaction time · 15–15 · dust2, 21 Sept →
13–1Biggest win · cache, 24 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
5–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 57% over 23cacheWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.02
dust2B2312–1152%-0.05
nukeD175–1229%-0.04
infernoB136–746%-0.05
cacheD133–1023%-0.04
train—43–175%-0.03
anubis—41–325%-0.04
ancient—21–150%-0.01
overpass—11–0100%-0.09

Across the last 100 tracked matches.

Lifetime stats

21,606Lifetime kills
0.77K/D
1,769Matches
39.8%Match win rate
39.3%Headshot %
2.7%Shot accuracy
3,588MVPs
558Hours (in match)
1,393Bombs planted
318Bombs defused

Most-used weapons

Lifetime map wins

2,923inferno
2,921nuke
2,522dust2
626train
489vertigo
45lake
25cbble

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

Faceit stats

Combat

9Matches
33%Win rate
0.85Avg K/D
68.5ADR
46%Headshot %

Clutches & streaks

60%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2450%0.8815.8
Ancient333%0.9711.7
Nuke10%0.7927.0
Mirage10%0.406.0

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.

15.5%Headshot accuracy
24.2%Accuracy (enemy spotted)
22.3%Spray accuracy
68.1%Counter-strafing
9.1°Preaim
794msReaction time
49.7%T opening success
38.1%CT opening success
0.50Enemies flashed / flash
3.2%Flash assists
7.07HE damage / grenade
4.74Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 794.0947ms — above the 700ms 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 0.4971 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.1226% — below the 40% mark we flag

Spend your practice time on Cache

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train4–12-0.100%5 Nov →
nuke9–00.0113%2 Nov →
mirage12–12-0.0725%2 Nov →
mirage13–5-0.0620%2 Nov →
inferno13–40.0327%2 Nov →
cache11–13-0.0214%2 Nov →
dust213–80.0219%2 Nov →
nuke13–7-0.029%1 Nov →
inferno11–13-0.0411%31 Oct →
cache13–1-0.0113%24 Oct →
mirage1–6-0.0413%24 Oct →
train13–80.0614%24 Oct →
mirage13–5-0.0211%13 Oct →
dust211–13-0.127%12 Oct →
cache13–10-0.106%12 Oct →
inferno6–13-0.026%12 Oct →
anubis5–13-0.069%11 Oct →
mirage11–13-0.0314%11 Oct →
nuke14–16-0.0520%11 Oct →
train13–11-0.0521%10 Oct →
train10–13-0.0219%9 Oct →
anubis14–16-0.0317%8 Oct →
cache4–13-0.0313%8 Oct →
dust25–13-0.0513%7 Oct →
mirage10–13-0.053%6 Oct →
cache15–15-0.1031%6 Oct →
mirage13–90.0324%6 Oct →
dust213–70.0213%6 Oct →
inferno8–130.0018%6 Oct →
mirage13–5-0.0319%5 Oct →
dust212–12-0.0629%4 Oct →
dust213–6-0.1310%4 Oct →
cache7–13-0.0922%3 Oct →
mirage6–13-0.0825%2 Oct →
cache9–130.0113%2 Oct →
mirage10–00.0125%2 Oct →
dust213–6-0.1124%1 Oct →
dust213–6-0.0318%30 Sept →
inferno13–30.059%30 Sept →
dust213–8-0.0513%30 Sept →
inferno13–5-0.0710%29 Sept →
dust213–7-0.0922%29 Sept →
cache6–130.0414%29 Sept →
mirage13–11-0.0221%29 Sept →
dust215–150.0213%29 Sept →
nuke5–13-0.0126%29 Sept →
mirage7–13-0.068%28 Sept →
dust213–3-0.025%28 Sept →
inferno11–13-0.138%27 Sept →
inferno13–7-0.0617%27 Sept →
nuke4–13-0.0430%27 Sept →
inferno2–9-0.2050%27 Sept →
mirage13–8-0.047%26 Sept →
ancient13–9-0.0417%26 Sept →
inferno8–8-0.0611%26 Sept →
anubis11–13-0.017%26 Sept →
mirage13–80.046%26 Sept →
mirage13–100.0415%25 Sept →
cache11–130.0215%25 Sept →
inferno13–11-0.0920%25 Sept →
inferno9–7-0.0331%24 Sept →
nuke13–10-0.065%24 Sept →
nuke11–13-0.108%24 Sept →
dust213–5-0.039%24 Sept →
nuke9–13-0.047%24 Sept →
mirage13–9-0.0413%23 Sept →
inferno13–16-0.0517%22 Sept →
dust26–13-0.0326%22 Sept →
dust215–15-0.0721%21 Sept →
mirage5–13-0.0619%21 Sept →
dust213–6-0.1118%20 Sept →
mirage13–8-0.0112%20 Sept →
anubis13–3-0.0614%18 Sept →
mirage10–13-0.0614%18 Sept →
mirage13–20.0017%18 Sept →
nuke6–13-0.0319%18 Sept →
cache7–13-0.1025%17 Sept →
cache4–13-0.1114%17 Sept →
nuke8–13-0.0227%17 Sept →
mirage3–130.0218%17 Sept →
nuke4–13-0.0222%17 Sept →
nuke1–13-0.0823%16 Sept →
cache4–13-0.0023%16 Sept →
dust28–13-0.0018%16 Sept →
dust23–13-0.0819%15 Sept →
cache13–6-0.0418%15 Sept →
mirage5–13-0.0212%15 Sept →
dust29–130.0324%15 Sept →
dust210–13-0.128%14 Sept →
nuke7–13-0.0919%14 Sept →
dust213–7-0.0522%14 Sept →
ancient10–130.0222%13 Sept →
nuke8–13-0.0714%28 Jun →
dust211–13-0.0822%28 Jun →
mirage16–14-0.0114%27 Jun →
dust213–10-0.0110%27 Jun →
nuke4–13-0.0615%27 Jun →
overpass13–8-0.0915%25 Jun →
nuke13–10.0013%25 Jun →
nuke9–5-0.0414%25 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.