Jorgo

Jorgo — CS2 Stats

76561198136306012[U:1:176040284]Steam profile ↗✓ No bans

3,134Tracked matches43%Win rate2020Tracked since
3,567Hours in CS13Hrs last 2 wks
CSDB Rating6.7 SolidSupport
Premier CS Rating19,418Top 50% of 213,399 CSDB-tracked playersPurple band · top ~10.8% of ranked players (population est.)
CSDB Leaderboard#94246 of 260005 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (7 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: 19,418 -4,340 21 Sept – 29 Oct · 13 days played
19,41823,758peak 23,75821 Sept29 Oct
23,988Peak Premier in tracked matches
23Days played since 2026-08-31

Premier CS Rating

  • 4,340 below peak (23,758)
  • -2,137 over 30 days · declining
  • Next: Pink band at 20,000 — 582 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate46.5%46.8%48.2%1.7% short
Shot accuracy5.5%13.0%13.2%7.7% short
Kill/death ratio0.931.061.070.14 short
Match win rate45.6%46.3%46.9%1.4% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJorgoFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,418 · Purple bandcsdb.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

Aim87
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLWLLWLLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +5.4pp headshot accuracy · +49ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 30%
  • Avg reaction 527ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 549ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 525ms

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 (+1.6 against its own average).

Aim8.7
Utility5.9
Positioning5.8
Opening Duels4.1
Clutch1.4

Sharp aimer

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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

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

Aim8.7
Positioning5.8
Utility5.9
Mechanics8.4
Opening Duels5.5
Win Impact2.8

Composite 6.7/10 (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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time530ms+19ms
first ⅓ avg 511ms → last ⅓ avg 530ms
Headshot accuracy23.5%+5.1%
first ⅓ avg 18.4% → last ⅓ avg 23.5%

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

0.14Best match rating · 13–3 · ancient, 4 Sept →
39%Best headshot accuracy · 13–9 · dust2, 26 Oct →
383msFastest reaction time · 4–9 · inferno, 25 Sept →
13–1Biggest win · cache, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

vertigoBest map · 83% over 6nukeWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
cacheB168–850%0.01
infernoA159–660%-0.02
anubisB157–847%-0.01
mirageD123–925%-0.03
nukeD112–918%-0.01
dust2C114–736%-0.01
ancientA95–456%-0.01
vertigoS65–183%0.03
office—32–167%-0.02
italy—10–10%-0.10
train—11–0100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,040Lifetime kills
0.93K/D
5,635Matches
45.6%Match win rate
46.5%Headshot %
5.5%Shot accuracy
12,352MVPs
1,903Hours (in match)
2,487Bombs planted
564Bombs defused

Most-used weapons

AK-4725,776
MP94,332
AWP4,179
MAC-104,041
FAMAS2,527

Lifetime map wins

14,340office
3,731inferno
2,735vertigo
2,602train
2,284dust2
2,032nuke
599cbble
464italy

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

Faceit stats

Combat

95Matches
55%Win rate
1.04Avg K/D
86.2ADR
54%Headshot %

Clutches & streaks

27%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2045%0.8413.9
Ancient1662%1.1417.6
Inferno1354%1.0315.8
Cache1145%0.9915.7
Anubis1164%1.0416.0
Dust21155%1.1416.3
Nuke850%1.1919.0
Vertigo2100%1.7521.0

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.

23.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.1%Spray accuracy
87.9%Counter-strafing
9.2°Preaim
535msReaction time
51.3%T opening success
52.4%CT opening success
0.63Enemies flashed / flash
7.2%Flash assists
8.89HE damage / grenade
8.34Flashes / match

Recommended for you

Spend your practice time on Nuke

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0826%29 Oct →
cache13–20.1433%28 Oct →
nuke6–13-0.0332%28 Oct →
dust21–9-0.0131%28 Oct →
inferno13–4-0.0029%28 Oct →
nuke10–130.0426%28 Oct →
mirage8–13-0.0424%28 Oct →
cache10–13-0.0218%27 Oct →
dust24–13-0.0716%27 Oct →
dust26–13-0.0331%27 Oct →
anubis14–16-0.0218%27 Oct →
cache9–13-0.0217%26 Oct →
dust213–9-0.0239%26 Oct →
cache13–30.0916%26 Oct →
anubis6–13-0.0822%26 Oct →
vertigo7–130.0130%26 Oct →
vertigo13–5-0.0123%20 Oct →
office13–50.0222%17 Oct →
italy1–13-0.108%17 Oct →
dust21–13-0.0716%9 Oct →
anubis13–9-0.0126%8 Oct →
office13–80.0131%5 Oct →
cache13–80.0729%5 Oct →
anubis13–11-0.0415%30 Sept →
anubis10–13-0.0520%27 Sept →
cache13–70.0116%27 Sept →
mirage9–13-0.0428%27 Sept →
inferno13–8-0.0121%27 Sept →
nuke2–13-0.0134%27 Sept →
vertigo13–70.0421%27 Sept →
anubis13–70.0112%27 Sept →
dust211–130.0821%27 Sept →
nuke15–150.0222%26 Sept →
anubis11–13-0.0121%26 Sept →
mirage16–13-0.0726%26 Sept →
cache13–10.047%26 Sept →
inferno13–16-0.0224%25 Sept →
anubis13–50.0620%25 Sept →
nuke3–13-0.0613%25 Sept →
anubis13–20.0620%25 Sept →
inferno13–90.0510%25 Sept →
mirage13–16-0.0420%25 Sept →
inferno4–9-0.1211%25 Sept →
dust26–13-0.0614%24 Sept →
ancient9–13-0.0920%24 Sept →
nuke13–20.0713%24 Sept →
mirage11–13-0.0713%24 Sept →
inferno16–13-0.0324%23 Sept →
vertigo13–110.0221%23 Sept →
ancient9–13-0.0228%23 Sept →
nuke12–16-0.0230%23 Sept →
nuke11–13-0.0724%23 Sept →
mirage9–13-0.0721%23 Sept →
cache13–100.0117%23 Sept →
inferno0–6-0.110%23 Sept →
nuke10–130.0126%23 Sept →
dust213–11-0.054%23 Sept →
nuke10–13-0.0526%23 Sept →
cache13–80.0320%23 Sept →
ancient0–8-0.080%22 Sept →
inferno13–7-0.0127%22 Sept →
cache13–20.1026%22 Sept →
anubis13–16-0.0938%22 Sept →
anubis3–13-0.106%22 Sept →
anubis9–13-0.0221%22 Sept →
cache8–13-0.0317%22 Sept →
inferno3–13-0.0029%21 Sept →
cache4–13-0.0914%21 Sept →
inferno13–20.0614%21 Sept →
office0–13-0.0816%21 Sept →
anubis13–30.1022%21 Sept →
cache14–16-0.0223%21 Sept →
cache15–150.0222%21 Sept →
inferno13–11-0.086%20 Sept →
ancient13–50.0123%20 Sept →
ancient13–6-0.049%20 Sept →
inferno13–70.0916%20 Sept →
mirage13–4-0.0021%7 Sept →
inferno8–13-0.0313%7 Sept →
dust213–110.0314%7 Sept →
mirage13–16-0.0311%6 Sept →
ancient5–13-0.0320%6 Sept →
dust213–70.0414%6 Sept →
inferno7–13-0.0417%6 Sept →
vertigo13–90.0615%6 Sept →
inferno13–90.0120%6 Sept →
mirage13–8-0.0315%5 Sept →
mirage8–130.0120%5 Sept →
vertigo13–70.0824%5 Sept →
anubis16–120.0728%5 Sept →
ancient13–90.0116%5 Sept →
nuke13–11-0.0323%5 Sept →
cache9–13-0.0229%5 Sept →
mirage10–13-0.0019%4 Sept →
ancient13–30.1428%4 Sept →
mirage10–130.0319%4 Sept →
anubis8–13-0.0212%4 Sept →
dust211–130.0131%4 Sept →
train13–4-0.0125%3 Sept →
ancient13–9-0.037%3 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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