Jamo

Jamo — CS2 Stats

GB76561198121138973[U:1:160873245]Steam profile ↗✓ No bans

1,954Tracked matches57%Win rate2020Tracked since
4,612Hours in CS7Hrs last 2 wks
CSDB Rating6.0 SolidAll-Rounder
Premier CS Rating25,231Top 10% of 200,982 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#18168 of 247906 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (15 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: 25,231 +117 21 Jul – 16 Sept · 26 days played
24,00027,146peak 27,14621 Jul16 Sept
27,146Peak Premier in tracked matches
40Days played since 2026-07-19

Premier CS Rating

  • 1,915 below peak (27,146)
  • +400 over 30 days · steady
  • Next: Gold band at 30,000 — 4,769 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches61——
Win rate59%——
K/D1.20——
Headshot %32%——

Measured 1 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,327), 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 9 medianLevel 10 medianvs Level 10
Headshot rate32.4%48.2%50.9%18.6% short
Shot accuracy15.3%13.3%13.8%above
Kill/death ratio1.151.071.09above
Match win rate46.3%46.9%48.4%2.1% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJamoFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,231 · Red 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

Aim68
Positioning53
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateWWWWLLLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.8pp headshot accuracy · +18ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 7%
  • Avg reaction 581ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 567ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 558ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.8
Utility4.7
Positioning5.3
Opening Duels4.4
Clutch4.0

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 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 569ms 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

Aim6.8
Positioning5.3
Utility4.7
Mechanics5.5
Opening Duels3.4
Win Impact7.2

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time580ms−11ms
first ⅓ avg 590ms → last ⅓ avg 580ms
Headshot accuracy14.0%+1.2%
first ⅓ avg 12.8% → last ⅓ avg 14.0%

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

0.20Best match rating · 9–0 · inferno, 8 Sept →
32%Best headshot accuracy · 4–13 · cache, 25 Aug →
320msFastest reaction time · 4–9 · inferno, 8 Sept →
13–1Biggest win · cache, 1 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
8–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheS2416–867%0.03
infernoA2414–1058%0.02
dust2A127–558%0.01
ancientD113–827%0.01
nukeA106–460%0.02
anubisS75–271%0.01
mirageA53–260%-0.00
vertigo—31–233%0.02
train—22–0100%0.04
overpass—11–0100%0.03
office—10–10%-0.09

Across the last 100 tracked matches.

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

Lifetime stats

135,750Lifetime kills
1.15K/D · Top 50% of Level 9 players
6,595Matches
46.3%Match win rate
32.4%Headshot %
15.3%Shot accuracy · Top 50% of Level 9 players
18,025MVPs
2,786Hours (in match)
6,070Bombs planted
1,808Bombs defused

Most-used weapons

AK-4739,577
AWP12,262
SG 5534,447
AUG4,079
P2503,522

Lifetime map wins

18,796inferno
6,636train
6,087nuke
4,019dust2
2,786vertigo
2,350cbble
115lake
86office

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

Faceit stats

Combat

58Matches
59%Win rate
1.49Avg K/D
98.9ADR
32%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust21471%1.5820.6
Inferno1354%1.6017.9
Cache875%1.7423.1
Nuke580%2.2218.8
Ancient450%1.2621.3
Anubis333%1.0115.0
Vertigo250%1.1015.0
Mirage20%0.7012.0

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.

13.6%Headshot accuracy
36.7%Accuracy (enemy spotted)
42.9%Spray accuracy
74.9%Counter-strafing
10.5°Preaim
569msReaction time
36.8%T opening success
50.2%CT opening success
0.48Enemies flashed / flash
4.5%Flash assists
10.96HE damage / grenade
6.04Flashes / 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 13.6189% — 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 0.4786 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 36.8171% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0411%30 Sept →
overpass13–30.034%30 Sept →
mirage13–4-0.017%30 Sept →
vertigo13–80.085%26 Sept →
vertigo7–13-0.0810%26 Sept →
vertigo1–60.0620%26 Sept →
ancient10–130.009%16 Sept →
anubis13–70.0618%16 Sept →
mirage13–6-0.0111%16 Sept →
dust29–13-0.0112%13 Sept →
cache13–110.0618%13 Sept →
inferno13–30.1219%13 Sept →
nuke13–110.0510%12 Sept →
nuke9–50.0916%10 Sept →
inferno4–9-0.1020%8 Sept →
inferno9–00.2017%8 Sept →
inferno13–60.0310%7 Sept →
nuke3–13-0.0613%7 Sept →
cache5–13-0.0310%6 Sept →
dust23–13-0.0522%6 Sept →
dust213–30.0619%6 Sept →
inferno13–110.0718%5 Sept →
ancient11–130.1221%4 Sept →
cache13–50.0522%2 Sept →
office1–13-0.0920%2 Sept →
cache13–10.100%1 Sept →
dust21–13-0.0313%31 Aug →
cache13–50.1610%30 Aug →
cache7–13-0.0116%29 Aug →
inferno13–60.0212%29 Aug →
dust23–13-0.0119%29 Aug →
ancient2–13-0.0510%28 Aug →
cache13–90.0920%28 Aug →
cache6–13-0.019%28 Aug →
inferno2–130.019%27 Aug →
cache16–13-0.007%26 Aug →
nuke6–130.0115%26 Aug →
cache13–9-0.056%26 Aug →
mirage7–13-0.067%26 Aug →
cache4–13-0.0132%25 Aug →
cache13–70.0723%25 Aug →
ancient9–13-0.0521%25 Aug →
cache13–60.0614%24 Aug →
inferno13–40.0215%24 Aug →
cache13–100.0122%21 Aug →
cache13–4-0.0020%21 Aug →
cache7–130.0713%21 Aug →
ancient16–14-0.0016%20 Aug →
dust213–30.0319%20 Aug →
inferno8–130.0312%19 Aug →
dust213–9-0.0119%19 Aug →
ancient6–130.0718%19 Aug →
mirage13–70.0213%19 Aug →
dust213–70.0222%18 Aug →
nuke13–60.058%18 Aug →
inferno13–100.0414%17 Aug →
cache11–13-0.0115%17 Aug →
inferno7–13-0.0115%15 Aug →
cache1–130.0217%14 Aug →
inferno13–60.115%14 Aug →
dust213–70.0217%13 Aug →
cache13–9-0.009%13 Aug →
anubis13–50.0415%13 Aug →
inferno13–3-0.0110%12 Aug →
train13–80.0713%12 Aug →
train13–90.0217%12 Aug →
inferno8–13-0.097%2 Aug →
inferno6–13-0.0318%2 Aug →
inferno7–13-0.0614%2 Aug →
ancient10–130.0510%1 Aug →
ancient11–130.0016%1 Aug →
inferno10–130.0820%1 Aug →
anubis13–60.0611%29 Jul →
inferno13–80.022%29 Jul →
nuke15–15-0.0116%29 Jul →
ancient10–13-0.0310%27 Jul →
cache13–40.0120%27 Jul →
dust213–16-0.0211%26 Jul →
inferno13–9-0.0212%26 Jul →
dust213–7-0.0217%26 Jul →
inferno10–13-0.0311%26 Jul →
mirage15–150.049%26 Jul →
nuke16–140.0210%26 Jul →
cache13–60.0610%25 Jul →
anubis4–13-0.0410%25 Jul →
inferno13–10-0.0410%25 Jul →
inferno10–130.1020%25 Jul →
anubis13–2-0.0412%23 Jul →
anubis5–13-0.0110%23 Jul →
ancient13–11-0.0212%23 Jul →
ancient13–11-0.0317%21 Jul →
nuke13–110.0121%21 Jul →
inferno13–30.048%21 Jul →
nuke13–6-0.0210%21 Jul →
dust213–80.0814%20 Jul →
anubis13–70.0113%20 Jul →
cache8–13-0.0414%20 Jul →
nuke10–130.0713%19 Jul →
cache13–60.058%19 Jul →
inferno13–60.0613%19 Jul →

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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