Jamo

Jamo — CS2 Stats

FI76561198012759891[U:1:52494163]Steam profile ↗✓ No bans

1,357Tracked matches62%Win rate2023Tracked since
CSDB Rating7.6 StrongPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

+24Tracked matches · now 1,357
0.0ppWin rate · 62.1% → 62.1%

Rating over time

Premier CS Rating: 21,604 -887 13 May – 3 Jul · 5 days played
21,60422,645peak 22,64513 May3 Jul
22,961Peak Premier in tracked matches
38Days played since 2026-05-13

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

Share this profile

CSDB.GGJamoFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim87
Positioning71
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateWWLWWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.5pp headshot accuracy · +36ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 531ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 523ms

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 (+1.5 against its own average).

Aim8.7
Utility6.1
Positioning7.1
Opening Duels5.9
Clutch3.4

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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: opening-duel success, positioning 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
Positioning7.1
Utility6.1
Mechanics6.7
Opening Duels7.2
Win Impact9.0

Composite 7.6/10 (Strong), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time523ms−57ms
first ⅓ avg 580ms → last ⅓ avg 523ms
Headshot accuracy19.8%+1.5%
first ⅓ avg 18.3% → last ⅓ avg 19.8%

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 · 13–8 · inferno, 11 Sept →
56%Best headshot accuracy · 13–4 · dust2, 26 Aug →
391msFastest reaction time · 13–11 · inferno, 26 Aug →
13–0Biggest win · dust2, 19 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 73% over 11nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS2215–768%0.01
dust2C177–1041%-0.00
mirageB158–753%-0.01
cacheS118–373%0.00
anubisD103–730%0.00
ancientB84–450%-0.00
nukeD72–529%-0.02
overpassA53–260%-0.03
vertigo—32–167%-0.02
train—21–150%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

571Matches
54%Win rate
1.08Avg K/D
77.6ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2050%1.2915.6
Inferno2075%1.1415.3
Mirage1958%0.9114.3
Anubis1553%1.0815.8
Dust21547%0.9814.4
Nuke1377%0.9815.2
Cache4100%1.3217.3
Overpass20%0.9215.5

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.

18.0%Headshot accuracy
39.2%Accuracy (enemy spotted)
42.4%Spray accuracy
80.2%Counter-strafing
8.3°Preaim
518msReaction time
57.9%T opening success
59.8%CT opening success
0.61Enemies flashed / flash
5.4%Flash assists
10.85HE damage / grenade
9.60Flashes / 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–14-0.0513%1 Nov →
inferno13–100.0414%1 Nov →
dust215–19-0.0513%29 Oct →
cache13–4-0.0221%26 Oct →
inferno13–10-0.046%26 Oct →
mirage9–130.0312%25 Oct →
dust28–13-0.0232%25 Oct →
inferno13–80.0212%19 Oct →
mirage13–100.0317%7 Oct →
mirage8–130.0137%7 Oct →
inferno13–80.049%5 Oct →
ancient16–120.0618%4 Oct →
ancient10–13-0.0424%4 Oct →
nuke3–13-0.0240%3 Oct →
mirage13–10-0.0519%28 Sept →
cache13–110.0318%28 Sept →
vertigo13–40.048%19 Sept →
inferno13–2-0.0018%19 Sept →
ancient13–11-0.0321%18 Sept →
dust27–13-0.017%18 Sept →
mirage16–140.0412%18 Sept →
anubis3–13-0.0826%18 Sept →
inferno9–13-0.0428%11 Sept →
nuke10–130.0013%11 Sept →
cache13–100.0521%11 Sept →
inferno13–70.0320%11 Sept →
inferno13–80.1212%11 Sept →
inferno12–12-0.0527%9 Sept →
dust210–13-0.0223%9 Sept →
ancient13–9-0.0111%9 Sept →
mirage3–13-0.1225%4 Sept →
nuke13–60.0442%4 Sept →
inferno13–110.0135%26 Aug →
mirage6–13-0.0816%26 Aug →
dust213–40.0456%26 Aug →
inferno13–5-0.0313%25 Aug →
dust213–20.1144%25 Aug →
ancient13–5-0.0218%25 Aug →
mirage14–160.038%25 Aug →
inferno10–130.0216%20 Aug →
inferno13–30.0117%20 Aug →
ancient8–130.0115%20 Aug →
cache13–80.0124%20 Aug →
anubis13–70.0020%17 Aug →
overpass13–10-0.0418%17 Aug →
cache1–13-0.0644%7 Aug →
dust213–11-0.0222%7 Aug →
inferno13–50.0211%7 Aug →
ancient8–13-0.029%5 Aug →
dust213–11-0.048%5 Aug →
anubis11–13-0.058%3 Aug →
mirage15–15-0.0322%3 Aug →
inferno15–150.0414%3 Aug →
inferno6–13-0.0920%30 Jul →
nuke13–100.0016%28 Jul →
anubis7–13-0.0717%28 Jul →
mirage13–30.0820%28 Jul →
dust25–13-0.130%28 Jul →
cache13–7-0.0138%28 Jul →
nuke7–13-0.0722%26 Jul →
train6–13-0.0124%26 Jul →
dust22–13-0.0613%26 Jul →
mirage13–40.0027%23 Jul →
overpass12–12-0.0232%23 Jul →
train13–30.0125%23 Jul →
anubis7–130.0814%23 Jul →
vertigo3–13-0.1033%21 Jul →
cache13–100.0312%21 Jul →
mirage8–13-0.0620%21 Jul →
inferno12–120.0826%21 Jul →
dust212–12-0.0316%21 Jul →
nuke10–13-0.0610%21 Jul →
dust29–13-0.0511%19 Jul →
dust213–00.000%19 Jul →
inferno13–6-0.0418%19 Jul →
mirage13–100.0417%19 Jul →
anubis13–20.1013%19 Jul →
ancient9–130.0315%3 Jul →
anubis5–130.0620%3 Jul →
inferno13–60.0128%3 Jul →
anubis5–13-0.0422%3 Jul →
mirage13–70.0431%28 Jun →
dust211–130.0220%28 Jun →
cache11–130.0223%28 Jun →
overpass1–13-0.0611%28 Jun →
inferno13–80.0220%23 Jun →
cache13–2-0.0522%23 Jun →
dust212–120.0413%23 Jun →
overpass13–100.0125%22 Jun →
inferno12–160.0313%26 May →
overpass13–11-0.0416%26 May →
cache13–60.0226%25 May →
dust213–60.0435%25 May →
anubis13–40.0612%20 May →
nuke14–16-0.0314%20 May →
inferno13–10-0.0319%18 May →
vertigo13–20.0013%14 May →
dust213–60.0929%14 May →
cache11–130.0120%14 May →
anubis11–13-0.0515%13 May →

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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