JAMU

JAMU — CS2 Stats

FI76561198646611586[U:1:686345858]Steam profile ↗✓ No bans

188Tracked matches41%Win rate2026Tracked since
CSDB Rating3.4 LearningPositional Player
Premier CS Rating9,175Light Blue band · top ~58.8% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+249Premier CS Rating · 8,926 → 9,175

Rating over time

Premier CS Rating: 9,175 +2,240 25 Oct – 5 Nov · 11 days played
6,93510,940peak 10,94025 Oct5 Nov
11,505Peak Premier in tracked matches
11Days played since 2026-10-25

Premier CS Rating

  • 1,765 below peak (10,940)
  • Next: Blue band at 10,000 — 825 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGJAMUPREMIER9,175 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning42
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLLWWLWTWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −4.3pp headshot accuracy · −37ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 589ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 580ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

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).

Aim4.1
Utility2.3
Positioning4.2
Opening Duels1.7

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

m0NESY

Plays most like m0NESY 85% 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. 600ms 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

Aim4.1
Positioning4.2
Utility2.3
Mechanics5.2
Opening Duels3.6
Win Impact2.1

Composite 3.4/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time592ms−43ms
first ⅓ avg 635ms → last ⅓ avg 592ms
Headshot accuracy11.9%−3.1%
first ⅓ avg 15.0% → last ⅓ avg 11.9%

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

0.13Best match rating · 7–9 · inferno, 3 Nov →
35%Best headshot accuracy · 4–9 · inferno, 25 Oct →
391msFastest reaction time · 9–6 · inferno, 31 Oct →
13–0Biggest win · mirage, 29 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
4–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 60% over 20cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2715–1256%-0.02
infernoA2012–860%-0.02
dust2C177–1041%-0.04
mirageA169–756%-0.03
anubisC114–736%0.01
cacheD62–433%-0.06
ancient—22–0100%0.00
office—10–10%0.06

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.3%Headshot accuracy
29.7%Accuracy (enemy spotted)
30.1%Spray accuracy
73.3%Counter-strafing
10.4°Preaim
600msReaction time
51.5%T opening success
37.7%CT opening success
0.32Enemies flashed / flash
6.7%Flash assists
9.74HE damage / grenade
1.30Flashes / 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 12.292% — 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 0.319 — 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 37.6952% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.053%5 Nov →
dust24–13-0.130%4 Nov →
inferno13–9-0.0215%4 Nov →
nuke13–8-0.0117%4 Nov →
mirage9–130.0317%4 Nov →
nuke13–100.0713%4 Nov →
inferno8–8-0.127%4 Nov →
dust213–30.0211%4 Nov →
inferno7–90.1315%3 Nov →
dust210–13-0.0912%3 Nov →
nuke9–13-0.0626%3 Nov →
mirage3–13-0.0513%3 Nov →
anubis13–70.0611%3 Nov →
inferno13–9-0.0116%3 Nov →
ancient13–8-0.029%3 Nov →
cache11–13-0.0216%1 Nov →
dust210–13-0.0217%1 Nov →
nuke9–12-0.0710%1 Nov →
mirage13–1-0.0124%1 Nov →
dust213–50.0610%1 Nov →
nuke14–16-0.0412%1 Nov →
dust21–13-0.0816%1 Nov →
nuke11–13-0.0214%1 Nov →
nuke7–13-0.056%1 Nov →
nuke15–15-0.0410%1 Nov →
anubis11–130.009%1 Nov →
inferno13–7-0.038%1 Nov →
anubis5–13-0.016%1 Nov →
nuke13–70.016%1 Nov →
inferno6–9-0.129%1 Nov →
dust211–130.0214%31 Oct →
inferno2–9-0.2214%31 Oct →
anubis9–13-0.028%31 Oct →
nuke13–8-0.0119%31 Oct →
nuke13–90.0318%31 Oct →
dust213–5-0.0116%31 Oct →
inferno9–5-0.0422%31 Oct →
inferno9–60.0223%31 Oct →
dust213–10-0.0223%31 Oct →
mirage6–13-0.056%31 Oct →
nuke7–13-0.059%31 Oct →
nuke13–6-0.0114%30 Oct →
inferno13–5-0.0322%30 Oct →
dust27–13-0.104%30 Oct →
inferno9–50.0428%30 Oct →
nuke2–9-0.1323%30 Oct →
inferno9–00.1220%30 Oct →
dust29–13-0.0717%30 Oct →
nuke13–80.0516%30 Oct →
nuke13–8-0.0213%30 Oct →
nuke13–10.079%30 Oct →
mirage13–10-0.059%30 Oct →
cache2–1-0.170%30 Oct →
mirage13–6-0.0310%30 Oct →
ancient13–20.039%30 Oct →
anubis15–150.1014%30 Oct →
inferno13–2-0.0116%30 Oct →
dust20–10-0.0126%30 Oct →
mirage8–13-0.0614%30 Oct →
mirage13–8-0.0713%29 Oct →
anubis9–13-0.0815%29 Oct →
cache2–13-0.0210%29 Oct →
anubis5–13-0.0214%29 Oct →
cache13–6-0.0123%29 Oct →
dust213–30.0220%29 Oct →
inferno9–130.037%29 Oct →
nuke16–13-0.058%29 Oct →
inferno13–10.0310%29 Oct →
mirage13–00.0330%29 Oct →
office7–130.069%28 Oct →
mirage13–6-0.0922%28 Oct →
nuke13–7-0.0311%28 Oct →
mirage13–3-0.1113%28 Oct →
nuke5–9-0.068%28 Oct →
dust24–13-0.0722%28 Oct →
inferno15–150.0116%27 Oct →
nuke10–13-0.0511%27 Oct →
mirage13–30.1010%27 Oct →
nuke13–50.0213%27 Oct →
mirage13–9-0.0217%27 Oct →
nuke12–16-0.0314%27 Oct →
inferno13–11-0.0224%26 Oct →
anubis13–30.0615%26 Oct →
mirage10–13-0.0612%26 Oct →
anubis13–4-0.036%26 Oct →
anubis6–13-0.0714%26 Oct →
anubis13–100.0724%26 Oct →
nuke13–11-0.0218%26 Oct →
nuke11–130.1015%25 Oct →
nuke13–90.0416%25 Oct →
cache10–13-0.0616%25 Oct →
dust213–11-0.0210%25 Oct →
mirage7–13-0.047%25 Oct →
inferno2–5-0.0622%25 Oct →
dust213–3-0.0621%25 Oct →
mirage0–8-0.010%25 Oct →
inferno13–10-0.0412%25 Oct →
inferno4–9-0.0835%25 Oct →
nuke13–7-0.0611%25 Oct →
cache5–13-0.0714%25 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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