Joe Mama

Joe Mama — CS2 Stats

76561198135916396[U:1:175650668]Steam profile ↗✓ No bans

433Tracked matches63%Win rate2022Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating12,694Blue band · top ~40.6% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (43 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: 12,694 +8,694 2 Oct – 12 Sept · 28 days played
3,68613,180peak 13,1802 Oct12 Sept
13,306Peak Premier in tracked matches
41Days played since 2025-10-02

Premier CS Rating

  • 486 below peak (13,180)
  • +6,595 over 90 days
  • Next: Purple band at 15,000 — 2,306 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.GGJoe MamaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER12,694 · Blue bandcsdb.gg/stats

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Performance scores

Aim84
Positioning64
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWWLLWLWLLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.3pp headshot accuracy · +62ms 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 673ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 616ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

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 (+2.1 against its own average).

Aim8.4
Utility5.4
Positioning6.4
Opening Duels5.6
Clutch0.0

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

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 568ms 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

Aim8.4
Positioning6.4
Utility5.4
Mechanics8.4
Opening Duels5.2
Win Impact9.4

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time561ms−7ms
first ⅓ avg 568ms → last ⅓ avg 561ms
Headshot accuracy20.7%−1.7%
first ⅓ avg 22.5% → last ⅓ avg 20.7%

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 · 13–2 · dust2, 12 Feb →
75%Best headshot accuracy · 4–13 · inferno, 17 Feb →
406msFastest reaction time · 4–13 · inferno, 17 Feb →
13–0Biggest win · ancient, 12 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 71% over 7nukeWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%0.03
nukeD196–1332%0.04
ancientA1811–761%0.04
infernoC114–736%0.04
mirageS75–271%0.04
anubisA53–260%0.05
cache—43–175%0.02
overpass—42–250%0.04
vertigo—21–150%0.02
office—20–20%0.03
golden—20–20%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
82%Win rate
1.70Avg K/D
89.1ADR
50%Headshot %

Clutches & streaks

14%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis475%1.5317.0
Nuke250%0.9414.5
Vertigo2100%1.4611.5
Dust21100%3.4017.0
Ancient1100%2.5015.0
Inferno1100%1.8524.0

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.

19.3%Headshot accuracy
39.0%Accuracy (enemy spotted)
43.1%Spray accuracy
87.8%Counter-strafing
10.5°Preaim
568msReaction time
50.0%T opening success
52.0%CT opening success
0.54Enemies flashed / flash
8.6%Flash assists
10.86HE damage / grenade
8.95Flashes / 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.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0418%12 Sept →
ancient13–00.0920%12 Sept →
nuke5–130.0614%12 Sept →
dust20–2-0.0350%12 Sept →
dust213–60.0220%12 Sept →
ancient2–13-0.0316%12 Sept →
ancient13–9-0.0210%11 Sept →
dust29–130.0913%11 Sept →
ancient3–130.0117%11 Sept →
ancient13–100.0413%9 Sept →
dust216–140.0714%9 Sept →
mirage13–70.0331%9 Sept →
nuke16–140.0521%4 Sept →
ancient2–13-0.0315%4 Sept →
anubis13–60.0227%21 Aug →
mirage13–2-0.0513%21 Aug →
cache13–20.1215%13 Aug →
dust210–130.0422%13 Aug →
cache13–100.0120%31 Jul →
dust25–130.0018%31 Jul →
cache13–9-0.0555%30 Jul →
inferno13–100.0112%30 Jul →
nuke13–70.1512%11 Jul →
dust210–130.0011%11 Jul →
cache7–130.0023%11 Jul →
ancient13–100.0913%1 Jul →
nuke13–110.1021%1 Jul →
inferno0–40.000%8 Jun →
ancient13–9-0.0223%23 May →
overpass5–2-0.0050%23 May →
inferno4–13-0.0243%23 May →
mirage13–6-0.0222%1 May →
nuke6–130.0214%30 Apr →
ancient13–14-0.0318%17 Apr →
inferno9–130.1541%11 Apr →
ancient15–150.0213%21 Mar →
inferno5–130.0125%21 Mar →
nuke4–130.0127%21 Mar →
nuke13–90.1116%21 Mar →
dust23–130.0223%21 Mar →
dust213–50.0517%14 Mar →
nuke8–130.1130%14 Mar →
ancient13–50.1925%24 Feb →
anubis1–130.0422%24 Feb →
nuke10–130.0419%17 Feb →
dust213–70.0214%17 Feb →
inferno4–130.0275%17 Feb →
dust20–20.000%14 Feb →
anubis13–110.0119%14 Feb →
inferno1–10.1333%14 Feb →
nuke11–130.0529%14 Feb →
ancient13–7-0.0117%13 Feb →
anubis16–120.0617%13 Feb →
dust20–13-0.0543%13 Feb →
ancient13–110.0320%13 Feb →
dust213–20.2018%12 Feb →
dust213–110.0324%11 Feb →
overpass13–90.0428%11 Feb →
dust210–130.0119%11 Feb →
nuke15–150.0127%6 Feb →
nuke9–130.0330%6 Feb →
ancient13–30.1650%6 Feb →
dust21–12-0.070%2 Feb →
inferno13–70.0255%2 Feb →
overpass13–160.0820%2 Feb →
ancient13–70.0744%2 Feb →
dust216–140.0724%1 Feb →
overpass7–130.0267%1 Feb →
dust213–9-0.0043%1 Feb →
nuke2–13-0.0323%1 Feb →
nuke8–13-0.0214%1 Feb →
nuke13–110.0620%19 Dec →
dust213–100.0830%29 Nov →
mirage11–130.1120%29 Nov →
dust213–40.0653%1 Nov →
nuke13–100.0319%1 Nov →
nuke3–13-0.1130%30 Oct →
mirage13–40.1316%25 Oct →
nuke11–13-0.0123%23 Oct →
ancient8–130.0313%18 Oct →
mirage9–130.0024%18 Oct →
dust25–13-0.0219%15 Oct →
dust210–130.0129%15 Oct →
dust28–13-0.0240%10 Oct →
vertigo4–40.0110%7 Oct →
office6–130.0213%7 Oct →
golden5–13-0.0313%7 Oct →
anubis8–130.0910%7 Oct →
dust213–60.0314%6 Oct →
ancient9–130.0224%6 Oct →
mirage13–80.0433%4 Oct →
dust213–40.1221%4 Oct →
golden10–130.0212%3 Oct →
office12–120.0519%3 Oct →
vertigo6–130.0320%3 Oct →
nuke0–20.000%2 Oct →
dust25–13-0.0014%2 Oct →
inferno8–130.0514%2 Oct →
ancient13–100.0416%2 Oct →
inferno13–90.0327%2 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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