McJacare

McJacare — CS2 Stats

PT76561198313741106[U:1:353475378]Steam profile ↗✓ No bans

3,808Tracked matches57%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 10 · 3,120 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,120 → 3,120
+8Tracked matches · now 3,808
+6.7ppWin rate · 50.0% → 56.7%

Rating over time

Premier CS Rating: 18,586 +0 31 Aug – 22 Sept · 4 observations
18,58618,586peak 18,58631 Aug22 Sept
Faceit ELO: 3,120 +0 31 Aug – 22 Sept · 4 observations
3,1203,120peak 3,12031 Aug22 Sept
18,586Peak Premier on CSDB
3,120Highest Faceit ELO seen on CSDB
80Days played since 2025-03-25

Faceit ELO

  • At peak — 3,120
  • Next: 3,500 ELO at 3,500 — 380 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-31
  • 2,500 ELO first seen 2026-08-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGMcJacareFACEITLevel 10 · 3,120 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,120csdb.gg/stats

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Performance scores

Aim68
Positioning56
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWWLWWLWLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −0.5pp headshot accuracy · −35ms 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 533ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 529ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 547ms

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 (+1.1 against its own average).

Aim6.8
Utility6.1
Positioning5.6
Opening Duels4.8
Clutch3.4

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 60% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning5.6
Utility6.1
Mechanics5.6
Opening Duels4.0
Win Impact7.2

Composite 6.3/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time550ms−50ms
first ⅓ avg 600ms → last ⅓ avg 550ms
Headshot accuracy17.8%−1.3%
first ⅓ avg 19.0% → last ⅓ avg 17.8%

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

0.10Best match rating · 13–4 · mirage, 11 Oct →
40%Best headshot accuracy · 13–6 · mirage, 1 Apr →
391msFastest reaction time · 13–7 · ancient, 4 Jul →
13–2Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 71% over 14anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
ancientC2712–1544%-0.02
dust2B1910–953%-0.00
mirageA1710–759%-0.00
nukeS1410–471%0.02
infernoA95–456%-0.00
anubisC73–443%-0.03
train—42–250%-0.01
cache—22–0100%0.02
overpass—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,574Matches
52%Win rate
1.05Avg K/D
78.0ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient88055%1.0715.8
Dust264650%0.9814.9
Mirage54048%1.0215.2
Inferno42658%1.0615.4
Anubis38247%0.9615.0
Nuke30552%1.0115.1
Overpass9340%0.9515.2
Vertigo8752%0.9615.7

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.

17.9%Headshot accuracy
32.8%Accuracy (enemy spotted)
37.1%Spray accuracy
75.4%Counter-strafing
9.6°Preaim
549msReaction time
32.6%T opening success
59.6%CT opening success
0.54Enemies flashed / flash
9.9%Flash assists
9.08HE damage / grenade
9.77Flashes / 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. 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 32.5631% — below the 40% mark we flag

Spend your practice time on Anubis

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–130.0024%11 Oct →
mirage13–40.108%11 Oct →
cache16–14-0.0120%5 Oct →
inferno6–13-0.0116%5 Oct →
dust213–110.0414%2 Oct →
mirage13–100.0217%2 Oct →
inferno7–13-0.0223%30 Sept →
nuke13–60.0414%28 Sept →
ancient5–13-0.027%14 Jun →
anubis11–13-0.0216%31 May →
cache13–60.0516%10 May →
ancient13–6-0.0113%8 May →
nuke13–90.0635%5 May →
dust213–8-0.0321%3 May →
nuke16–120.0112%27 Apr →
ancient13–5-0.0113%29 Mar →
ancient8–13-0.0414%23 Mar →
anubis11–13-0.0811%23 Mar →
ancient14–16-0.0914%1 Mar →
mirage13–110.0416%19 Feb →
anubis13–160.0126%18 Feb →
nuke9–130.0522%16 Feb →
dust213–5-0.0320%15 Feb →
nuke13–10-0.0227%9 Feb →
anubis13–6-0.0311%4 Feb →
dust25–13-0.0022%2 Feb →
mirage7–13-0.0610%19 Jan →
anubis13–4-0.0426%18 Jan →
nuke9–130.0615%14 Jan →
nuke13–100.0529%9 Jan →
inferno13–80.0621%6 Jan →
train13–10-0.0516%5 Jan →
ancient6–13-0.0718%3 Jan →
nuke5–13-0.0820%2 Jan →
dust216–140.0125%2 Jan →
ancient9–13-0.0023%2 Jan →
ancient6–13-0.0116%20 Dec →
train11–130.0721%19 Dec →
mirage13–7-0.0320%12 Dec →
ancient9–13-0.0119%11 Dec →
inferno13–100.0021%25 Nov →
inferno13–40.0218%9 Oct →
mirage13–2-0.0112%3 Oct →
ancient13–7-0.0024%18 Sept →
nuke13–11-0.0416%13 Sept →
mirage13–3-0.0230%10 Sept →
ancient3–13-0.0918%2 Sept →
dust213–5-0.0217%2 Sept →
mirage10–13-0.0112%2 Sept →
dust28–130.0022%24 Aug →
ancient11–130.0019%24 Aug →
ancient13–110.0221%20 Aug →
ancient16–14-0.0516%6 Aug →
dust210–13-0.0029%2 Aug →
ancient4–13-0.0620%25 Jul →
overpass11–13-0.0318%23 Jul →
ancient10–13-0.0519%16 Jul →
mirage16–14-0.0015%16 Jul →
ancient16–140.0622%16 Jul →
train7–13-0.0412%15 Jul →
dust213–9-0.0422%13 Jul →
ancient13–70.0923%4 Jul →
ancient5–13-0.0422%4 Jul →
dust24–130.0023%27 Jun →
dust213–80.0326%26 Jun →
inferno13–8-0.0119%25 Jun →
ancient13–50.0433%23 Jun →
inferno2–13-0.0418%21 Jun →
dust28–130.0136%18 Jun →
ancient13–110.0129%17 Jun →
dust25–13-0.0631%13 Jun →
mirage5–13-0.0820%12 Jun →
mirage11–13-0.0116%1 Jun →
nuke9–13-0.0028%1 Jun →
train13–6-0.0314%30 May →
mirage13–70.0116%22 May →
dust211–13-0.0314%22 May →
mirage13–90.0312%22 May →
nuke13–50.0311%21 May →
mirage9–13-0.0313%20 May →
mirage11–130.0020%20 May →
dust213–70.029%5 May →
ancient13–10-0.0421%1 May →
anubis13–40.0220%30 Apr →
dust210–130.0227%29 Apr →
dust213–40.0017%25 Apr →
ancient9–13-0.0613%23 Apr →
nuke13–110.0013%17 Apr →
nuke13–90.0624%16 Apr →
nuke13–90.0215%2 Apr →
mirage13–60.0440%1 Apr →
ancient11–130.0325%31 Mar →
ancient13–8-0.0019%30 Mar →
dust213–40.0620%30 Mar →
ancient13–60.0011%30 Mar →
mirage7–13-0.0126%28 Mar →
dust26–13-0.0219%28 Mar →
ancient9–13-0.096%28 Mar →
inferno13–6-0.0218%27 Mar →
anubis2–13-0.088%25 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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