MakkaPakka

MakkaPakka — CS2 Stats

76561199211149598[U:1:1250883870]Steam profile ↗✓ No bans

567Tracked matches52%Win rate2022Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating11,788Blue band · top ~45.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

−575Premier CS Rating · 12,363 → 11,788

Rating over time

Premier CS Rating: 11,788 +1,892 25 Aug – 15 Oct · 31 days played
9,62112,694peak 12,69425 Aug15 Oct
12,972Peak Premier in tracked matches
31Days played since 2026-08-25

Premier CS Rating

  • 906 below peak (12,694)
  • +266 over 30 days · steady
  • Next: Purple band at 15,000 — 3,212 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.

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CSDB.GGMakkaPakkaPREMIER11,788 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning58
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLLWWWWLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −1.4pp headshot accuracy · +6ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 592ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 574ms

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 (+1.3 against its own average).

Aim7.5
Utility6.3
Positioning5.8
Opening Duels2.9

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 60% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 574ms 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

Aim7.5
Positioning5.8
Utility6.3
Mechanics7.4
Opening Duels5.4
Win Impact5.6

Composite 6.2/10 (Solid), 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+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time569ms−3ms
first ⅓ avg 572ms → last ⅓ avg 569ms
Headshot accuracy16.0%+2.5%
first ⅓ avg 13.6% → last ⅓ avg 16.0%

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

0.13Best match rating · 13–1 · anubis, 4 Oct →
28%Best headshot accuracy · 13–8 · nuke, 1 Oct →
406msFastest reaction time · 14–16 · inferno, 25 Aug →
13–1Biggest win · mirage, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 67% over 27infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2718–967%0.00
dust2A1810–856%0.00
nukeS1711–665%0.03
anubisB137–654%0.02
ancientD123–925%0.01
infernoD71–614%-0.03
cacheB63–350%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

15.8%Headshot accuracy
37.6%Accuracy (enemy spotted)
33.8%Spray accuracy
83.4%Counter-strafing
8.8°Preaim
574msReaction time
59.6%T opening success
43.5%CT opening success
0.65Enemies flashed / flash
8.6%Flash assists
10.32HE damage / grenade
8.57Flashes / match

Recommended for you

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0216%15 Oct →
dust27–13-0.0112%15 Oct →
mirage13–10.0511%11 Oct →
nuke13–80.0519%11 Oct →
dust213–30.0325%11 Oct →
dust216–140.0413%10 Oct →
cache4–13-0.0223%8 Oct →
nuke13–20.0811%7 Oct →
dust213–50.0813%7 Oct →
ancient8–13-0.0410%6 Oct →
nuke13–100.0623%5 Oct →
mirage13–80.0420%5 Oct →
dust213–70.0620%5 Oct →
dust213–100.087%5 Oct →
ancient5–13-0.0621%5 Oct →
nuke7–130.0115%4 Oct →
ancient13–16-0.0310%4 Oct →
dust24–13-0.0121%4 Oct →
ancient13–100.0619%4 Oct →
anubis13–10.1310%4 Oct →
nuke13–50.0916%4 Oct →
nuke15–150.0417%4 Oct →
mirage11–13-0.0413%4 Oct →
mirage13–50.0514%3 Oct →
anubis13–110.0525%3 Oct →
inferno11–13-0.0611%3 Oct →
mirage5–12-0.0122%3 Oct →
nuke11–130.0314%3 Oct →
anubis3–13-0.048%3 Oct →
mirage4–13-0.0120%3 Oct →
anubis10–13-0.0511%3 Oct →
anubis5–13-0.0215%2 Oct →
anubis13–100.0825%2 Oct →
anubis13–110.0816%1 Oct →
nuke13–8-0.0128%1 Oct →
mirage13–90.0022%30 Sept →
ancient7–13-0.0617%27 Sept →
anubis13–110.099%27 Sept →
mirage1–13-0.106%27 Sept →
nuke13–50.058%27 Sept →
inferno13–90.0013%27 Sept →
anubis10–130.098%26 Sept →
ancient11–130.0315%26 Sept →
inferno1–13-0.096%26 Sept →
mirage13–70.038%26 Sept →
nuke13–60.037%26 Sept →
dust213–70.0514%26 Sept →
cache9–13-0.0128%24 Sept →
mirage11–20.1217%24 Sept →
ancient5–130.0512%24 Sept →
ancient9–13-0.0112%21 Sept →
dust213–6-0.0614%20 Sept →
dust28–130.0022%20 Sept →
mirage16–120.0517%20 Sept →
mirage6–13-0.049%19 Sept →
inferno7–130.0617%19 Sept →
dust213–110.0015%19 Sept →
mirage13–80.0615%19 Sept →
mirage13–70.0410%19 Sept →
nuke14–16-0.0117%19 Sept →
anubis11–13-0.0612%18 Sept →
mirage13–6-0.0117%18 Sept →
mirage5–13-0.0822%13 Sept →
mirage8–130.0117%13 Sept →
anubis15–150.0210%13 Sept →
inferno4–13-0.1122%13 Sept →
dust28–130.0215%11 Sept →
anubis13–9-0.0614%11 Sept →
dust213–16-0.0815%5 Sept →
nuke13–5-0.0314%5 Sept →
mirage13–40.0421%5 Sept →
ancient13–110.1221%5 Sept →
nuke10–13-0.0112%4 Sept →
dust213–11-0.1019%4 Sept →
mirage13–90.0120%4 Sept →
nuke16–130.0415%4 Sept →
mirage13–30.0718%3 Sept →
mirage9–13-0.092%31 Aug →
ancient11–130.0115%30 Aug →
mirage13–6-0.0414%30 Aug →
nuke13–50.008%30 Aug →
dust25–13-0.0518%29 Aug →
mirage13–9-0.0419%29 Aug →
cache13–70.0413%29 Aug →
ancient16–140.0512%29 Aug →
anubis13–11-0.005%29 Aug →
ancient12–160.0217%28 Aug →
nuke10–13-0.0510%28 Aug →
dust213–90.0210%28 Aug →
cache16–140.0613%28 Aug →
mirage13–5-0.069%28 Aug →
cache7–13-0.0615%28 Aug →
dust211–130.0216%27 Aug →
mirage13–70.0610%27 Aug →
cache13–60.079%27 Aug →
inferno2–13-0.0317%27 Aug →
mirage13–100.028%26 Aug →
dust210–13-0.0412%26 Aug →
nuke13–40.0915%26 Aug →
inferno14–160.0212%25 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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