Makanja

Makanja — CS2 Stats

LC76561198294635961[U:1:334370233]Steam profile ↗✓ No bans

1,764Tracked matches40%Win rate2020Tracked since
CSDB Rating4.6 DevelopingSupport
FaceitLevel 8 · 1,550 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,550 → 1,550
+5Tracked matches · now 1,764
0.0ppWin rate · 40.0% → 40.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 83 days played since 7 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,639 -3,208 7 Jan6 Jul · 8 days played
13,62318,424peak 18,4247 Jan6 Jul
Faceit ELO: 1,550 +0 2 Sept14 Sept · 3 observations
1,5501,550peak 1,5502 Sept14 Sept
18,424Peak Premier in tracked matches
1,550Highest Faceit ELO seen on CSDB
83Days played since 2026-01-07

Faceit ELO

  • At peak — 1,550
  • Next: Level 9 at 1,751 201 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-02
  • Level 7 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGMakanjaFACEITLevel 8 · 1,550 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,550csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim62
Positioning51
Utility65

0–100 skill scores via Leetify.

Recent form

COLD44533Last 10044%Win rateLLWLLLLLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.8pp headshot accuracy · +7ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 509ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 580ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 576ms

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: SupportUtility contribution stands above the rest of this profile (+2.3 against its own average).

Aim6.2
Utility6.5
Positioning5.1
Opening Duels1.6
Clutch3.6

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

Twistzz

Plays most like Twistzz 79% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 565ms 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

Aim6.2
Positioning5.1
Utility6.5
Mechanics5.3
Opening Duels0.2
Win Impact1.7

Composite 4.6/10 (Developing), 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 rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time585ms−14ms
first ⅓ avg 599ms → last ⅓ avg 585ms
Headshot accuracy20.5%+6.1%
first ⅓ avg 14.4% → last ⅓ avg 20.5%

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 · 13–5 · cache, 8 Jul
50%Best headshot accuracy · 13–1 · anubis, 3 Jul
375msFastest reaction time · 13–10 · ancient, 16 May
13–1Biggest win · anubis, 3 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
79In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 69% over 16anubisWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
ancientC27121544%-0.00
anubisD1751229%-0.01
mirageS1611569%0.01
dust2C146843%-0.02
infernoC135838%-0.04
cacheB63350%0.03
nuke21150%0.02
poseidon21150%-0.00
train1010%-0.01
stronghold1010%-0.08
alpine1010%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,150Matches
50%Win rate
0.94Avg K/D
73.8ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage51951%0.9314.0
Ancient31351%0.9215.3
Anubis26557%0.9614.2
Inferno24753%0.9314.3
Dust221746%0.9014.4
Nuke7044%0.8412.9
Vertigo2442%0.8615.0
Overpass2348%0.9014.3

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.

19.5%Headshot accuracy
32.9%Accuracy (enemy spotted)
32.4%Spray accuracy
73.7%Counter-strafing
10.2°Preaim
565msReaction time
28.0%T opening success
31.8%CT opening success
0.58Enemies flashed / flash
7.4%Flash assists
8.74HE damage / grenade
11.68Flashes / 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 27.9906% — 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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0223%9 Sept
dust25–130.0424%6 Sept
mirage13–80.0318%3 Sept
inferno7–13-0.0410%3 Sept
mirage6–13-0.0423%2 Sept
inferno9–13-0.0921%30 Aug
ancient17–190.0526%29 Aug
ancient9–13-0.0517%25 Aug
ancient6–13-0.0711%21 Aug
cache13–11-0.0117%20 Aug
dust25–13-0.0033%17 Aug
ancient8–13-0.0524%16 Aug
inferno11–13-0.0216%14 Aug
anubis13–11-0.0113%12 Aug
ancient17–190.007%4 Aug
mirage13–110.0024%28 Jul
ancient13–100.1014%27 Jul
dust21–13-0.0824%24 Jul
ancient13–20.0022%18 Jul
inferno7–13-0.0320%17 Jul
mirage13–30.0620%15 Jul
anubis13–50.0221%12 Jul
inferno11–13-0.0418%11 Jul
ancient14–16-0.0117%9 Jul
cache13–50.1227%8 Jul
nuke11–130.0115%7 Jul
cache10–130.0233%7 Jul
mirage16–14-0.0218%6 Jul
dust213–100.0123%6 Jul
dust213–100.0218%3 Jul
anubis13–10.0450%3 Jul
ancient13–80.0019%29 Jun
anubis0–13-0.0810%28 Jun
mirage13–50.0621%28 Jun
anubis13–160.0414%27 Jun
mirage16–190.0617%25 Jun
ancient2–130.0210%14 Jun
cache13–80.0113%13 Jun
anubis10–130.0117%1 Jun
mirage13–50.0717%26 May
mirage15–150.0017%20 May
ancient8–130.0222%17 May
ancient13–10-0.0114%16 May
mirage13–10.0317%14 May
inferno8–8-0.0532%14 May
ancient16–12-0.0213%13 May
poseidon5–9-0.0450%12 May
inferno9–7-0.1014%11 May
anubis9–13-0.099%8 May
cache13–16-0.0123%4 May
cache8–130.0325%29 Apr
anubis6–13-0.0215%27 Apr
inferno13–8-0.0720%18 Apr
anubis7–13-0.0131%14 Apr
inferno13–70.0913%12 Apr
dust213–5-0.037%8 Apr
mirage16–12-0.0015%8 Apr
mirage13–100.007%8 Apr
inferno11–130.0416%7 Apr
anubis16–12-0.0115%2 Apr
inferno13–7-0.0411%2 Apr
anubis9–130.0211%1 Apr
nuke16–120.0321%30 Mar
mirage13–10-0.0027%30 Mar
mirage13–11-0.0412%28 Mar
ancient13–5-0.0017%25 Mar
ancient6–13-0.098%24 Mar
anubis2–13-0.036%20 Mar
anubis10–13-0.0512%19 Mar
poseidon9–50.0316%18 Mar
mirage10–13-0.0131%12 Mar
ancient8–130.0123%8 Mar
anubis2–130.0413%5 Mar
anubis4–13-0.0617%3 Mar
anubis13–4-0.016%1 Mar
train6–13-0.0111%27 Feb
dust26–13-0.0418%20 Feb
dust213–3-0.0311%19 Feb
inferno4–13-0.1415%17 Feb
ancient13–90.0316%11 Feb
dust28–13-0.0212%11 Feb
ancient7–13-0.047%4 Feb
ancient11–130.0021%30 Jan
dust213–90.0013%30 Jan
ancient13–20.019%29 Jan
ancient13–40.0221%27 Jan
dust210–13-0.039%26 Jan
ancient9–130.0616%24 Jan
dust25–13-0.0310%22 Jan
stronghold4–13-0.0815%22 Jan
alpine8–13-0.048%21 Jan
ancient13–50.0117%16 Jan
ancient11–13-0.0512%15 Jan
inferno28–260.0010%14 Jan
dust24–13-0.0214%8 Jan
mirage8–13-0.0629%8 Jan
ancient15–15-0.0011%8 Jan
dust213–10-0.0419%7 Jan
ancient7–0-0.0413%7 Jan
ancient13–100.0214%7 Jan

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 →