Makaveli

Makaveli — CS2 Stats

GR76561198017355320[U:1:57089592]Steam profile ↗✓ No bans

3,055Tracked matches47%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
Premier CS Rating21,358Top 50% of 215,248 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#66067 of 261501 tracked
FaceitLevel 9 · 1,841 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (17 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: 21,358 +1,476 29 May – 28 Oct · 27 days played
19,03221,553peak 21,55329 May28 Oct
Faceit ELO: 1,841 +0 3 Sept – 25 Sept · 4 observations
1,8411,841peak 1,8413 Sept25 Sept
21,836Peak Premier in tracked matches
1,841Highest Faceit ELO seen on CSDB
56Days played since 2026-05-29

Faceit ELO

  • At peak — 1,841
  • Next: Level 10 at 2,001 — 160 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-03
  • Level 8 first seen 2026-09-03

Premier CS Rating

  • 195 below peak (21,553)
  • +617 over 30 days · improving
  • +1,041 over 90 days
  • Next: Red band at 25,000 — 3,642 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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.GGMakaveliFACEITLevel 9 · 1,841 ELOSTANDINGTop 20.7% of rankedPREMIER21,358 · Pink bandPEAK ELO1,841csdb.gg/stats

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Performance scores

Aim92
Positioning58
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLLWWLWWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −1.8pp headshot accuracy · +19ms reaction

Win rate up 40pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 572ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 544ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 534ms

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 (+1.2 against its own average).

Aim9.2
Utility4.9
Positioning5.8
Opening Duels4.2
Clutch3.4

Sharp aimer

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 85% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Aim9.2
Positioning5.8
Utility4.9
Mechanics8.0
Opening Duels4.0
Win Impact3.9

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time580ms−53ms
first ⅓ avg 634ms → last ⅓ avg 580ms
Headshot accuracy23.2%+3.7%
first ⅓ avg 19.5% → last ⅓ avg 23.2%

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

0.16Best match rating · 13–4 · ancient, 28 Oct →
67%Best headshot accuracy · 8–0 · mirage, 7 Jun →
414msFastest reaction time · 13–3 · dust2, 22 Sept →
13–1Biggest win · ancient, 10 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 67% over 6mirageWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2917–1259%0.01
ancientB2312–1152%-0.01
cacheC125–742%-0.00
mirageC114–736%-0.01
nukeC83–538%-0.01
anubisB84–450%-0.01
infernoS64–267%0.02
overpass—21–150%0.01
train—11–0100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,718Matches
51%Win rate
1.09Avg K/D
73.1ADR
37%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust230850%1.0915.5
Ancient24650%1.0615.3
Mirage17450%1.0315.0
Anubis17054%1.0614.6
Inferno12944%1.1015.3
Nuke5749%1.1215.9
Cache4760%1.1014.5
Train1856%1.1316.8

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.

23.5%Headshot accuracy
41.9%Accuracy (enemy spotted)
42.4%Spray accuracy
85.9%Counter-strafing
8.6°Preaim
568msReaction time
49.4%T opening success
42.7%CT opening success
0.61Enemies flashed / flash
4.7%Flash assists
7.39HE damage / grenade
8.31Flashes / match

Recommended for you

Spend your practice time on Mirage

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–130.0518%13 Nov →
ancient7–13-0.0616%29 Oct →
ancient13–40.1624%28 Oct →
dust213–7-0.0230%22 Oct →
mirage8–13-0.0318%8 Oct →
ancient16–13-0.0025%8 Oct →
train13–80.0219%8 Oct →
dust26–13-0.0424%6 Oct →
nuke13–70.0823%5 Oct →
dust216–120.1216%28 Sept →
dust213–30.1338%22 Sept →
ancient10–13-0.0223%14 Sept →
mirage10–130.0038%13 Sept →
ancient8–13-0.0625%13 Sept →
mirage11–130.0428%11 Sept →
ancient13–10.0922%10 Sept →
cache3–13-0.0721%2 Sept →
ancient9–130.0117%1 Sept →
nuke8–130.0214%27 Aug →
cache4–13-0.074%21 Aug →
cache9–13-0.0218%5 Aug →
dust213–20.0621%5 Aug →
ancient13–20.0933%5 Aug →
ancient9–13-0.0324%4 Aug →
inferno13–100.0148%4 Aug →
dust213–5-0.0319%4 Aug →
cache11–13-0.0316%3 Aug →
inferno13–110.0237%3 Aug →
dust21–13-0.0419%2 Aug →
ancient13–100.0425%25 Jul →
dust28–13-0.0419%25 Jul →
ancient9–13-0.1126%24 Jul →
dust213–60.0721%24 Jul →
cache16–14-0.0134%23 Jul →
dust213–60.1238%23 Jul →
cache13–80.0636%22 Jul →
cache13–40.0325%22 Jul →
dust27–130.0026%20 Jul →
ancient13–8-0.0116%20 Jul →
dust213–5-0.0215%20 Jul →
ancient6–13-0.0417%20 Jul →
mirage11–13-0.0520%19 Jul →
dust213–11-0.0118%19 Jul →
nuke13–2-0.0643%19 Jul →
inferno4–90.0515%18 Jul →
dust213–80.0319%17 Jul →
cache13–50.0036%17 Jul →
cache13–2-0.0023%15 Jul →
dust28–13-0.0233%14 Jul →
anubis16–120.0714%14 Jul →
cache11–130.0634%10 Jul →
dust213–60.0916%10 Jul →
mirage10–13-0.0623%9 Jul →
dust22–13-0.0924%7 Jul →
dust211–130.0629%6 Jul →
anubis0–13-0.0717%5 Jul →
dust213–100.0314%2 Jul →
inferno16–130.0624%30 Jun →
ancient14–16-0.0210%30 Jun →
inferno13–2-0.007%30 Jun →
dust216–120.0216%29 Jun →
ancient13–9-0.0241%29 Jun →
ancient5–13-0.0723%22 Jun →
mirage10–13-0.040%21 Jun →
dust24–130.0125%21 Jun →
ancient13–6-0.039%21 Jun →
cache7–13-0.0326%21 Jun →
nuke11–13-0.0319%21 Jun →
mirage19–17-0.038%21 Jun →
dust213–10-0.0221%20 Jun →
mirage13–70.0122%18 Jun →
ancient9–13-0.0828%17 Jun →
overpass11–13-0.020%17 Jun →
ancient13–100.0610%17 Jun →
ancient13–5-0.027%17 Jun →
dust213–40.0721%14 Jun →
nuke3–13-0.0416%14 Jun →
ancient13–11-0.0433%13 Jun →
mirage9–130.0114%13 Jun →
anubis13–40.0217%12 Jun →
dust28–13-0.0637%12 Jun →
mirage13–70.0122%12 Jun →
nuke13–80.0812%12 Jun →
anubis13–10-0.0224%9 Jun →
nuke8–13-0.0216%9 Jun →
anubis13–110.0417%8 Jun →
anubis1–13-0.069%7 Jun →
mirage8–0-0.0267%7 Jun →
ancient10–13-0.0019%6 Jun →
inferno2–13-0.0113%6 Jun →
ancient13–50.0317%5 Jun →
overpass13–40.0514%5 Jun →
dust213–9-0.0324%5 Jun →
nuke3–13-0.075%4 Jun →
dust27–13-0.0119%4 Jun →
dust214–16-0.0125%1 Jun →
dust213–10-0.0131%31 May →
anubis11–130.0415%31 May →
dust25–13-0.0423%31 May →
anubis9–13-0.0719%29 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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