Maki

Maki — CS2 Stats

FI76561199076440840[U:1:1116175112]Steam profile ↗✓ No bans

512Tracked matches54%Win rate2024Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating18,050Purple band · top ~16.3% of ranked players (population est.)
FaceitLevel 6 · 1,345 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,050 → 18,050
0Faceit ELO · 1,345 → 1,345
+14Tracked matches · now 512
+5.4ppWin rate · 48.1% → 53.6%

Rating over time

Premier CS Rating: 18,050 -1,160 28 Jan – 6 Sept · 25 days played
17,29621,809peak 21,80928 Jan6 Sept
21,809Peak Premier in tracked matches
1,345Highest Faceit ELO seen on CSDB
30Days played since 2026-01-28

Faceit ELO

  • At peak — 1,345
  • Next: Level 7 at 1,351 — 6 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-06
  • Level 5 first seen 2026-09-06

Premier CS Rating

  • 3,759 below peak (21,809)
  • Next: Pink band at 20,000 — 1,950 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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.GGMakiFACEITLevel 6 · 1,345 ELOSTANDINGTop 54.0% of rankedPREMIER18,050 · Purple bandPEAK ELO1,345csdb.gg/stats

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Performance scores

Aim73
Positioning59
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLTWWLWWWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −5.4pp headshot accuracy · −31ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 530ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 549ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 565ms

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 (+2.3 against its own average).

Aim7.3
Utility1.0
Positioning5.9
Opening Duels4.2
Clutch3.2

Limited utility dependence

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

donk

Plays most like donk 75% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Areas to improve

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

Reaction time. 577ms 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

Aim7.3
Positioning5.9
Utility1.0
Mechanics5.4
Opening Duels4.7
Win Impact6.2

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time586ms−27ms
first ⅓ avg 612ms → last ⅓ avg 586ms
Headshot accuracy17.8%+2.2%
first ⅓ avg 15.6% → 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

0.25Best match rating · 9–5 · nuke, 7 Feb →
32%Best headshot accuracy · 9–13 · ancient, 7 Feb →
430msFastest reaction time · 13–5 · ancient, 15 Sept →
13–0Biggest win · office, 14 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 63% over 8nukeWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
ancientA3119–1261%0.00
mirageB2513–1252%-0.01
nukeC176–1135%0.02
anubisA85–363%0.01
dust2C52–340%0.01
overpass—41–325%-0.01
inferno—32–167%0.02
train—21–150%0.06
boulder—10–10%0.09
office—11–0100%0.11
fachwerk—11–0100%0.04
vertigo—11–0100%-0.00
cache—10–10%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

175Matches
55%Win rate
0.90Avg K/D
71.7ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7261%0.9413.4
Ancient3459%0.8912.7
Nuke3053%0.9414.8
Anubis1429%0.8914.3
Dust21060%0.7211.3
Vertigo743%0.8313.4
Train450%0.8812.0
Inferno450%0.6810.5

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.

18.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.0%Spray accuracy
74.5%Counter-strafing
7.6°Preaim
577msReaction time
54.9%T opening success
42.5%CT opening success
0.09Enemies flashed / flash
0.0%Flash assists
7.34HE damage / grenade
0.17Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0906 — below the 0.5 mark we flag

    Grenade Lineups →
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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder10–130.0912%15 Sept →
nuke12–120.1319%15 Sept →
ancient13–50.018%15 Sept →
dust213–40.044%15 Sept →
mirage6–13-0.0521%15 Sept →
office13–00.1117%14 Sept →
fachwerk13–50.0421%14 Sept →
vertigo13–11-0.0015%14 Sept →
cache8–13-0.0811%13 Sept →
anubis13–50.0217%13 Sept →
overpass4–13-0.0426%13 Sept →
train13–80.1630%12 Sept →
inferno13–90.0412%12 Sept →
nuke11–130.0319%12 Sept →
nuke11–130.0232%4 Jul →
dust213–80.1112%4 Jul →
ancient13–40.1124%4 Jul →
ancient13–9-0.0221%14 Mar →
mirage8–13-0.0315%14 Mar →
ancient13–10-0.019%13 Mar →
nuke8–130.0132%13 Mar →
train12–12-0.0524%4 Mar →
mirage3–13-0.0126%3 Mar →
overpass7–130.0214%3 Mar →
mirage10–13-0.0115%3 Mar →
anubis7–130.0311%28 Feb →
ancient13–20.0525%28 Feb →
ancient13–8-0.0125%28 Feb →
ancient7–13-0.0316%27 Feb →
ancient13–8-0.0511%27 Feb →
mirage6–13-0.0219%27 Feb →
mirage9–130.0514%27 Feb →
mirage9–13-0.0615%26 Feb →
nuke7–13-0.0714%26 Feb →
anubis13–100.0213%25 Feb →
mirage13–70.0124%25 Feb →
nuke13–50.0211%25 Feb →
ancient15–15-0.0212%25 Feb →
anubis13–100.0618%24 Feb →
mirage7–13-0.0614%24 Feb →
nuke13–60.0312%24 Feb →
anubis13–4-0.0420%24 Feb →
mirage15–15-0.0313%23 Feb →
nuke5–13-0.0617%23 Feb →
ancient13–3-0.057%23 Feb →
mirage13–9-0.0518%22 Feb →
anubis13–70.0617%18 Feb →
nuke6–13-0.0125%18 Feb →
mirage7–13-0.0014%18 Feb →
ancient13–7-0.0819%18 Feb →
ancient6–40.0320%11 Feb →
mirage7–13-0.0016%11 Feb →
mirage13–70.0613%11 Feb →
ancient13–40.0913%11 Feb →
ancient13–60.0122%10 Feb →
mirage13–50.0114%10 Feb →
ancient16–120.079%10 Feb →
ancient9–13-0.0532%7 Feb →
nuke9–50.2514%7 Feb →
nuke13–100.0418%7 Feb →
mirage13–3-0.0127%6 Feb →
ancient8–130.0215%6 Feb →
overpass6–130.0019%6 Feb →
ancient13–11-0.0413%5 Feb →
ancient13–80.0015%4 Feb →
overpass13–11-0.0119%4 Feb →
ancient13–90.0122%4 Feb →
inferno13–20.1231%4 Feb →
mirage13–50.0216%3 Feb →
nuke16–13-0.0113%3 Feb →
inferno7–13-0.0915%2 Feb →
nuke12–12-0.0316%2 Feb →
mirage13–40.0124%2 Feb →
dust210–130.0228%1 Feb →
ancient11–130.0513%1 Feb →
nuke6–13-0.0521%1 Feb →
ancient9–13-0.048%1 Feb →
ancient13–100.0624%31 Jan →
mirage16–14-0.0214%31 Jan →
mirage13–30.0112%31 Jan →
ancient13–40.0312%31 Jan →
nuke11–13-0.016%31 Jan →
mirage11–13-0.0711%31 Jan →
ancient4–13-0.018%30 Jan →
ancient7–13-0.0528%30 Jan →
ancient13–50.0712%30 Jan →
nuke13–100.0326%30 Jan →
anubis6–13-0.0622%30 Jan →
mirage13–9-0.0219%29 Jan →
anubis13–160.029%29 Jan →
dust29–13-0.056%29 Jan →
ancient8–13-0.039%29 Jan →
ancient7–130.0216%29 Jan →
mirage13–10-0.0011%29 Jan →
nuke8–13-0.0213%29 Jan →
ancient15–15-0.0416%29 Jan →
mirage13–20.0410%29 Jan →
dust23–13-0.0518%28 Jan →
ancient10–13-0.0515%28 Jan →
mirage13–70.0213%28 Jan →

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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