MAKSI152

MAKSI152 — CS2 Stats

PL76561199024830205[U:1:1064564477]Steam profile ↗✓ No bans

1,844Tracked matches59%Win rate2023Tracked since
CSDB Rating7.7 StrongPositional Player
Premier CS Rating25,464Top 10% of 205,416 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#17028 of 252703 tracked
FaceitLevel 10 · 2,001 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 25,464 +527 25 Jul – 16 Oct · 18 days played
24,32726,324peak 26,32425 Jul16 Oct
Faceit ELO: 2,001 +0 30 Aug – 2 Sept · 3 observations
2,0012,001peak 2,00130 Aug2 Sept
26,324Peak Premier in tracked matches
2,001Highest Faceit ELO seen on CSDB
35Days played since 2026-07-21

Faceit ELO

  • At peak — 2,001
  • Next: 2,500 ELO at 2,500 — 499 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier CS Rating

  • 860 below peak (26,324)
  • +272 over 30 days · steady
  • +527 over 90 days
  • Next: Gold band at 30,000 — 4,536 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

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.GGMAKSI152FACEITLevel 10 · 2,001 ELOSTANDINGTop 12.4% of rankedPREMIER25,464 · Red bandPEAK ELO2,001csdb.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

Aim79
Positioning74
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY58–36–6Last 10058%Win rateWLLWTLLWLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +2.1pp headshot accuracy · −27ms reaction

Win rate down 30pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 477ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 528ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 541ms

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 (+1.9 against its own average).

Aim7.9
Utility6.3
Positioning7.4
Opening Duels5.1
Clutch3.4

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 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 558ms 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

Aim7.9
Positioning7.4
Utility6.3
Mechanics7.6
Opening Duels6.3
Win Impact8.1

Composite 7.7/10 (Strong), 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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time564ms−35ms
first ⅓ avg 600ms → last ⅓ avg 564ms
Headshot accuracy22.7%+0.8%
first ⅓ avg 21.8% → last ⅓ avg 22.7%

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 · 12–12 · inferno, 7 Oct →
100%Best headshot accuracy · 1–4 · anubis, 21 Sept →
313msFastest reaction time · 10–13 · inferno, 16 Aug →
13–2Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 79% over 19infernoWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
nukeS2013–765%0.00
infernoC197–1237%0.01
ancientS1915–479%0.01
anubisA1710–759%-0.00
mirageC146–843%-0.01
vertigo—43–175%0.06
dust2—32–167%0.00
cache—20–20%-0.01
train—22–0100%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

344Matches
59%Win rate
1.08Avg K/D
78.4ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient7356%1.1616.9
Mirage6766%1.0115.7
Nuke6664%1.1015.9
Inferno4342%0.9514.3
Anubis4154%1.1316.0
Train2378%1.2918.9
Overpass1958%1.0314.7
Dust2850%0.8714.3

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.

20.5%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.1%Spray accuracy
84.0%Counter-strafing
9.0°Preaim
558msReaction time
54.4%T opening success
55.8%CT opening success
0.59Enemies flashed / flash
8.6%Flash assists
12.17HE damage / grenade
11.93Flashes / 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.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–20.0417%16 Oct →
cache7–13-0.0221%16 Oct →
nuke4–13-0.0632%15 Oct →
dust213–60.1532%15 Oct →
ancient12–120.1420%13 Oct →
mirage3–13-0.0612%13 Oct →
anubis11–13-0.0225%12 Oct →
ancient13–9-0.0318%12 Oct →
inferno7–13-0.0023%12 Oct →
ancient13–90.0920%12 Oct →
nuke13–7-0.0317%12 Oct →
mirage5–13-0.0725%12 Oct →
ancient13–90.0416%12 Oct →
anubis4–13-0.0420%12 Oct →
inferno13–110.0826%12 Oct →
inferno13–110.0112%7 Oct →
vertigo13–20.1023%7 Oct →
inferno12–120.1622%7 Oct →
nuke13–70.0317%7 Oct →
mirage13–90.0819%5 Oct →
mirage13–8-0.038%4 Oct →
vertigo12–120.0017%3 Oct →
nuke13–20.1517%3 Oct →
anubis13–70.1119%3 Oct →
inferno13–70.1416%3 Oct →
cache10–130.0119%3 Oct →
anubis14–16-0.0216%28 Sept →
nuke0–3-0.120%28 Sept →
dust24–13-0.1054%27 Sept →
mirage13–9-0.0021%27 Sept →
nuke11–130.0420%27 Sept →
anubis1–4-0.05100%21 Sept →
ancient13–9-0.0223%17 Sept →
inferno5–13-0.0518%17 Sept →
ancient16–14-0.0413%17 Sept →
anubis13–90.0315%17 Sept →
inferno7–13-0.0629%10 Sept →
vertigo13–110.1223%8 Sept →
nuke9–13-0.0533%7 Sept →
inferno22–25-0.0616%7 Sept →
mirage5–13-0.0329%1 Sept →
inferno15–15-0.0320%30 Aug →
ancient13–100.0111%30 Aug →
mirage11–13-0.0614%30 Aug →
anubis10–13-0.0426%30 Aug →
mirage16–14-0.0123%29 Aug →
inferno8–13-0.0317%29 Aug →
ancient13–7-0.0715%28 Aug →
anubis13–8-0.0619%25 Aug →
inferno9–13-0.0118%22 Aug →
mirage9–13-0.0313%19 Aug →
anubis13–7-0.0022%19 Aug →
vertigo13–80.0324%19 Aug →
nuke13–70.0320%19 Aug →
nuke13–50.0628%16 Aug →
inferno10–13-0.0337%16 Aug →
nuke13–60.0045%16 Aug →
ancient10–130.0218%14 Aug →
train13–5-0.0026%14 Aug →
anubis11–130.0825%14 Aug →
inferno13–3-0.0415%10 Aug →
anubis13–20.0126%7 Aug →
inferno6–13-0.0216%3 Aug →
anubis13–110.0131%3 Aug →
anubis13–80.0318%3 Aug →
anubis11–13-0.0430%2 Aug →
ancient11–13-0.0419%2 Aug →
ancient13–100.0324%2 Aug →
nuke8–130.0130%2 Aug →
inferno13–9-0.0515%2 Aug →
inferno13–50.0813%2 Aug →
anubis13–11-0.0127%1 Aug →
mirage5–13-0.0525%1 Aug →
ancient13–20.0234%1 Aug →
nuke5–1-0.0523%1 Aug →
ancient13–7-0.0616%1 Aug →
ancient19–150.0015%30 Jul →
nuke13–4-0.019%30 Jul →
dust213–8-0.0535%30 Jul →
ancient13–30.0525%30 Jul →
nuke2–13-0.0721%30 Jul →
inferno12–120.0021%30 Jul →
nuke13–6-0.0314%30 Jul →
nuke13–80.0553%29 Jul →
anubis13–80.0210%29 Jul →
nuke13–60.0420%29 Jul →
ancient11–13-0.0117%29 Jul →
nuke3–130.0117%29 Jul →
mirage13–70.0518%29 Jul →
mirage11–13-0.0212%28 Jul →
mirage8–130.0320%28 Jul →
inferno15–15-0.0417%25 Jul →
ancient13–50.0322%22 Jul →
anubis22–19-0.0222%21 Jul →
ancient13–9-0.0422%21 Jul →
ancient13–20.0018%21 Jul →
nuke13–30.0329%21 Jul →
mirage13–100.0215%21 Jul →
nuke16–120.0117%21 Jul →
train13–6-0.0043%21 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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