majzpoff

majzpoff — CS2 Stats

SE76561199258117656[U:1:1297851928]Steam profile ↗✓ No bans

678Tracked matches57%Win rate2024Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating13,435Blue band · top ~36.7% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (5 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: 13,435 +4,409 21 Aug – 12 Oct · 12 days played
9,02613,893peak 13,89321 Aug12 Oct
14,197Peak Premier in tracked matches
570Highest Faceit ELO seen on CSDB
39Days played since 2025-09-20

Premier CS Rating

  • 458 below peak (13,893)
  • -441 over 30 days · declining
  • Next: Purple band at 15,000 — 1,565 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. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGmajzpoffPREMIER13,435 · Blue bandPEAK ELO570csdb.gg/stats

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Performance scores

Aim76
Positioning26
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateLWWLLLLWWL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −0.4pp headshot accuracy · +13ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 680ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 620ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 613ms

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 (+1.6 against its own average).

Aim7.6
Utility1.3
Positioning2.6
Opening Duels0.0
Clutch0.0

Excellent counter-strafingLimited 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

ropz

Plays most like ropz 79% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 50 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. 584ms 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

Aim7.6
Positioning2.6
Utility1.3
Mechanics8.9
Opening Duels0.0
Win Impact7.4

Composite 4.8/10 (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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time585ms+30ms
first ⅓ avg 555ms → last ⅓ avg 585ms
Headshot accuracy16.9%+0.3%
first ⅓ avg 16.7% → last ⅓ avg 16.9%

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

0.09Best match rating · 13–7 · ancient, 19 Aug →
58%Best headshot accuracy · 9–5 · inferno, 20 Aug →
422msFastest reaction time · 13–6 · anubis, 15 Sept →
13–1Biggest win · inferno, 7 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 86% over 7dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB1910–953%-0.02
vertigoB147–750%-0.06
ancientA138–562%-0.02
nukeA117–464%-0.05
cacheA106–460%-0.02
dust2C104–640%-0.02
mirageB84–450%-0.01
anubisS76–186%-0.01
train—43–175%-0.01
poseidon—11–0100%-0.09
eldorado—10–10%-0.10
overpass—10–10%-0.09
fachwerk—10–10%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
25%Win rate
0.65Avg K/D
36.8ADR
56%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno250%1.078.5
Dust220%0.244.0

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.

17.3%Headshot accuracy
34.2%Accuracy (enemy spotted)
34.7%Spray accuracy
89.8%Counter-strafing
8.8°Preaim
584msReaction time
17.1%T opening success
26.8%CT opening success
0.13Enemies flashed / flash
0.0%Flash assists
10.88HE damage / grenade
0.43Flashes / 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 0.1262 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 17.1096% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient5–130.0213%14 Oct →
nuke13–11-0.0714%12 Oct →
train13–8-0.017%5 Oct →
vertigo10–130.0221%5 Oct →
vertigo13–16-0.0821%4 Oct →
inferno4–13-0.0021%2 Oct →
inferno11–13-0.067%1 Oct →
cache10–50.0219%30 Sept →
dust213–50.0721%26 Sept →
ancient7–13-0.064%24 Sept →
ancient2–13-0.0811%24 Sept →
vertigo13–5-0.0915%22 Sept →
poseidon9–7-0.0910%22 Sept →
ancient13–7-0.073%19 Sept →
mirage13–8-0.0120%19 Sept →
cache6–13-0.0515%19 Sept →
cache12–12-0.0622%18 Sept →
dust21–13-0.0721%18 Sept →
nuke13–9-0.0311%18 Sept →
cache10–13-0.0126%16 Sept →
inferno12–12-0.076%16 Sept →
ancient13–6-0.0524%16 Sept →
inferno11–130.0024%15 Sept →
train13–11-0.0430%15 Sept →
anubis13–6-0.048%15 Sept →
cache13–5-0.0418%15 Sept →
vertigo13–60.0830%14 Sept →
inferno13–40.0323%12 Sept →
dust213–40.0019%12 Sept →
vertigo5–9-0.1518%10 Sept →
dust25–13-0.0718%8 Sept →
cache13–50.0128%8 Sept →
eldorado8–8-0.1013%8 Sept →
inferno13–1-0.0921%7 Sept →
mirage13–90.0316%6 Sept →
ancient13–5-0.0214%6 Sept →
dust211–130.0218%6 Sept →
mirage4–13-0.047%5 Sept →
cache13–6-0.0219%5 Sept →
ancient8–13-0.0513%5 Sept →
inferno13–9-0.0315%5 Sept →
nuke13–5-0.049%5 Sept →
anubis13–110.0113%5 Sept →
ancient13–8-0.0212%5 Sept →
anubis13–6-0.0020%5 Sept →
inferno12–120.0012%4 Sept →
dust216–12-0.0115%3 Sept →
mirage14–16-0.0119%3 Sept →
ancient13–80.0213%1 Sept →
anubis13–110.0213%1 Sept →
nuke13–30.0721%1 Sept →
nuke9–13-0.0213%31 Aug →
inferno13–20.088%31 Aug →
mirage10–130.0118%31 Aug →
vertigo9–30.0212%31 Aug →
mirage11–13-0.0420%30 Aug →
vertigo2–9-0.230%29 Aug →
mirage13–1-0.0228%29 Aug →
cache13–80.029%28 Aug →
vertigo9–3-0.0910%28 Aug →
ancient13–60.0323%27 Aug →
nuke13–10-0.0415%27 Aug →
vertigo2–13-0.0617%25 Aug →
overpass7–13-0.0921%25 Aug →
train7–13-0.0213%24 Aug →
cache5–13-0.0225%24 Aug →
inferno11–13-0.0810%23 Aug →
anubis13–4-0.0111%23 Aug →
vertigo8–8-0.073%23 Aug →
vertigo13–7-0.0712%21 Aug →
train13–110.048%21 Aug →
dust213–16-0.0113%21 Aug →
anubis13–40.0115%21 Aug →
inferno13–80.0414%21 Aug →
inferno13–11-0.0113%20 Aug →
dust212–12-0.0718%20 Aug →
nuke7–9-0.1420%20 Aug →
inferno9–50.0458%20 Aug →
cache13–6-0.0718%19 Aug →
vertigo13–11-0.0511%19 Aug →
inferno7–13-0.0315%19 Aug →
ancient13–70.0916%19 Aug →
inferno5–4-0.0911%19 Aug →
nuke13–7-0.0017%18 Aug →
vertigo13–10.0220%18 Aug →
ancient13–2-0.0221%18 Aug →
dust213–80.047%18 Aug →
mirage13–60.0319%18 Aug →
inferno3–13-0.0320%18 Aug →
nuke6–13-0.0617%17 Aug →
anubis6–13-0.0820%14 Aug →
nuke13–9-0.0414%13 Aug →
fachwerk10–130.0222%13 Aug →
inferno13–8-0.0218%13 Aug →
ancient11–13-0.0114%13 Aug →
inferno4–13-0.0629%13 Aug →
dust25–13-0.0715%13 Aug →
vertigo11–13-0.0210%13 Aug →
inferno13–9-0.0419%13 Aug →
nuke6–9-0.1310%13 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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