Makarov

Makarov — CS2 Stats

LB76561199543824913[U:1:1583559185]Steam profile ↗✓ No bans

1,169Tracked matches61%Win rate2025Tracked since
926Hours in CS0Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating4,933Grey band · top ~79.1% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,169 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 4,933 -6,681 24 Sept – 26 Oct · 14 days played
4,07311,614peak 11,61424 Sept26 Oct
11,986Peak Premier in tracked matches
25Days played since 2026-09-23

Premier CS Rating

  • 6,681 below peak (11,614)
  • -6,367 over 30 days · declining
  • Next: Light Blue band at 5,000 — 67 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.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate43.2%38.2%39.9%above
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio1.170.830.92above
Match win rate48.3%40.2%42.3%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMakarovPREMIER4,933 · Grey bandcsdb.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

Aim49
Positioning69
Utility52

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateWWWWWWWWLL

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · +5.8pp headshot accuracy · +121ms reaction

Win rate up 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

  • 5–0 · 100% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 22%
  • Avg reaction 672ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 702ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 641ms

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).

Aim4.9
Utility5.2
Positioning6.9
Opening Duels5.0

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

jL

Plays most like jL 77% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 679ms 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

Aim4.9
Positioning6.9
Utility5.2
Mechanics6.1
Opening Duels7.1
Win Impact8.6

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.04
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time665ms−20ms
first ⅓ avg 685ms → last ⅓ avg 665ms
Headshot accuracy19.4%+1.4%
first ⅓ avg 18.0% → last ⅓ avg 19.4%

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

0.17Best match rating · 13–10 · dust2, 4 Oct →
37%Best headshot accuracy · 13–0 · dust2, 6 Oct →
469msFastest reaction time · 11–13 · mirage, 26 Sept →
13–0Biggest win · anubis, 26 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W8Current streak
5–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 67% over 9dust2Weakest map · 47% over 75
MapGradePlayedRecordWin rateAvg rating
dust2B7535–4047%0.03
infernoS96–367%0.05
mirageB84–450%-0.03
anubisA53–260%0.05
cache—21–150%0.02
ancient—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 75). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,763Lifetime kills
1.17K/D · Top 10% of Grey band
1,250Matches
48.3%Match win rate · Top 10% of Grey band
43.2%Headshot % · Top 25% of Grey band
0.0%Shot accuracy
3,970MVPs
439Hours (in match)
676Bombs planted
341Bombs defused

Most-used weapons

Lifetime map wins

10,614dust2
670inferno
97nuke
6train
2ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.3%Spray accuracy
77.3%Counter-strafing
13.0°Preaim
679msReaction time
67.0%T opening success
50.2%CT opening success
0.59Enemies flashed / flash
7.9%Flash assists
9.66HE damage / grenade
7.78Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0466° — above the 12° mark we flag

    Aim Training →
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.

47% win rate across 75 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
anubis13–00.1633%26 Oct →
anubis13–90.0518%26 Oct →
mirage16–12-0.0216%26 Oct →
dust213–90.1418%25 Oct →
dust213–10.0926%25 Oct →
dust213–20.1317%18 Oct →
dust213–50.0717%18 Oct →
dust213–100.0624%18 Oct →
dust21–130.0724%18 Oct →
anubis6–130.009%18 Oct →
dust213–7-0.0611%17 Oct →
inferno8–130.0413%17 Oct →
mirage13–100.0519%17 Oct →
inferno13–30.0318%17 Oct →
mirage16–13-0.0217%16 Oct →
dust28–130.0518%16 Oct →
dust213–70.0723%16 Oct →
anubis5–130.026%15 Oct →
dust20–110.000%15 Oct →
dust29–13-0.0419%14 Oct →
inferno9–60.0723%14 Oct →
inferno9–60.0328%14 Oct →
dust212–12-0.0236%14 Oct →
dust213–6-0.0122%14 Oct →
dust26–13-0.0424%14 Oct →
dust26–130.1227%14 Oct →
dust27–13-0.0410%13 Oct →
dust212–12-0.0415%13 Oct →
dust213–90.1025%13 Oct →
dust213–40.1015%13 Oct →
dust28–130.0218%13 Oct →
dust213–100.1422%12 Oct →
dust26–130.1527%12 Oct →
dust213–110.0325%12 Oct →
dust213–90.0227%12 Oct →
dust211–13-0.0216%12 Oct →
dust29–13-0.0714%10 Oct →
dust210–13-0.050%10 Oct →
dust23–13-0.0916%10 Oct →
dust213–5-0.016%9 Oct →
anubis13–7-0.0018%9 Oct →
dust213–100.1320%9 Oct →
dust210–13-0.0210%8 Oct →
dust213–70.0516%8 Oct →
dust24–130.0423%8 Oct →
dust25–130.0117%8 Oct →
dust213–110.1014%7 Oct →
dust211–130.0318%6 Oct →
dust213–00.1537%6 Oct →
dust212–12-0.0311%6 Oct →
inferno9–5-0.0416%5 Oct →
inferno9–30.1527%5 Oct →
dust213–4-0.0924%5 Oct →
dust213–50.0911%5 Oct →
inferno9–20.1524%5 Oct →
inferno3–90.0918%5 Oct →
dust26–13-0.0212%5 Oct →
dust212–120.0118%4 Oct →
dust213–100.1720%4 Oct →
dust213–30.0725%4 Oct →
dust28–130.0822%4 Oct →
dust25–13-0.0210%4 Oct →
dust26–13-0.0413%3 Oct →
dust212–12-0.038%3 Oct →
dust25–13-0.0320%3 Oct →
dust210–130.0218%3 Oct →
dust23–13-0.0212%3 Oct →
dust28–130.048%3 Oct →
cache6–130.0221%2 Oct →
mirage4–13-0.058%1 Oct →
dust211–130.1010%1 Oct →
dust27–130.0212%1 Oct →
dust213–110.0823%1 Oct →
dust213–1-0.0118%1 Oct →
dust213–60.0521%1 Oct →
dust26–13-0.0120%29 Sept →
dust23–130.0615%29 Sept →
dust213–8-0.0422%29 Sept →
mirage16–14-0.0619%28 Sept →
dust213–90.0018%28 Sept →
dust214–16-0.0416%27 Sept →
cache13–100.0118%27 Sept →
dust26–130.0114%27 Sept →
ancient13–100.0511%27 Sept →
inferno3–9-0.0512%27 Sept →
dust22–13-0.0417%26 Sept →
mirage11–13-0.0422%26 Sept →
dust213–7-0.0429%26 Sept →
mirage9–13-0.0618%24 Sept →
mirage1–13-0.0713%24 Sept →
dust213–40.0625%24 Sept →
dust213–30.0218%24 Sept →
dust21–13-0.0719%24 Sept →
dust212–120.0525%23 Sept →
dust213–80.0425%23 Sept →
dust213–90.0314%23 Sept →
dust213–30.0517%23 Sept →
dust212–12-0.0119%23 Sept →
dust213–70.1124%23 Sept →
dust213–110.0625%23 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.