macks

macks — CS2 Stats

76561198067724420[U:1:107458692]Steam profile ↗✓ No bans

229Tracked matches28%Win rate2024Tracked since
341Hours in CS
CSDB Rating1.9 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 229 tracked matches. Play, then come back: the next observation lands here.

Rating over time

47Days played since 2025-03-07

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim15
Positioning32
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY27–69–4Last 10027%Win rateLLLLWLWWLW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +1.9pp headshot accuracy · −25ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 633ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 10%
  • Avg reaction 678ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 9%
  • Avg reaction 691ms

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 (+1.3 against its own average).

Aim1.5
Utility2.5
Positioning3.2
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 66% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 690ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.5
Positioning3.2
Utility2.5
Mechanics2.8
Opening Duels0.2
Win Impact0.0

Composite 1.9/10 (Learning), 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 rating-0.06−0.01
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time694ms−41ms
first ⅓ avg 735ms → last ⅓ avg 694ms
Headshot accuracy9.9%−0.8%
first ⅓ avg 10.7% → last ⅓ avg 9.9%

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

0.13Best match rating · 13–2 · dust2, 30 May →
33%Best headshot accuracy · 8–13 · dust2, 31 May →
500msFastest reaction time · 6–13 · office, 26 Aug →
13–2Biggest win · nuke, 20 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
3–6In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 57% over 7infernoWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D349–2526%-0.05
mirageD217–1433%-0.05
officeD132–1115%-0.06
nukeB84–450%-0.07
cacheA74–357%-0.08
infernoD70–70%-0.06
ancient—31–233%-0.04
agency—20–20%-0.06
vertigo—10–10%-0.05
overpass—10–10%-0.18
anubis—10–10%-0.04
train—10–10%-0.07
grail—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,463Lifetime kills
0.69K/D
1,086Matches
29.6%Match win rate
30.9%Headshot %
9.7%Shot accuracy
1,391MVPs
341Hours (in match)
483Bombs planted
157Bombs defused

Most-used weapons

Lifetime map wins

2,549dust2
479office
381inferno
247nuke
147vertigo
98dust
58bank
49italy

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.

10.8%Headshot accuracy
27.9%Accuracy (enemy spotted)
31.2%Spray accuracy
62.8%Counter-strafing
13.7°Preaim
690msReaction time
19.3%T opening success
32.0%CT opening success
0.55Enemies flashed / flash
1.9%Flash assists
3.21HE damage / grenade
3.74Flashes / 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 13.6652° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.7606% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7372 — below the 4 mark we flag

    Grenade Lineups →
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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0710%14 Jul →
office4–6-0.090%9 Jun →
office9–13-0.055%6 Jun →
cache9–13-0.108%6 Jun →
cache13–6-0.0217%28 May →
mirage7–13-0.0710%28 May →
cache2–1-0.170%1 May →
cache13–10-0.0816%1 May →
cache9–13-0.087%29 Apr →
office13–7-0.0529%29 Apr →
cache13–8-0.059%29 Apr →
nuke3–13-0.054%3 Apr →
mirage3–13-0.1210%2 Apr →
mirage6–13-0.048%2 Apr →
office8–13-0.0814%12 Mar →
office7–13-0.1117%2 Mar →
office1–13-0.1012%28 Feb →
dust29–13-0.083%28 Feb →
vertigo10–13-0.057%20 Feb →
nuke13–2-0.070%20 Feb →
nuke11–13-0.009%6 Feb →
office13–100.0212%11 Dec →
office6–13-0.085%10 Dec →
mirage8–13-0.053%7 Dec →
dust21–13-0.0615%28 Oct →
dust212–12-0.0910%28 Oct →
dust29–13-0.0316%28 Oct →
mirage9–13-0.0720%24 Oct →
dust28–130.0117%24 Oct →
dust213–11-0.0615%24 Oct →
nuke13–8-0.095%9 Oct →
dust25–13-0.053%9 Oct →
mirage13–70.0213%9 Oct →
mirage13–5-0.0229%9 Oct →
dust28–13-0.0011%8 Oct →
inferno6–9-0.1417%28 Sept →
overpass2–9-0.1822%27 Sept →
dust26–13-0.0721%16 Sept →
mirage13–7-0.1118%16 Sept →
inferno12–12-0.0724%15 Sept →
agency8–13-0.0815%15 Sept →
agency3–13-0.053%10 Sept →
mirage4–13-0.053%6 Sept →
dust26–13-0.035%6 Sept →
dust27–13-0.126%6 Sept →
dust211–13-0.130%31 Aug →
dust23–13-0.0916%31 Aug →
dust25–13-0.029%31 Aug →
office6–130.017%26 Aug →
dust24–13-0.0319%26 Aug →
inferno1–130.0013%26 Aug →
mirage5–13-0.078%26 Aug →
office6–13-0.125%18 Aug →
dust26–13-0.0210%18 Aug →
ancient10–13-0.068%15 Aug →
dust213–3-0.016%15 Aug →
dust213–9-0.0326%12 Aug →
mirage13–5-0.059%12 Aug →
mirage13–11-0.0311%11 Aug →
dust213–2-0.065%11 Aug →
dust29–13-0.0617%6 Aug →
mirage4–13-0.0315%6 Aug →
mirage12–12-0.0224%6 Aug →
anubis4–13-0.0417%5 Aug →
ancient5–13-0.049%3 Aug →
dust213–30.0127%3 Aug →
nuke8–13-0.107%23 Jul →
mirage7–13-0.073%23 Jul →
mirage13–9-0.0213%23 Jul →
office7–13-0.054%2 Jul →
inferno10–13-0.053%29 Jun →
dust211–13-0.0528%29 Jun →
ancient13–6-0.0220%29 Jun →
inferno0–13-0.0510%21 Jun →
dust23–13-0.1317%21 Jun →
mirage13–6-0.0314%1 Jun →
inferno4–13-0.0413%1 Jun →
mirage7–13-0.0818%31 May →
nuke13–8-0.068%31 May →
dust211–13-0.0712%31 May →
dust28–13-0.0533%31 May →
train10–13-0.0718%30 May →
dust213–7-0.1022%30 May →
inferno2–13-0.095%30 May →
grail3–13-0.0712%30 May →
mirage8–130.027%30 May →
dust213–20.139%30 May →
dust213–10-0.115%29 May →
dust213–80.013%29 May →
dust210–13-0.034%28 May →
mirage7–13-0.0810%28 May →
dust25–13-0.085%28 May →
dust28–13-0.034%28 May →
dust212–12-0.043%27 May →
dust26–13-0.1118%27 May →
nuke0–13-0.137%25 May →
mirage1–13-0.0810%25 May →
office0–13-0.090%25 May →
nuke13–8-0.074%7 Mar →
office3–13-0.0410%7 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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