MacTruckMac89

MacTruckMac89 — CS2 Stats

76561198236544010[U:1:276278282]Steam profile ↗✓ No bans

475Tracked matches46%Win rate2023Tracked since
682Hours in CS
CSDB Rating3.1 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 475 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 7,693 +2,813 14 Jan – 30 Jun · 14 days played
4,8809,882peak 9,88214 Jan30 Jun
9,999Peak Premier in tracked matches
56Days played since 2026-01-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim29
Positioning39
Utility26

0–100 skill scores via Leetify.

Recent form

HOT49–45–6Last 10049%Win rateWLWWWWLWLW

Last 10 vs previous 10: +20pp win rate · −0.06 avg rating · −1.6pp headshot accuracy · +2ms 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 (−0.06), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 719ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 687ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 686ms

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 (+1.4 against its own average).

Aim2.9
Utility2.6
Positioning3.9
Opening Duels1.0

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

donk

Plays most like donk 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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.

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

Aim2.9
Positioning3.9
Utility2.6
Mechanics4.5
Opening Duels0.1
Win Impact3.8

Composite 3.1/10 (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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time686ms−23ms
first ⅓ avg 709ms → last ⅓ avg 686ms
Headshot accuracy13.1%+0.6%
first ⅓ avg 12.5% → last ⅓ avg 13.1%

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

0.20Best match rating · 7–1 · dust2, 16 Jun →
36%Best headshot accuracy · 0–3 · ancient, 9 Mar →
453msFastest reaction time · 11–13 · inferno, 18 Jun →
13–0Biggest win · dust2, 18 Jun →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
dust2A2415–963%-0.02
mirageC228–1436%-0.01
nukeC167–944%-0.02
ancientB105–550%-0.04
infernoC104–640%-0.01
anubisA74–357%-0.04
overpassS54–180%-0.04
cache—30–30%-0.01
vertigo—11–0100%-0.05
alpine—10–10%-0.04
train—11–0100%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 22). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,556Lifetime kills
0.57K/D
1,442Matches
27.3%Match win rate
41.1%Headshot %
8.0%Shot accuracy
973MVPs
682Hours (in match)
507Bombs planted
91Bombs defused

Most-used weapons

Lifetime map wins

1,383dust2
825inferno
727nuke
131vertigo
91office
82train
36cbble
35safehouse

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.

12.9%Headshot accuracy
31.2%Accuracy (enemy spotted)
30.1%Spray accuracy
70.3%Counter-strafing
12.0°Preaim
690msReaction time
29.8%T opening success
30.6%CT opening success
0.49Enemies flashed / flash
0.8%Flash assists
5.35HE damage / grenade
7.94Flashes / 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. 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 12.9457% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4852 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.7729% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.089%25 Jul →
mirage6–13-0.0414%23 Jul →
dust213–4-0.0418%21 Jul →
dust213–90.0317%21 Jul →
dust213–9-0.0514%30 Jun →
nuke13–10-0.088%28 Jun →
anubis6–13-0.075%28 Jun →
anubis13–90.0118%27 Jun →
mirage5–13-0.030%26 Jun →
inferno13–90.0210%26 Jun →
inferno11–130.066%18 Jun →
dust213–00.1217%18 Jun →
mirage13–6-0.026%18 Jun →
dust211–13-0.012%16 Jun →
dust27–10.2017%16 Jun →
ancient15–15-0.0016%12 Jun →
nuke10–130.0323%11 Jun →
inferno13–70.0014%10 Jun →
mirage6–13-0.0515%5 Jun →
dust213–11-0.0512%25 May →
cache12–12-0.060%21 May →
cache5–13-0.0114%13 May →
dust213–40.065%3 May →
cache9–130.0315%30 Apr →
dust22–13-0.0712%21 Apr →
mirage2–100.0229%9 Mar →
ancient0–3-0.0736%9 Mar →
nuke10–13-0.0815%27 Feb →
nuke9–13-0.0424%23 Feb →
dust26–13-0.0611%19 Feb →
mirage5–13-0.057%18 Feb →
inferno13–6-0.0113%17 Feb →
dust210–13-0.1014%17 Feb →
anubis13–30.049%16 Feb →
mirage13–6-0.0015%16 Feb →
vertigo13–10-0.0519%16 Feb →
nuke6–13-0.0621%16 Feb →
nuke11–13-0.0920%15 Feb →
anubis13–8-0.0613%14 Feb →
nuke3–13-0.046%10 Feb →
mirage11–13-0.0211%9 Feb →
dust213–10-0.0414%9 Feb →
mirage8–13-0.0211%8 Feb →
dust20–6-0.0530%7 Feb →
ancient13–50.047%7 Feb →
dust214–160.0319%6 Feb →
inferno8–13-0.079%6 Feb →
mirage13–10.0613%6 Feb →
mirage13–30.0321%6 Feb →
nuke6–130.0416%5 Feb →
mirage13–30.1611%5 Feb →
overpass13–3-0.018%4 Feb →
dust211–13-0.0315%4 Feb →
mirage16–13-0.027%4 Feb →
mirage13–70.0920%4 Feb →
inferno13–30.075%4 Feb →
overpass4–130.0010%4 Feb →
mirage13–10.106%2 Feb →
ancient3–13-0.0510%2 Feb →
mirage12–16-0.0315%29 Jan →
nuke13–6-0.0328%29 Jan →
anubis4–13-0.120%26 Jan →
dust213–7-0.0628%26 Jan →
nuke13–5-0.0714%26 Jan →
inferno4–13-0.0722%25 Jan →
overpass13–4-0.088%25 Jan →
mirage8–13-0.0211%24 Jan →
alpine10–13-0.0411%24 Jan →
dust213–11-0.076%22 Jan →
anubis13–80.0011%22 Jan →
nuke13–9-0.070%21 Jan →
dust213–11-0.0115%21 Jan →
nuke13–9-0.032%20 Jan →
mirage12–12-0.038%20 Jan →
nuke13–70.0211%19 Jan →
dust213–11-0.0314%19 Jan →
ancient13–10-0.088%18 Jan →
ancient13–5-0.0425%17 Jan →
mirage12–12-0.0617%17 Jan →
train13–5-0.0013%17 Jan →
nuke6–130.1119%17 Jan →
nuke13–60.0523%17 Jan →
inferno3–130.0211%16 Jan →
mirage11–13-0.0614%14 Jan →
mirage7–13-0.059%14 Jan →
dust213–2-0.0416%14 Jan →
dust213–10-0.0322%13 Jan →
ancient9–13-0.099%13 Jan →
inferno10–13-0.0511%12 Jan →
overpass13–11-0.0921%11 Jan →
dust213–6-0.0421%11 Jan →
inferno3–13-0.048%10 Jan →
ancient13–1-0.039%10 Jan →
anubis10–13-0.0918%9 Jan →
nuke12–12-0.0712%8 Jan →
dust212–12-0.068%8 Jan →
mirage7–13-0.089%7 Jan →
overpass13–7-0.0514%6 Jan →
dust211–13-0.0210%6 Jan →
ancient10–13-0.048%6 Jan →

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 →

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