HAULERI

HAULERI — CS2 Stats

76561197963558501[U:1:3292773]Steam profile ↗✓ No bans

1,141Tracked matches34%Win rate2020Tracked since
CSDB Rating3.7 LearningSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

+9Tracked matches · now 1,141
−3.5ppWin rate · 37.9% → 34.5%

Rating over time

Premier CS Rating: 24,530 -810 26 Apr – 14 Jun · 2 days played
24,53025,340peak 25,34026 Apr14 Jun
25,340Peak Premier in tracked matches
46Days played since 2025-04-26

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

Share this profile

CSDB.GGHAULERIFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.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

Aim36
Positioning27
Utility58

0–100 skill scores via Leetify.

Recent form

COLD31–64–5Last 10031%Win rateTLLLLLLWWW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.5pp headshot accuracy · −107ms reaction

Win rate down 20pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 795ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 739ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 793ms

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: Support — Utility contribution stands above the rest of this profile (+3.7 against its own average).

Aim3.6
Utility5.8
Positioning2.7
Opening Duels0.0
Clutch0.0

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

ZywOo

Plays most like ZywOo 67% 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. 771ms 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

Aim3.6
Positioning2.7
Utility5.8
Mechanics8.0
Opening Duels0.1
Win Impact0.0

Composite 3.7/10 (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-0.04−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time768ms+37ms
first ⅓ avg 731ms → last ⅓ avg 768ms
Headshot accuracy17.2%+0.4%
first ⅓ avg 16.8% → last ⅓ avg 17.2%

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

0.04Best match rating · 13–4 · cache, 10 Jul →
37%Best headshot accuracy · 11–13 · inferno, 17 Apr →
461msFastest reaction time · 6–13 · dust2, 10 Jan →
13–1Biggest win · nuke, 21 Mar →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 50% over 12anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC2811–1739%-0.03
dust2D266–2023%-0.05
infernoB126–650%-0.02
cacheC94–544%-0.03
anubisD71–614%-0.05
mirageD61–517%-0.04
overpass—41–325%-0.03
train—30–30%-0.06
ancient—10–10%-0.10
jura—10–10%-0.10
grail—11–0100%0.00
italy—10–10%-0.06
edin—10–10%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

430Matches
51%Win rate
0.92Avg K/D
53.8ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.508.0
Inferno10%0.507.0

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.

16.6%Headshot accuracy
28.8%Accuracy (enemy spotted)
35.5%Spray accuracy
85.8%Counter-strafing
12.7°Preaim
771msReaction time
30.6%T opening success
21.7%CT opening success
0.66Enemies flashed / flash
4.2%Flash assists
9.59HE damage / grenade
10.40Flashes / 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 12.7045° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 770.8951ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–12-0.076%17 Oct →
dust24–13-0.0917%17 Oct →
nuke1–13-0.0425%17 Oct →
cache6–13-0.0329%26 Sept →
nuke3–13-0.098%26 Sept →
inferno3–13-0.0711%26 Sept →
inferno8–130.0118%7 Sept →
nuke13–11-0.0119%29 Aug →
dust213–10-0.0920%29 Aug →
nuke13–8-0.0710%16 Aug →
dust21–13-0.0925%2 Aug →
mirage4–13-0.075%2 Aug →
inferno13–40.0216%10 Jul →
dust210–13-0.0426%10 Jul →
cache13–40.0431%10 Jul →
cache13–60.049%27 Jun →
inferno1–13-0.0213%20 Jun →
cache11–13-0.068%19 Jun →
dust213–6-0.0325%19 Jun →
inferno13–9-0.047%19 Jun →
dust27–13-0.0926%13 Jun →
dust27–13-0.0620%13 Jun →
ancient2–13-0.1019%13 Jun →
dust23–13-0.0420%5 Jun →
nuke6–130.0216%23 May →
dust21–13-0.0825%22 May →
anubis3–13-0.0519%22 May →
cache13–11-0.017%22 May →
cache11–13-0.0520%15 May →
cache13–10-0.0311%30 Apr →
cache12–12-0.0522%30 Apr →
anubis14–16-0.0616%18 Apr →
mirage9–13-0.0619%18 Apr →
dust28–13-0.0713%18 Apr →
anubis8–13-0.0415%18 Apr →
inferno11–13-0.0237%17 Apr →
dust213–60.0019%17 Apr →
dust213–10-0.0622%11 Apr →
inferno13–11-0.0017%11 Apr →
dust24–13-0.0716%21 Mar →
nuke11–13-0.0720%21 Mar →
nuke13–10.0015%21 Mar →
nuke10–13-0.078%21 Mar →
inferno8–13-0.0324%21 Mar →
anubis8–13-0.057%21 Mar →
nuke8–13-0.0311%21 Mar →
overpass3–13-0.0514%21 Feb →
nuke1–13-0.069%21 Feb →
dust28–13-0.0615%21 Feb →
dust24–13-0.0519%21 Feb →
anubis13–4-0.0723%20 Feb →
inferno16–13-0.0023%20 Feb →
anubis8–13-0.0121%20 Feb →
dust212–16-0.0715%30 Jan →
nuke13–7-0.0524%30 Jan →
nuke10–13-0.0511%11 Jan →
dust26–13-0.049%10 Jan →
dust29–13-0.0616%22 Oct →
nuke13–5-0.0214%16 Oct →
dust212–12-0.0618%15 Oct →
inferno13–9-0.0126%27 Sept →
overpass13–80.0325%27 Sept →
nuke5–13-0.0719%27 Sept →
dust26–13-0.0412%27 Sept →
train2–13-0.0322%27 Sept →
nuke16–14-0.0016%27 Sept →
overpass14–16-0.1113%20 Sept →
train2–13-0.0814%20 Sept →
dust213–7-0.0717%20 Sept →
mirage8–13-0.0017%20 Sept →
inferno7–13-0.0313%12 Sept →
dust29–0-0.0120%12 Sept →
nuke13–100.0116%12 Sept →
nuke12–12-0.0014%6 Sept →
nuke3–13-0.1020%16 Aug →
nuke13–10.0430%11 Aug →
nuke13–6-0.0226%3 Aug →
nuke0–13-0.087%20 Jun →
dust24–13-0.0313%14 Jun →
nuke9–13-0.0219%14 Jun →
anubis11–13-0.0719%14 Jun →
inferno7–1-0.0427%14 Jun →
dust26–13-0.0613%6 Jun →
nuke9–13-0.0519%6 Jun →
mirage6–13-0.0410%6 Jun →
nuke10–13-0.0211%6 Jun →
nuke13–10-0.0714%24 May →
train5–13-0.0611%24 May →
mirage10–13-0.0119%24 May →
jura5–13-0.109%10 May →
grail13–50.0017%9 May →
nuke13–11-0.0528%3 May →
dust29–13-0.0022%2 May →
italy8–13-0.0613%2 May →
edin2–13-0.0816%2 May →
nuke3–13-0.0114%2 May →
mirage13–10-0.0818%1 May →
overpass12–120.0112%30 Apr →
nuke11–130.0221%30 Apr →
dust22–13-0.0415%26 Apr →

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 →

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