Erling Braut Haaland

Erling Braut Haaland — CS2 Stats

76561199055418824[U:1:1095153096]Steam profile ↗✓ No bans

309Tracked matches48%Win rate2021Tracked since
351Hours in CS0Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim63
Positioning54
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY47521Last 10047%Win rateLWWLLLLLWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression8.8
Utility1.2
Positioning5.4
Opening Duels4.3
Clutch0.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 61% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 647ms 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

Aim6.3
Positioning5.4
Utility1.2
Mechanics6.8
Opening Duels4.3
Win Impact4.4

Composite 5.0/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time639ms−45ms
first ⅓ avg 685ms → last ⅓ avg 639ms
Headshot accuracy22.4%−4.1%
first ⅓ avg 26.5% → last ⅓ avg 22.4%

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.

Highlights

0.14Best rating — train 10–13
130Biggest win — ancient
4Longest win streak
69In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 67% over 24infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC32122038%-0.01
nukeS2416867%-0.01
dust2C156940%-0.01
ancientA106460%-0.00
infernoD71614%-0.02
trainD62433%0.02
anubis220100%-0.01
jura21150%-0.03
overpass110100%0.04
agency1010%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

6,526Lifetime kills
0.70K/D
496Matches
35.5%Match win rate
48.7%Headshot % · Top 50% of tracked players
3.0%Shot accuracy
644MVPs
162Hours (in match)
247Bombs planted
55Bombs defused

Most-used weapons

Lifetime map wins

1,141nuke
332dust2
294vertigo
237inferno
60train
2italy
2ar_shoots

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

Faceit stats

Combat

1Matches
0%Win rate
0.71Avg K/D
75.0ADR
75%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

24.5%Headshot accuracy
31.7%Accuracy (enemy spotted)
33.8%Spray accuracy
80.5%Counter-strafing
10.9°Preaim
647msReaction time
32.6%T opening success
61.5%CT opening success
0.47Enemies flashed / flash
3.3%Flash assists
3.12HE damage / grenade
6.27Flashes / 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 0.4682 — 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 32.5862% — below the 40% mark we flag

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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno2–13-0.0145%2 Feb
nuke13–10-0.0024%2 Feb
anubis13–40.0218%29 Jan
mirage11–13-0.0331%29 Jan
nuke8–13-0.0345%29 Jan
mirage8–13-0.0417%29 Jan
mirage9–13-0.0619%11 Nov
nuke7–13-0.0830%4 Nov
nuke13–9-0.048%4 Nov
nuke13–80.0026%9 Sept
dust29–13-0.0223%19 Aug
nuke5–2-0.026%19 Aug
dust213–40.0511%19 Aug
ancient11–130.0135%10 Aug
inferno13–20.0240%10 Aug
mirage10–130.069%3 Aug
mirage10–13-0.0229%30 Jul
train10–130.1427%30 Jul
jura13–80.0622%30 Jul
jura0–9-0.110%30 Jul
nuke13–10-0.0733%27 Jul
dust213–16-0.0336%25 Jul
ancient11–13-0.0029%25 Jul
train13–70.0219%17 Jul
train12–120.0329%16 Jul
overpass13–80.0426%16 Jul
dust210–130.0024%12 Jul
nuke13–100.0121%11 Jul
mirage13–6-0.068%2 Jul
mirage13–8-0.0221%1 Jul
dust27–13-0.0615%1 Jul
nuke4–10.040%28 Jun
inferno11–13-0.0417%25 Jun
nuke4–13-0.0324%25 Jun
inferno14–16-0.0119%25 Jun
mirage13–100.0022%24 Jun
nuke13–110.0334%23 Jun
nuke13–70.0326%23 Jun
mirage9–13-0.0633%23 Jun
nuke13–110.0623%23 Jun
mirage0–13-0.0619%22 Jun
mirage6–130.0416%21 Jun
dust213–40.0230%19 Jun
dust24–13-0.0713%19 Jun
nuke13–30.0743%18 Jun
mirage7–13-0.0523%18 Jun
dust26–13-0.0416%18 Jun
anubis16–14-0.0421%17 Jun
inferno9–13-0.0022%14 Jun
nuke9–13-0.0723%14 Jun
mirage13–11-0.0328%14 Jun
dust213–80.0319%12 Jun
mirage13–7-0.0345%11 Jun
mirage13–70.0724%11 Jun
mirage3–11-0.0241%11 Jun
mirage3–13-0.0421%11 Jun
agency10–13-0.0523%11 Jun
train3–13-0.0530%10 Jun
dust29–13-0.0416%10 Jun
dust216–13-0.0237%10 Jun
nuke13–50.0630%9 Jun
ancient13–20.0517%9 Jun
mirage11–13-0.0236%9 Jun
ancient16–120.0219%9 Jun
mirage10–130.0835%8 Jun
mirage5–13-0.0022%8 Jun
inferno9–13-0.0428%8 Jun
ancient11–13-0.0521%7 Jun
nuke10–13-0.0110%7 Jun
mirage8–13-0.0117%7 Jun
ancient13–00.1150%7 Jun
mirage4–13-0.0626%7 Jun
nuke1–13-0.0139%7 Jun
ancient13–8-0.0119%7 Jun
mirage10–13-0.0419%7 Jun
nuke13–9-0.0120%6 Jun
dust213–60.0124%6 Jun
nuke13–20.0427%6 Jun
ancient6–13-0.0711%5 Jun
mirage13–100.0115%5 Jun
train6–13-0.0118%5 Jun
mirage11–13-0.0220%5 Jun
ancient13–11-0.0226%4 Jun
nuke11–13-0.0322%4 Jun
inferno1–13-0.0367%3 Jun
dust23–130.0133%3 Jun
mirage0–13-0.0638%2 Jun
ancient13–10-0.0734%2 Jun
mirage13–90.0919%2 Jun
dust213–10-0.0326%1 Jun
mirage7–130.0333%1 Jun
dust26–13-0.0341%1 Jun
train13–9-0.0230%30 May
mirage13–40.0216%30 May
mirage13–40.0027%29 May
mirage13–5-0.0615%29 May
nuke9–13-0.0722%29 May
mirage13–4-0.0541%29 May
nuke13–10-0.0124%28 May
nuke13–11-0.0026%27 May

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 →