Hasselhoff

Hasselhoff — CS2 Stats

76561198004567625[U:1:44301897]Steam profile ↗✓ No bans

193Tracked matches81%Win rate2022Tracked since
CSDB Rating5.7 SolidAll-Rounder
Premier CS Rating10,662Blue band · top ~51.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Jul 2026 (101 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

10,662Peak Premier in tracked matches
18Days played since 2026-07-22

Premier CS Rating

  • At peak — 10,662
  • Next: Purple band at 15,000 — 4,338 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.

Share this profile

CSDB.GGHasselhoffPREMIER10,662 · Blue 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

Aim68
Positioning47
Utility51

0–100 skill scores via Leetify.

Recent form

HOT59–32–9Last 10059%Win rateLWWWWWWLWT

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.4pp headshot accuracy · −11ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 589ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 564ms

Last 20

  • 13–4–3 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 570ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.8
Utility5.1
Positioning4.7
Opening Duels3.5

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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. 572ms 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

Aim6.8
Positioning4.7
Utility5.1
Mechanics6.2
Opening Duels3.4
Win Impact10.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time573ms−26ms
first ⅓ avg 599ms → last ⅓ avg 573ms
Headshot accuracy16.8%−0.3%
first ⅓ avg 17.1% → last ⅓ avg 16.8%

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

0.27Best match rating · 11–0 · overpass, 11 Aug →
37%Best headshot accuracy · 13–1 · nuke, 26 Jul →
406msFastest reaction time · 6–13 · anubis, 30 Jul →
13–0Biggest win · dust2, 7 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 67% over 15mirageWeakest map · 50% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A1911–858%0.01
infernoA1610–663%0.04
mirageB168–850%0.02
cacheS1510–567%0.02
anubisB126–650%-0.00
nukeS96–367%0.06
ancientB84–450%-0.01
train—22–0100%0.01
overpass—21–150%0.11
vertigo—11–0100%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

17.0%Headshot accuracy
34.2%Accuracy (enemy spotted)
32.4%Spray accuracy
78.0%Counter-strafing
8.7°Preaim
572msReaction time
49.6%T opening success
37.7%CT opening success
0.57Enemies flashed / flash
6.9%Flash assists
10.71HE damage / grenade
3.23Flashes / 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

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

    Flashes per match 3.2294 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.6943% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0621%15 Aug →
dust213–30.0113%15 Aug →
cache13–70.0425%15 Aug →
nuke13–10.0613%15 Aug →
inferno13–110.0815%15 Aug →
mirage13–100.0819%15 Aug →
dust213–20.0310%15 Aug →
anubis7–10-0.0024%15 Aug →
dust213–60.0111%15 Aug →
ancient12–12-0.0315%15 Aug →
nuke13–40.0833%15 Aug →
cache12–120.0513%15 Aug →
mirage13–6-0.0114%15 Aug →
anubis7–10.0012%15 Aug →
nuke5–13-0.059%14 Aug →
ancient13–70.0714%14 Aug →
dust213–80.1317%14 Aug →
anubis6–13-0.0712%14 Aug →
inferno13–80.0714%14 Aug →
inferno12–120.0114%13 Aug →
train6–00.010%13 Aug →
train13–50.0120%13 Aug →
mirage9–13-0.0230%11 Aug →
anubis13–60.008%11 Aug →
inferno13–40.0819%11 Aug →
cache13–70.019%11 Aug →
overpass11–00.2727%11 Aug →
mirage13–50.0233%11 Aug →
dust212–12-0.0517%10 Aug →
mirage13–3-0.0122%10 Aug →
inferno7–130.0612%10 Aug →
inferno7–30.0223%9 Aug →
mirage13–100.0617%9 Aug →
dust29–13-0.0113%8 Aug →
mirage12–120.0123%8 Aug →
inferno9–130.0328%7 Aug →
inferno13–110.0629%7 Aug →
cache13–100.0021%7 Aug →
nuke13–10.2620%7 Aug →
inferno13–40.1013%7 Aug →
mirage13–70.0721%7 Aug →
dust213–00.0416%7 Aug →
anubis13–30.0714%7 Aug →
cache7–13-0.0214%7 Aug →
mirage6–130.0923%7 Aug →
inferno13–100.0616%7 Aug →
dust27–13-0.0910%7 Aug →
mirage3–13-0.120%2 Aug →
inferno6–13-0.0219%2 Aug →
cache13–100.0013%2 Aug →
dust213–40.1015%2 Aug →
inferno13–2-0.0323%1 Aug →
cache13–110.0320%1 Aug →
dust27–13-0.0024%1 Aug →
ancient12–120.0312%1 Aug →
anubis3–13-0.1213%1 Aug →
nuke13–50.0013%1 Aug →
anubis13–110.0310%1 Aug →
mirage13–30.0211%1 Aug →
mirage9–130.0419%31 Jul →
ancient2–13-0.0514%31 Jul →
anubis6–130.0117%30 Jul →
mirage7–13-0.0222%30 Jul →
cache6–13-0.0127%30 Jul →
ancient13–6-0.0613%30 Jul →
dust27–00.0217%30 Jul →
inferno9–13-0.0112%29 Jul →
inferno13–60.0218%29 Jul →
cache6–130.0022%29 Jul →
vertigo13–60.0820%29 Jul →
mirage13–10.0314%29 Jul →
dust213–4-0.0214%29 Jul →
cache13–30.0224%29 Jul →
nuke13–100.074%29 Jul →
anubis2–80.0214%28 Jul →
cache12–10.0218%28 Jul →
dust26–13-0.0416%28 Jul →
anubis13–70.0113%27 Jul →
dust213–30.0314%27 Jul →
cache13–20.1326%27 Jul →
dust213–70.0319%27 Jul →
nuke8–130.0423%27 Jul →
inferno13–30.1032%27 Jul →
anubis13–10.0613%27 Jul →
ancient13–60.0117%27 Jul →
mirage2–13-0.0217%26 Jul →
dust28–130.0119%26 Jul →
nuke13–10.0837%26 Jul →
cache12–12-0.0411%26 Jul →
cache13–50.0929%26 Jul →
ancient14–16-0.029%23 Jul →
dust28–13-0.0112%23 Jul →
inferno4–13-0.0112%23 Jul →
dust213–7-0.0318%23 Jul →
cache13–100.0313%23 Jul →
overpass10–13-0.0411%22 Jul →
nuke12–12-0.0310%22 Jul →
mirage11–130.0221%22 Jul →
dust212–12-0.0017%22 Jul →
ancient13–10-0.0111%22 Jul →

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.