Hansen

Hansen — CS2 Stats

DK76561199375171073[U:1:1414905345]Steam profile ↗✓ No bans

795Tracked matches52%Win rate2022Tracked since
640Hours in CS
CSDB Rating5.2 DevelopingAll-Rounder
Premier CS Rating12,628Blue band · top ~41% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 795 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 23 days played since 25 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,628 +2,074 25 Jul7 Sept · 18 days played
9,89112,934peak 12,93425 Jul7 Sept
13,316Peak Premier in tracked matches
23Days played since 2026-07-25

Premier CS Rating

  • 306 below peak (12,934)
  • +318 over 30 days · steady
  • Next: Purple band at 15,000 2,372 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-07
  • Light Blue band first seen 2026-09-07

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,197), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate73.4%41.3%41.9%above
Shot accuracy4.3%12.7%12.2%7.9% short
Kill/death ratio1.300.960.98above
Match win rate38.1%42.5%43.3%5.2% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHansenFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER12,628 · 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

Aim74
Positioning40
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateWLLLWLWWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.0pp headshot accuracy · +13ms 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

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 660ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 606ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 600ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim7.4
Utility3.9
Positioning4.0
Opening Duels3.3

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

iM

Plays most like iM 90% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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 50% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim7.4
Positioning4.0
Utility3.9
Mechanics7.2
Opening Duels2.4
Win Impact5.6

Composite 5.2/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time623ms−43ms
first ⅓ avg 666ms → last ⅓ avg 623ms
Headshot accuracy21.0%−0.8%
first ⅓ avg 21.8% → last ⅓ avg 21.0%

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

0.10Best match rating · 13–4 · inferno, 4 Aug
45%Best headshot accuracy · 8–4 · inferno, 12 Aug
438msFastest reaction time · 8–13 · inferno, 13 Aug
13–2Biggest win · mirage, 8 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
97In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 67% over 15anubisWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC34142041%-0.03
cacheA1710759%-0.01
ancientS1510567%-0.03
infernoB137654%0.01
anubisC104640%-0.02
dust2C52340%-0.04
vertigo41325%0.01
nuke21150%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,162Lifetime kills
1.30K/D · Top 10% of Level 2 players
1,208Matches
38.1%Match win rate
73.4%Headshot % · Top 1% of Level 2 players
4.3%Shot accuracy
2,069MVPs
640Hours (in match)
332Bombs planted
175Bombs defused

Most-used weapons

Lifetime map wins

1,915inferno
969vertigo
642dust2
555nuke
142train
21office
13cbble
1ar_shoots

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.

20.9%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.5%Spray accuracy
82.2%Counter-strafing
9.7°Preaim
612msReaction time
24.8%T opening success
49.5%CT opening success
0.67Enemies flashed / flash
1.8%Flash assists
8.90HE damage / grenade
4.52Flashes / 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

    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 24.8476% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–60.0028%17 Aug
anubis8–13-0.0810%17 Aug
cache11–13-0.0219%16 Aug
cache10–13-0.0226%16 Aug
ancient13–9-0.0618%15 Aug
inferno8–13-0.0433%14 Aug
anubis13–11-0.0517%14 Aug
anubis13–90.0021%14 Aug
inferno8–13-0.0519%13 Aug
inferno13–90.0629%13 Aug
mirage13–4-0.0319%13 Aug
cache13–40.0318%13 Aug
vertigo14–160.0414%12 Aug
dust212–16-0.0032%12 Aug
inferno8–4-0.0245%12 Aug
mirage7–13-0.0911%12 Aug
mirage4–13-0.1015%11 Aug
vertigo10–130.0215%11 Aug
vertigo9–13-0.0716%11 Aug
ancient13–7-0.0534%11 Aug
mirage15–150.0127%11 Aug
ancient13–110.0319%11 Aug
mirage13–4-0.0111%11 Aug
cache13–7-0.0313%11 Aug
mirage13–40.0218%11 Aug
dust27–13-0.0624%11 Aug
mirage5–13-0.0419%11 Aug
dust213–8-0.0910%10 Aug
vertigo13–110.0716%10 Aug
mirage7–13-0.0436%10 Aug
ancient4–13-0.0716%9 Aug
inferno6–13-0.0117%9 Aug
anubis11–13-0.0129%9 Aug
cache13–9-0.0327%9 Aug
mirage13–50.0117%8 Aug
inferno10–13-0.0725%8 Aug
cache13–7-0.0224%8 Aug
nuke13–4-0.0616%8 Aug
mirage13–11-0.1031%8 Aug
cache15–15-0.0420%8 Aug
mirage13–2-0.0614%8 Aug
ancient2–13-0.0511%7 Aug
mirage2–13-0.0418%6 Aug
anubis13–90.0520%6 Aug
ancient13–11-0.0517%6 Aug
cache2–13-0.0821%6 Aug
mirage7–13-0.0333%6 Aug
mirage3–13-0.0420%6 Aug
mirage11–13-0.0515%6 Aug
mirage11–130.0116%5 Aug
cache13–90.0113%5 Aug
cache15–150.0123%5 Aug
cache13–7-0.0122%5 Aug
mirage11–13-0.0416%4 Aug
ancient16–13-0.0416%4 Aug
ancient4–13-0.107%4 Aug
mirage16–12-0.0829%4 Aug
inferno13–40.1021%4 Aug
cache13–7-0.0125%4 Aug
mirage10–13-0.0129%4 Aug
inferno3–130.0233%3 Aug
cache13–110.0429%3 Aug
mirage13–80.0013%3 Aug
dust213–10-0.0319%3 Aug
mirage13–9-0.0120%3 Aug
mirage11–13-0.0320%3 Aug
mirage9–130.0115%3 Aug
anubis10–13-0.0119%3 Aug
mirage13–10-0.0719%2 Aug
mirage3–13-0.0613%2 Aug
mirage13–6-0.0616%2 Aug
inferno13–4-0.0022%2 Aug
anubis13–110.0626%1 Aug
cache6–130.0128%1 Aug
cache13–6-0.0424%1 Aug
mirage6–13-0.0517%1 Aug
mirage9–13-0.0922%31 Jul
ancient13–50.0120%30 Jul
anubis9–13-0.0614%30 Jul
ancient13–10-0.0227%29 Jul
ancient13–5-0.0813%29 Jul
inferno13–20.0223%29 Jul
cache3–130.0314%29 Jul
mirage4–13-0.0219%28 Jul
mirage13–5-0.0121%28 Jul
cache13–40.0120%28 Jul
anubis3–13-0.0515%28 Jul
mirage10–13-0.0123%28 Jul
inferno13–6-0.0032%26 Jul
inferno3–130.0634%26 Jul
ancient16–140.0823%26 Jul
ancient13–5-0.0521%26 Jul
mirage13–20.0831%26 Jul
dust20–13-0.0421%26 Jul
anubis10–13-0.0024%26 Jul
ancient9–13-0.0130%26 Jul
mirage13–11-0.0120%26 Jul
ancient15–15-0.0019%25 Jul
mirage4–13-0.0225%25 Jul
nuke9–13-0.0325%25 Jul

Match data via Leetify.

Recent teammates

Milestones

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