Hanfjunge23

Hanfjunge23 — CS2 Stats

76561198048618958[U:1:88353230]Steam profile ↗✓ No bans

1,178Tracked matches39%Win rate2021Tracked since
2,422Hours in CS32Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating10,086Blue band · top ~54.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (3 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

Premier CS Rating: 10,086 +999 26 Sept – 30 Oct · 21 days played
8,09811,000peak 11,00026 Sept30 Oct
11,266Peak Premier in tracked matches
24Days played since 2026-09-26

Premier CS Rating

  • 914 below peak (11,000)
  • +1,227 over 30 days · improving
  • Next: Purple band at 15,000 — 4,914 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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate37.2%41.8%42.7%5.5% short
Shot accuracy17.0%12.2%11.2%above
Kill/death ratio0.950.980.990.04 short
Match win rate35.4%43.3%43.9%8.5% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHanfjunge23FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,086 · 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

Aim42
Positioning61
Utility11

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateTLLLWLLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +3.6pp headshot accuracy · 0ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 649ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 630ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 630ms

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 (+2.7 against its own average).

Aim4.2
Utility1.1
Positioning6.1
Opening Duels4.0
Clutch2.6

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

s1mple

Plays most like s1mple 71% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 76% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 76% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 640ms 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

Aim4.2
Positioning6.1
Utility1.1
Mechanics6.6
Opening Duels7.6
Win Impact1.4

Composite 4.3/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time628ms+33ms
first ⅓ avg 594ms → last ⅓ avg 628ms
Headshot accuracy12.8%−1.2%
first ⅓ avg 14.0% → last ⅓ avg 12.8%

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

0.19Best match rating · 8–13 · inferno, 21 Oct →
27%Best headshot accuracy · 13–7 · cache, 26 Sept →
430msFastest reaction time · 13–4 · vertigo, 4 Oct →
13–1Biggest win · dust2, 26 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 80% over 10nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientB199–1047%0.00
mirageC187–1139%-0.02
infernoB178–947%0.03
anubisB136–746%-0.00
cacheB105–550%-0.02
dust2S108–280%0.03
nukeD51–420%0.02
train—32–167%-0.05
overpass—21–150%-0.05
vertigo—22–0100%-0.01
office—10–10%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,395Lifetime kills
0.95K/D
6,110Matches
35.4%Match win rate
37.2%Headshot %
17.0%Shot accuracy · Top 25% of Level 3 players
9,434MVPs
1,522Hours (in match)
1,697Bombs planted
433Bombs defused

Most-used weapons

AK-4716,059
P9014,422
Nova5,018
MAC-104,051
MP72,693
Negev2,493
XM10142,301

Lifetime map wins

10,631inferno
2,322dust2
2,068nuke
1,693cbble
1,279vertigo
1,120office
709train
706lake

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

Faceit stats

Combat

18Matches
33%Win rate
0.90Avg K/D
91.9ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis60%0.8015.0
Nuke450%0.8816.5
Ancient333%0.9314.7
Vertigo250%0.8419.0
Mirage1100%1.1919.0
Inferno1100%1.7925.0
Dust210%0.356.0

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.

12.7%Headshot accuracy
29.5%Accuracy (enemy spotted)
33.6%Spray accuracy
79.9%Counter-strafing
11.4°Preaim
640msReaction time
76.4%T opening success
50.8%CT opening success
0.04Enemies flashed / flash
1.3%Flash assists
8.35HE damage / grenade
0.59Flashes / 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 12.6728% — 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 0.0397 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache15–150.0216%30 Oct →
inferno10–130.0118%30 Oct →
ancient7–13-0.108%30 Oct →
anubis5–13-0.0313%29 Oct →
anubis13–4-0.0223%28 Oct →
ancient3–13-0.1011%28 Oct →
nuke4–13-0.0312%28 Oct →
dust211–13-0.046%28 Oct →
inferno13–11-0.0014%28 Oct →
nuke8–13-0.0121%28 Oct →
mirage2–13-0.0711%28 Oct →
office4–130.0115%28 Oct →
ancient8–13-0.0211%27 Oct →
cache10–13-0.0512%27 Oct →
cache10–13-0.077%27 Oct →
dust213–60.1212%27 Oct →
cache12–12-0.0314%27 Oct →
anubis13–4-0.0111%26 Oct →
inferno11–13-0.1110%26 Oct →
mirage13–7-0.023%26 Oct →
dust213–10.0215%26 Oct →
mirage4–30.0020%26 Oct →
ancient9–130.0013%26 Oct →
mirage6–13-0.019%26 Oct →
dust213–10-0.068%25 Oct →
inferno7–13-0.0612%25 Oct →
cache6–13-0.0514%25 Oct →
inferno13–100.0415%24 Oct →
ancient13–110.0117%23 Oct →
ancient13–50.0218%23 Oct →
dust213–90.0912%23 Oct →
inferno9–130.077%23 Oct →
anubis13–80.0419%23 Oct →
dust21–7-0.017%23 Oct →
mirage13–8-0.0618%22 Oct →
train13–11-0.0512%22 Oct →
anubis13–60.1023%22 Oct →
ancient13–80.0319%22 Oct →
ancient7–130.0413%22 Oct →
mirage15–15-0.0112%22 Oct →
nuke13–20.0921%21 Oct →
mirage10–130.0120%21 Oct →
inferno8–130.1913%21 Oct →
inferno13–110.0217%21 Oct →
nuke7–130.027%15 Oct →
ancient2–13-0.0126%15 Oct →
anubis4–13-0.0213%15 Oct →
inferno12–120.0014%15 Oct →
ancient13–11-0.0611%11 Oct →
mirage8–13-0.0410%10 Oct →
mirage3–13-0.0711%10 Oct →
mirage16–14-0.036%9 Oct →
inferno13–60.0913%9 Oct →
ancient13–20.0614%9 Oct →
ancient13–160.0313%9 Oct →
cache13–60.0611%9 Oct →
ancient13–60.0419%9 Oct →
mirage6–13-0.0619%9 Oct →
inferno13–11-0.0112%8 Oct →
dust213–90.0913%7 Oct →
train13–8-0.0416%7 Oct →
anubis16–12-0.0312%7 Oct →
cache13–10-0.0210%7 Oct →
ancient8–130.0511%7 Oct →
mirage4–13-0.0217%7 Oct →
mirage4–8-0.0212%7 Oct →
anubis10–13-0.0710%7 Oct →
overpass10–13-0.057%6 Oct →
inferno13–20.0615%6 Oct →
dust213–110.048%6 Oct →
ancient16–130.048%6 Oct →
anubis13–90.0215%4 Oct →
mirage9–13-0.0114%4 Oct →
anubis1–13-0.0811%4 Oct →
ancient13–10-0.0610%4 Oct →
ancient13–8-0.017%4 Oct →
overpass13–10-0.058%4 Oct →
vertigo13–4-0.0410%4 Oct →
train4–13-0.0618%3 Oct →
anubis9–130.0212%3 Oct →
inferno8–130.0622%1 Oct →
inferno7–13-0.0318%30 Sept →
nuke4–130.0012%30 Sept →
mirage13–50.0917%30 Sept →
inferno13–90.047%30 Sept →
ancient14–160.0715%30 Sept →
ancient2–13-0.0111%30 Sept →
inferno4–130.0010%30 Sept →
dust213–110.0316%29 Sept →
dust213–7-0.0118%27 Sept →
anubis2–130.0411%27 Sept →
mirage2–13-0.0811%27 Sept →
cache13–110.0621%27 Sept →
mirage13–80.0015%27 Sept →
cache13–9-0.1412%27 Sept →
cache13–70.0627%26 Sept →
inferno13–80.0915%26 Sept →
mirage13–20.0415%26 Sept →
anubis6–13-0.0124%26 Sept →
vertigo13–30.0322%26 Sept →

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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