Hanhi

Hanhi — CS2 Stats

NO76561197960310715[U:1:44987]Steam profile ↗✓ No bans

1,460Tracked matches60%Win rate2020Tracked since
2,731Hours in CS6Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
FaceitLevel 6 · 1,382 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate46.5%44.8%45.7%meets
Shot accuracy11.0%12.4%12.7%1.7% short
Kill/death ratio0.901.031.050.16 short
Match win rate34.8%45.2%45.7%10.9% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHanhiFACEITLevel 6 · 1,382 ELOSTANDINGTop 54.0% 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

Aim43
Positioning61
Utility66

0–100 skill scores via Leetify.

Recent form

HOT48–52Last 10048%Win rateWLWLWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −1.7pp headshot accuracy · −59ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 547ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 577ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 606ms

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 (+1.7 against its own average).

Aim4.3
Utility6.6
Positioning6.1
Opening Duels2.6
Clutch4.2

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 61% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 609ms 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

Aim4.3
Positioning6.1
Utility6.6
Mechanics4.6
Opening Duels3.4
Win Impact8.3

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time608ms−33ms
first ⅓ avg 641ms → last ⅓ avg 608ms
Headshot accuracy12.7%+0.9%
first ⅓ avg 11.8% → last ⅓ avg 12.7%

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

0.08Best match rating · 10–13 · ancient, 30 Aug →
30%Best headshot accuracy · 9–13 · dust2, 18 Mar →
453msFastest reaction time · 6–13 · cache, 23 Jul →
13–1Biggest win · ancient, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
15–7In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 63% over 8mirageWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB2512–1348%-0.02
ancientB2311–1248%-0.01
dust2B199–1047%-0.03
cacheA85–363%-0.01
overpassB84–450%-0.03
anubisC73–443%-0.00
mirageC52–340%-0.02
inferno—32–167%0.01
train—20–20%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,325Lifetime kills
0.90K/D
2,773Matches
34.8%Match win rate
46.5%Headshot % · Top 50% of Level 6 players
11.0%Shot accuracy
4,272MVPs
1,183Hours (in match)
2,013Bombs planted
481Bombs defused

Most-used weapons

Lifetime map wins

4,497inferno
3,365nuke
2,503dust2
1,111vertigo
969train
262cbble
68lake
57office

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

Faceit stats

Combat

568Matches
49%Win rate
0.93Avg K/D
76.1ADR
36%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke9354%0.9014.7
Ancient7242%0.9415.9
Anubis5052%1.0416.9
Dust24342%0.8713.8
Mirage3650%0.9214.9
Train2955%1.0415.6
Inferno2854%1.1115.4
Overpass2348%0.8715.3

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.

12.8%Headshot accuracy
33.2%Accuracy (enemy spotted)
34.0%Spray accuracy
70.6%Counter-strafing
11.8°Preaim
609msReaction time
39.7%T opening success
47.2%CT opening success
0.70Enemies flashed / flash
6.5%Flash assists
10.52HE damage / grenade
11.64Flashes / 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 12.8465% — below the 15% mark we flag

    Aim Training →
  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 39.712% — below the 40% mark we flag

Spend your practice time on Mirage

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 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke22–20-0.017%29 Oct →
cache11–130.0218%29 Oct →
ancient13–20.0112%27 Oct →
nuke6–13-0.0412%27 Oct →
nuke13–8-0.0310%25 Oct →
mirage13–110.0111%25 Oct →
ancient13–10.0713%25 Oct →
nuke13–10-0.0314%10 Oct →
ancient8–13-0.0414%10 Oct →
cache13–7-0.0113%27 Sept →
ancient11–130.0025%27 Sept →
ancient13–10-0.018%22 Sept →
inferno13–70.0112%22 Sept →
dust213–9-0.057%13 Sept →
nuke13–3-0.0111%13 Sept →
dust27–13-0.067%12 Sept →
ancient4–13-0.0417%12 Sept →
mirage0–13-0.0921%12 Sept →
cache13–10-0.0315%6 Sept →
dust213–8-0.0619%6 Sept →
nuke13–11-0.0414%6 Sept →
mirage8–13-0.0414%1 Sept →
cache13–60.0514%1 Sept →
ancient10–130.0817%30 Aug →
nuke9–130.0111%30 Aug →
nuke14–16-0.0711%28 Aug →
cache16–14-0.017%28 Aug →
cache8–13-0.0716%25 Aug →
anubis13–90.0615%16 Aug →
cache13–1-0.0010%16 Aug →
nuke6–13-0.0211%5 Aug →
ancient8–13-0.043%5 Aug →
ancient16–13-0.029%23 Jul →
cache6–13-0.0414%23 Jul →
nuke9–13-0.054%20 May →
overpass13–9-0.0511%11 May →
dust213–5-0.0115%11 May →
ancient13–70.0316%11 May →
nuke12–16-0.0311%26 Apr →
ancient13–20.0616%26 Apr →
anubis8–13-0.018%26 Apr →
ancient22–20-0.059%25 Apr →
nuke10–13-0.0113%25 Apr →
ancient13–16-0.0620%22 Apr →
dust27–13-0.0811%22 Apr →
nuke16–140.0116%17 Apr →
dust211–130.0212%17 Apr →
dust213–80.076%13 Apr →
ancient13–8-0.009%13 Apr →
nuke13–10-0.0312%12 Apr →
ancient12–16-0.028%12 Apr →
mirage13–10-0.0322%12 Apr →
ancient13–70.0011%6 Apr →
anubis10–13-0.036%22 Mar →
dust28–13-0.0622%22 Mar →
nuke14–16-0.0311%22 Mar →
dust29–130.0130%18 Mar →
overpass13–30.0314%18 Mar →
anubis13–110.0212%18 Mar →
mirage6–130.0213%15 Mar →
overpass9–13-0.0411%15 Mar →
ancient13–50.046%15 Mar →
nuke5–13-0.0613%15 Mar →
ancient13–80.037%12 Mar →
nuke11–13-0.024%12 Mar →
dust213–110.0612%8 Mar →
nuke13–10-0.0222%8 Mar →
anubis13–16-0.028%8 Mar →
nuke15–19-0.0716%6 Mar →
dust22–13-0.1018%1 Mar →
nuke11–13-0.0310%1 Mar →
dust213–8-0.0613%1 Mar →
overpass13–11-0.026%1 Feb →
dust27–13-0.0025%1 Feb →
dust27–13-0.0814%31 Jan →
nuke13–11-0.0312%31 Jan →
anubis6–13-0.037%31 Jan →
ancient7–13-0.0719%25 Jan →
nuke16–140.0011%25 Jan →
overpass7–13-0.066%18 Jan →
anubis13–5-0.027%18 Jan →
dust213–9-0.0313%18 Jan →
ancient4–13-0.077%17 Jan →
inferno8–130.054%7 Jan →
ancient19–22-0.029%4 Jan →
ancient9–13-0.089%4 Jan →
nuke9–13-0.027%4 Jan →
ancient4–13-0.063%29 Dec →
nuke13–100.049%29 Dec →
overpass16–14-0.0215%22 Dec →
dust216–14-0.0218%22 Dec →
train10–13-0.065%21 Dec →
dust213–3-0.0318%21 Dec →
nuke16–14-0.0112%21 Dec →
overpass2–13-0.0515%20 Dec →
dust25–13-0.0514%20 Dec →
train2–13-0.0823%20 Dec →
overpass8–13-0.049%15 Dec →
dust27–13-0.0212%15 Dec →
inferno13–11-0.0413%15 Dec →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.