Hongan soturi — CS2 Stats

76561199352583036[U:1:1392317308]✓ No bans

435Tracked matches46%Win rate2022Tracked since
1,260Hours in CS17Hrs last 2 wks
CSDB Rating4.7 DevelopingHybrid Rifler
Premier CS Rating11,942Blue band · top ~44.6% of ranked players (population est.)
CSDB Leaderboard#34823 of 50776 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 rate36.6%41.2%42.2%5.6% short
Shot accuracy10.2%12.5%11.9%1.7% short
Kill/death ratio0.890.960.980.08 short
Match win rate36.7%42.8%43.6%6.8% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Match win rate. 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.GGHongan soturiFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,942 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning46
Utility40

0–100 skill scores via Leetify.

Recent form

COLD47485Last 10047%Win rateTLWLLLLLWT

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

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

Aim6.5
Aggression6.4
Utility4.0
Positioning4.6
Opening Duels3.0
Clutch4.8

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 85% playstyle similarity

Most alike: opening-fight frequency, 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. 581ms 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

Aim6.5
Positioning4.6
Utility4.0
Mechanics5.5
Opening Duels3.0
Win Impact3.8

Composite 4.7/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time585ms−80ms
first ⅓ avg 666ms → last ⅓ avg 585ms
Headshot accuracy15.6%+2.4%
first ⅓ avg 13.2% → last ⅓ avg 15.6%

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

0.19Best rating — nuke 9–5
130Biggest win — office
5Longest win streak
45In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 65% over 17ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeD2481633%-0.02
mirageB23111248%-0.01
cacheS1711665%-0.01
infernoC156940%-0.02
ancientD72529%-0.04
dust2440100%0.03
vertigo42250%0.05
office32167%0.05
train21150%0.05
overpass1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,632Lifetime kills
0.89K/D
1,882Matches
36.7%Match win rate
36.6%Headshot %
10.2%Shot accuracy
3,584MVPs
579Hours (in match)
1,100Bombs planted
461Bombs defused

Most-used weapons

Lifetime map wins

3,373nuke
2,419inferno
1,334vertigo
645dust2
518lake
255train
195office
58cbble

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

Faceit stats

Combat

26Matches
35%Win rate
0.94Avg K/D
74.9ADR
40%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%1.0211.7
Nuke838%1.0514.9
Dust2333%0.5911.0
Inferno250%1.0814.5
Train10%0.7112.0
Anubis10%0.508.0
Vertigo10%0.609.0

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.

16.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
32.4%Spray accuracy
74.6%Counter-strafing
8.0°Preaim
581msReaction time
36.7%T opening success
47.5%CT opening success
0.43Enemies flashed / flash
4.1%Flash assists
7.24HE damage / grenade
6.75Flashes / 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 0.4316 — 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 36.6592% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke8–80.0716%29 Aug
nuke3–13-0.018%29 Aug
cache13–30.1321%29 Aug
overpass7–13-0.0220%27 Aug
nuke4–13-0.0320%27 Aug
inferno14–16-0.0320%24 Aug
ancient3–13-0.0718%24 Aug
cache11–130.0219%19 Aug
inferno13–5-0.0223%19 Aug
mirage15–150.0023%18 Aug
ancient13–7-0.0312%18 Aug
train0–130.0016%17 Aug
mirage13–50.0623%17 Aug
cache7–130.0613%16 Aug
inferno13–10-0.0325%15 Aug
dust213–7-0.0322%12 Aug
train13–40.095%12 Aug
mirage13–9-0.0315%12 Aug
inferno2–130.0217%11 Aug
mirage1–13-0.083%10 Aug
nuke9–13-0.097%7 Aug
nuke7–13-0.0814%6 Aug
dust213–90.0114%6 Aug
inferno12–12-0.076%5 Aug
nuke13–30.0814%4 Aug
office13–00.1411%4 Aug
cache13–40.0118%4 Aug
vertigo13–110.0515%4 Aug
inferno4–13-0.0217%4 Aug
nuke7–130.0117%3 Aug
office1–11-0.0417%2 Aug
vertigo12–120.0418%2 Aug
ancient8–13-0.048%1 Aug
vertigo7–130.0118%31 Jul
inferno11–13-0.0526%31 Jul
mirage13–40.0226%31 Jul
cache3–13-0.0913%31 Jul
vertigo9–70.1017%31 Jul
ancient9–13-0.0621%30 Jul
inferno9–30.0614%30 Jul
nuke4–9-0.0821%30 Jul
mirage0–13-0.0810%30 Jul
mirage4–13-0.0243%29 Jul
dust213–50.0421%29 Jul
mirage4–130.0110%29 Jul
nuke7–9-0.0711%29 Jul
cache16–130.0524%29 Jul
nuke13–50.0115%28 Jul
ancient9–13-0.039%28 Jul
mirage9–13-0.0817%28 Jul
ancient11–13-0.0411%28 Jul
nuke13–10-0.0011%28 Jul
mirage16–13-0.0222%27 Jul
nuke4–13-0.073%27 Jul
dust213–80.1218%27 Jul
inferno2–5-0.0810%27 Jul
ancient16–13-0.0016%27 Jul
mirage3–130.0219%27 Jul
inferno13–40.0113%27 Jul
mirage13–10-0.019%26 Jul
nuke6–13-0.110%25 Jul
cache1–90.0121%25 Jul
mirage6–13-0.0214%25 Jul
nuke13–60.0114%25 Jul
mirage13–50.0914%25 Jul
mirage13–5-0.0411%25 Jul
inferno2–13-0.0822%25 Jul
mirage10–13-0.063%25 Jul
nuke13–16-0.0517%24 Jul
mirage13–11-0.0316%24 Jul
nuke12–120.047%8 Jul
nuke2–9-0.244%8 Jul
cache13–6-0.070%7 Jul
mirage13–6-0.0416%23 Jun
mirage5–13-0.0715%14 Jun
nuke9–50.1912%3 Jun
mirage9–130.0211%2 Jun
nuke10–13-0.0015%30 May
inferno4–13-0.105%29 May
nuke13–5-0.0414%28 May
nuke13–20.1719%27 May
cache13–2-0.0410%26 May
office13–50.0623%26 May
inferno13–20.0817%25 May
inferno9–13-0.064%22 May
cache13–3-0.055%21 May
nuke8–13-0.0217%21 May
nuke13–80.009%20 May
inferno13–110.1115%20 May
cache5–13-0.0526%18 May
cache13–6-0.0525%17 May
cache13–4-0.068%17 May
nuke9–13-0.0615%17 May
mirage13–5-0.008%16 May
mirage13–60.0427%14 May
cache13–8-0.0312%13 May
mirage5–130.0521%12 May
cache13–7-0.049%11 May
cache13–00.049%11 May
cache10–130.0324%11 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 →