hosebei

hosebei — CS2 Stats

CH76561197964909051[U:1:4643323]Steam profile ↗✓ No bans

2,647Tracked matches59%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating6,950Light Blue band · top ~69.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+737Premier CS Rating · 6,213 → 6,950

Rating over time

Premier CS Rating: 6,950 +69 21 Aug – 2 Oct · 21 days played
4,1596,950peak 6,95021 Aug2 Oct
7,208Peak Premier in tracked matches
25Days played since 2026-08-21

Premier CS Rating

  • At peak — 6,950
  • +1,549 over 30 days · improving
  • Next: Blue band at 10,000 — 3,050 to go
  • Reached: 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.GGhosebeiFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,950 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning64
Utility57

0–100 skill scores via Leetify.

Recent form

HOT45–51–4Last 10045%Win rateWWWWLWLWLW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −1.4pp headshot accuracy · −17ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 11%
  • Avg reaction 574ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 601ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 609ms

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 (+1.1 against its own average).

Aim4.2
Utility5.7
Positioning6.4
Opening Duels3.7

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

jL

Plays most like jL 65% 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. 631ms 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
Positioning6.4
Utility5.7
Mechanics5.1
Opening Duels5.5
Win Impact7.9

Composite 5.0/10 (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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time619ms−35ms
first ⅓ avg 654ms → last ⅓ avg 619ms
Headshot accuracy11.9%−2.1%
first ⅓ avg 14.0% → last ⅓ avg 11.9%

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

0.17Best match rating · 10–13 · mirage, 22 Aug →
43%Best headshot accuracy · 13–2 · anubis, 10 Sept →
500msFastest reaction time · 13–4 · nuke, 20 Sept →
13–2Biggest win · dust2, 17 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
6–14In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 58% over 19infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C2510–1540%-0.02
nukeA1911–858%0.01
infernoC176–1135%-0.03
ancientC125–742%-0.00
cacheC114–736%-0.00
anubisA95–456%-0.02
mirageA74–357%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
29%Win rate
0.83Avg K/D
—ADR
26%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Overpass10%0.294.0
Inferno10%0.7112.0

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.

12.6%Headshot accuracy
35.1%Accuracy (enemy spotted)
34.9%Spray accuracy
72.9%Counter-strafing
12.8°Preaim
631msReaction time
56.2%T opening success
47.4%CT opening success
0.53Enemies flashed / flash
10.2%Flash assists
9.57HE damage / grenade
4.50Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8035° — above the 12° mark we flag

    Aim Training →
  2. 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 12.6181% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–7-0.015%2 Oct →
anubis13–40.0912%1 Oct →
mirage13–90.1111%1 Oct →
mirage13–70.0313%30 Sept →
inferno4–130.0213%30 Sept →
cache13–11-0.0215%30 Sept →
dust210–130.0211%30 Sept →
dust213–4-0.069%29 Sept →
nuke9–130.0013%29 Sept →
ancient13–60.0014%28 Sept →
anubis5–13-0.0711%28 Sept →
dust211–13-0.0416%28 Sept →
dust213–110.0321%27 Sept →
mirage12–160.008%27 Sept →
mirage13–9-0.028%27 Sept →
cache8–13-0.0411%25 Sept →
nuke11–130.0013%25 Sept →
dust210–130.0110%25 Sept →
dust213–60.0111%25 Sept →
inferno11–13-0.0321%20 Sept →
nuke13–40.0614%20 Sept →
cache13–70.068%20 Sept →
dust28–13-0.0815%20 Sept →
anubis11–13-0.0111%18 Sept →
dust213–4-0.0317%18 Sept →
inferno13–5-0.069%18 Sept →
cache12–120.0019%18 Sept →
nuke16–120.1217%17 Sept →
inferno13–6-0.078%17 Sept →
dust213–20.078%17 Sept →
dust22–13-0.068%17 Sept →
nuke13–110.0012%16 Sept →
anubis0–13-0.070%16 Sept →
ancient3–13-0.0911%16 Sept →
nuke13–100.0416%14 Sept →
dust213–11-0.0223%13 Sept →
nuke13–20.0112%13 Sept →
inferno11–13-0.1121%12 Sept →
nuke11–13-0.0823%10 Sept →
inferno11–13-0.085%10 Sept →
dust213–3-0.0417%10 Sept →
anubis13–20.0243%10 Sept →
cache9–130.0222%10 Sept →
inferno6–130.0216%7 Sept →
ancient13–70.0924%7 Sept →
ancient13–100.0719%7 Sept →
dust213–50.0314%7 Sept →
dust27–13-0.1218%7 Sept →
dust27–13-0.0221%6 Sept →
ancient8–130.0321%6 Sept →
cache11–13-0.0126%6 Sept →
anubis11–13-0.0523%5 Sept →
ancient12–16-0.039%5 Sept →
inferno11–13-0.049%5 Sept →
inferno13–11-0.0020%30 Aug →
nuke13–6-0.0712%30 Aug →
dust212–120.0126%30 Aug →
nuke13–60.1420%30 Aug →
dust213–7-0.0911%30 Aug →
dust22–13-0.0215%30 Aug →
anubis13–10-0.086%29 Aug →
dust210–13-0.0529%29 Aug →
cache13–80.047%29 Aug →
inferno13–5-0.0313%29 Aug →
ancient10–13-0.0214%29 Aug →
nuke13–10-0.0113%29 Aug →
inferno5–13-0.0015%29 Aug →
mirage8–00.144%29 Aug →
inferno8–13-0.0214%29 Aug →
ancient9–13-0.018%27 Aug →
nuke4–13-0.0712%27 Aug →
anubis13–9-0.0417%27 Aug →
cache3–13-0.0014%27 Aug →
inferno14–16-0.0215%27 Aug →
inferno10–130.0013%27 Aug →
nuke11–130.029%27 Aug →
dust211–130.0019%27 Aug →
inferno0–13-0.0916%26 Aug →
nuke12–160.0110%26 Aug →
dust213–90.0019%26 Aug →
inferno13–11-0.0411%26 Aug →
cache9–13-0.0014%26 Aug →
dust214–160.0522%26 Aug →
ancient13–40.028%26 Aug →
nuke7–130.0816%26 Aug →
dust212–12-0.0715%23 Aug →
nuke13–100.038%23 Aug →
ancient8–13-0.0217%22 Aug →
mirage7–130.0316%22 Aug →
nuke13–80.0516%22 Aug →
ancient13–90.0118%22 Aug →
ancient6–13-0.0614%22 Aug →
nuke9–13-0.0921%22 Aug →
cache6–13-0.0815%22 Aug →
dust212–16-0.0316%22 Aug →
mirage10–130.1712%22 Aug →
nuke13–9-0.0019%22 Aug →
anubis13–6-0.0010%21 Aug →
inferno13–100.0316%21 Aug →
dust215–15-0.0513%21 Aug →

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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