H B

H B — CS2 Stats

PF76561198152030213[U:1:191764485]Steam profile ↗✓ No bans

271Tracked matches43%Win rate2020Tracked since
618Hours in CS2Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating16,008Purple band · top ~24.4% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

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

No change since then — still 271 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,008 +2,399 2 Jun – 7 Nov · 29 days played
13,60918,355peak 18,3552 Jun7 Nov
18,355Peak Premier in tracked matches
55Days played since 2026-06-02

Premier CS Rating

  • 2,347 below peak (18,355)
  • +233 over 30 days · steady
  • Next: Pink band at 20,000 — 3,992 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-10
  • Blue band first seen 2026-09-10

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 7 Nov 2026 and 14 Nov 2026.

Measured 7 Nov 2026 → 14 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.5%44.4%46.9%5.5% short
Shot accuracy9.9%11.9%13.0%3.1% short
Kill/death ratio1.081.031.08meets
Match win rate47.7%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGH BPREMIER16,008 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning52
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLLTLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +7.4pp headshot accuracy · −97ms reaction

Win rate up 20pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 477ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 502ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 551ms

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 (+2 against its own average).

Aim7.6
Utility5.6
Positioning5.2
Opening Duels0.0

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 81% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 560ms 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

Aim7.6
Positioning5.2
Utility5.6
Mechanics7.9
Opening Duels0.8
Win Impact2.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time546ms−46ms
first ⅓ avg 592ms → last ⅓ avg 546ms
Headshot accuracy12.1%−1.0%
first ⅓ avg 13.1% → last ⅓ avg 12.1%

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

0.21Best match rating · 13–7 · inferno, 27 Sept →
43%Best headshot accuracy · 9–5 · debris, 17 Oct →
359msFastest reaction time · 9–5 · debris, 17 Oct →
13–2Biggest win · inferno, 18 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
3–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 67% over 6mirageWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%0.00
cacheC187–1139%0.02
mirageD186–1233%0.01
dust2C104–640%-0.02
nukeC94–544%0.02
officeB63–350%0.05
vertigoS64–267%0.01
anubisA53–260%-0.00
train—31–233%-0.01
overpass—22–0100%-0.01
debris—11–0100%0.12
ancient—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,974Lifetime kills
1.08K/D · Top 50% of Purple band
1,271Matches
47.7%Match win rate · Top 50% of Purple band
41.5%Headshot %
9.9%Shot accuracy
2,712MVPs
359Hours (in match)
1,005Bombs planted
306Bombs defused

Most-used weapons

Lifetime map wins

2,019inferno
1,457dust2
620office
346vertigo
315nuke
234italy
151train
42cbble

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.

11.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
41.4%Spray accuracy
85.5%Counter-strafing
8.5°Preaim
560msReaction time
35.6%T opening success
30.9%CT opening success
0.64Enemies flashed / flash
7.3%Flash assists
8.42HE damage / grenade
7.97Flashes / 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 11.4189% — 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 35.5786% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office3–130.049%30 Oct →
anubis7–13-0.0413%30 Oct →
office12–12-0.0414%24 Oct →
cache6–13-0.004%24 Oct →
inferno2–13-0.0320%20 Oct →
inferno13–20.049%18 Oct →
debris9–50.1243%17 Oct →
cache13–30.0726%17 Oct →
cache13–50.0617%16 Oct →
train13–60.056%12 Oct →
vertigo4–13-0.073%11 Oct →
train3–13-0.044%10 Oct →
train4–13-0.048%10 Oct →
cache7–13-0.075%9 Oct →
nuke11–13-0.017%9 Oct →
nuke11–13-0.066%30 Sept →
vertigo13–60.0417%29 Sept →
vertigo0–9-0.044%29 Sept →
mirage13–100.067%28 Sept →
nuke13–80.0527%27 Sept →
inferno13–70.2131%27 Sept →
mirage6–130.0111%21 Sept →
inferno1–9-0.1622%21 Sept →
cache13–100.0626%13 Sept →
mirage13–90.057%12 Sept →
inferno13–3-0.045%12 Sept →
nuke9–00.159%12 Sept →
vertigo9–50.078%12 Sept →
inferno9–10.153%12 Sept →
mirage15–15-0.036%11 Sept →
office13–70.087%4 Sept →
nuke10–130.035%1 Sept →
cache2–13-0.0413%1 Sept →
anubis6–130.0321%1 Sept →
inferno7–130.046%1 Sept →
mirage11–130.026%31 Aug →
inferno15–150.017%31 Aug →
cache6–13-0.0210%30 Aug →
dust213–60.0712%30 Aug →
anubis7–20.000%30 Aug →
mirage12–30.0111%30 Aug →
office13–100.024%29 Aug →
cache13–16-0.093%29 Aug →
vertigo9–60.036%29 Aug →
mirage13–90.0612%29 Aug →
cache9–130.0617%29 Aug →
nuke13–80.0120%28 Aug →
inferno13–70.0213%28 Aug →
cache13–7-0.0217%28 Aug →
inferno13–4-0.0111%28 Aug →
mirage4–13-0.0810%28 Aug →
inferno13–4-0.0117%25 Aug →
inferno15–150.0423%19 Aug →
inferno13–90.0515%17 Aug →
nuke14–16-0.035%16 Aug →
dust213–80.0323%12 Aug →
ancient6–13-0.052%12 Aug →
nuke11–130.0322%10 Aug →
mirage9–130.1824%8 Aug →
anubis13–6-0.007%28 Jul →
cache7–130.026%24 Jul →
mirage2–130.0913%24 Jul →
mirage6–13-0.0012%23 Jul →
inferno6–9-0.089%21 Jul →
dust216–12-0.0412%20 Jul →
dust28–13-0.0411%20 Jul →
inferno11–13-0.0410%19 Jul →
dust24–13-0.0719%18 Jul →
cache9–10.094%18 Jul →
dust26–13-0.116%18 Jul →
office12–120.1217%14 Jul →
mirage2–13-0.064%12 Jul →
cache13–80.019%11 Jul →
mirage12–12-0.0716%7 Jul →
cache4–130.0511%7 Jul →
dust211–13-0.036%5 Jul →
inferno3–13-0.077%5 Jul →
cache10–130.0616%4 Jul →
cache8–13-0.0011%3 Jul →
dust26–130.035%3 Jul →
mirage5–13-0.0310%3 Jul →
inferno6–13-0.039%3 Jul →
mirage13–60.0019%26 Jun →
overpass13–11-0.0219%26 Jun →
inferno13–100.0016%26 Jun →
inferno16–13-0.0025%25 Jun →
nuke13–11-0.0323%24 Jun →
dust213–10-0.0217%22 Jun →
cache13–30.1822%15 Jun →
inferno13–10-0.0322%13 Jun →
mirage15–150.0319%13 Jun →
overpass13–11-0.008%8 Jun →
dust210–130.024%7 Jun →
vertigo13–90.057%7 Jun →
mirage4–13-0.0216%7 Jun →
office7–10.059%7 Jun →
cache10–13-0.098%7 Jun →
inferno13–7-0.0125%3 Jun →
anubis9–10.0113%3 Jun →
mirage13–6-0.0110%2 Jun →

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 →

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