Hermiboi

Hermiboi — CS2 Stats

RO76561198873082035[U:1:912816307]Steam profile ↗✓ No bans

91Tracked matches58%Win rate2025Tracked since
188Hours in CS
CSDB Rating2.9 LearningPositional Player
Premier CS Rating5,556Light Blue band · top ~76.1% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Jun 2026 (146 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: 5,556 +809 14 Mar – 22 Jun · 15 days played
4,0555,556peak 5,55614 Mar22 Jun
5,556Peak Premier in tracked matches
46Days played since 2025-10-30

Premier CS Rating

  • At peak — 5,556
  • +1,377 over 90 days
  • Next: Blue band at 10,000 — 4,444 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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=10,066), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate36.9%40.0%42.0%5.1% short
Shot accuracy17.7%6.9%9.7%above
Kill/death ratio0.930.920.980.05 short
Match win rate47.0%42.3%43.8%above

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

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

Share this profile

CSDB.GGHermiboiPREMIER5,556 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim18
Positioning43
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY41–41–9Last 9145%Win rateWWWLLWWLWT

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −93ms reaction

Win rate 0pp 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 -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 634ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 688ms

Last 20

  • 12–3–5 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 735ms

Newest first, from the last 91 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 (+1.7 against its own average).

Aim1.8
Utility3.6
Positioning4.3
Opening Duels0.0

Strong T-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 60% 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. 756ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.8
Positioning4.3
Utility3.6
Mechanics3.7
Opening Duels0.0
Win Impact7.6

Composite 2.9/10 (Learning), 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+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time742ms−49ms
first ⅓ avg 791ms → last ⅓ avg 742ms
Headshot accuracy11.4%−0.9%
first ⅓ avg 12.3% → last ⅓ avg 11.4%

Rolling 5-match average across the last 91 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.09Best match rating · 9–3 · inferno, 22 Jun →
26%Best headshot accuracy · 5–13 · dust2, 25 Nov →
500msFastest reaction time · 9–6 · inferno, 22 Jun →
13–1Biggest win · mirage, 7 Jan →

Across the last 91 tracked matches.

Highlights

6Longest win streak
W3Current streak
4–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 80% over 5anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2813–1546%-0.02
dust2B2411–1346%-0.03
infernoC167–944%-0.03
anubisD51–420%-0.02
cacheS54–180%-0.01
ancient—41–325%-0.03
nuke—32–167%0.00
overpass—20–20%-0.01
vertigo—21–150%-0.10
train—11–0100%0.08
poseidon—10–10%-0.05

Across the last 91 tracked matches.

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

Lifetime stats

8,910Lifetime kills
0.93K/D · Top 50% of Light Blue band
472Matches
47.0%Match win rate · Top 25% of Light Blue band
36.9%Headshot %
17.7%Shot accuracy · Top 5% of Light Blue band
2,014MVPs
188Hours (in match)
547Bombs planted
86Bombs defused

Most-used weapons

Lifetime map wins

752dust2
529inferno
201cbble
100train
97lake
86nuke
33office
24vertigo

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.

11.8%Headshot accuracy
29.4%Accuracy (enemy spotted)
28.8%Spray accuracy
66.7%Counter-strafing
11.9°Preaim
756msReaction time
26.1%T opening success
17.0%CT opening success
0.71Enemies flashed / flash
6.0%Flash assists
4.16HE damage / grenade
7.08Flashes / 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 11.7513% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 756.2985ms — above the 700ms mark we flag

    Aim Training →
  3. 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 26.0606% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0011%22 Jun →
inferno9–6-0.089%22 Jun →
inferno9–30.099%22 Jun →
inferno5–9-0.072%21 Jun →
inferno5–9-0.0912%21 Jun →
dust213–6-0.045%16 Jun →
dust213–50.047%16 Jun →
mirage14–16-0.0115%14 Jun →
mirage16–13-0.0010%14 Jun →
anubis12–12-0.067%11 Jun →
cache13–40.014%11 Jun →
mirage13–9-0.0212%1 Jun →
mirage13–6-0.004%1 Jun →
inferno8–8-0.0214%10 May →
cache13–30.0111%10 May →
cache13–9-0.0222%10 May →
inferno8–8-0.028%10 May →
cache13–60.0311%9 May →
anubis15–15-0.047%8 May →
cache12–12-0.0910%8 May →
dust26–13-0.0418%26 Apr →
dust27–13-0.0217%25 Apr →
ancient13–16-0.0510%23 Apr →
train13–90.0820%23 Apr →
ancient3–13-0.0521%23 Apr →
overpass7–90.0118%20 Apr →
inferno9–60.0412%20 Apr →
nuke9–50.0314%20 Apr →
poseidon6–9-0.0513%20 Apr →
inferno8–8-0.018%20 Apr →
inferno3–9-0.219%20 Apr →
inferno13–110.0219%19 Apr →
vertigo4–9-0.1417%16 Apr →
ancient13–11-0.0710%15 Apr →
inferno9–13-0.0110%15 Apr →
mirage11–13-0.0715%10 Apr →
dust29–13-0.0119%19 Mar →
mirage10–13-0.047%19 Mar →
mirage10–13-0.028%18 Mar →
inferno13–4-0.0110%18 Mar →
ancient7–130.0510%18 Mar →
mirage12–120.0812%18 Mar →
dust213–9-0.069%18 Mar →
dust25–13-0.0018%17 Mar →
dust29–13-0.0516%17 Mar →
dust213–4-0.0124%14 Mar →
dust213–4-0.0315%14 Mar →
dust216–12-0.0210%14 Mar →
dust213–3-0.0211%14 Mar →
mirage13–30.0112%14 Mar →
mirage4–13-0.070%13 Mar →
mirage7–13-0.0810%12 Mar →
dust215–15-0.0314%12 Mar →
anubis13–7-0.0016%11 Mar →
inferno10–13-0.074%11 Mar →
anubis11–13-0.0113%10 Mar →
inferno13–5-0.019%10 Mar →
dust29–13-0.039%23 Feb →
anubis9–13-0.0113%23 Feb →
nuke5–130.016%17 Feb →
inferno10–13-0.049%17 Feb →
dust27–13-0.0311%16 Feb →
dust25–13-0.098%16 Feb →
mirage9–13-0.0318%16 Feb →
dust213–9-0.077%15 Feb →
dust213–30.0114%15 Feb →
mirage13–5-0.0315%12 Feb →
mirage4–13-0.0913%10 Feb →
mirage13–6-0.079%8 Feb →
mirage13–9-0.0111%7 Feb →
mirage13–50.046%12 Jan →
dust210–13-0.068%7 Jan →
mirage3–13-0.0513%7 Jan →
nuke13–8-0.039%7 Jan →
mirage13–1-0.013%7 Jan →
overpass11–13-0.0313%6 Jan →
dust27–13-0.0314%12 Dec →
mirage13–50.0412%12 Dec →
mirage12–12-0.064%6 Dec →
mirage5–13-0.035%28 Nov →
mirage5–13-0.0516%28 Nov →
mirage5–13-0.056%26 Nov →
mirage5–13-0.0421%25 Nov →
dust25–13-0.0826%25 Nov →
dust213–110.0118%25 Nov →
mirage13–10-0.0115%24 Nov →
mirage13–50.0218%23 Nov →
inferno13–70.0222%12 Nov →
dust213–5-0.0114%12 Nov →
vertigo9–7-0.068%31 Oct →
dust21–13-0.0113%30 Oct →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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