HemoBämä❤

HemoBämä❤ — CS2 Stats

FI76561199476022001[U:1:1515756273]Steam profile ↗✓ No bans

233Tracked matches57%Win rate2026Tracked since
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating4,867Grey band · top ~79.4% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+387Premier CS Rating · 4,480 → 4,867

Rating over time

Premier CS Rating: 4,867 -955 10 Aug – 13 Oct · 27 days played
2,3455,822peak 5,82210 Aug13 Oct
5,836Peak Premier in tracked matches
34Days played since 2026-08-10

Premier CS Rating

  • 955 below peak (5,822)
  • +1,374 over 30 days · improving
  • Next: Light Blue band at 5,000 — 133 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.GGHemoBämä❤FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER4,867 · Grey bandcsdb.gg/stats

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Performance scores

Aim56
Positioning40
Utility8

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWLWLWTWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.6pp headshot accuracy · −36ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 628ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 649ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 667ms

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 (+2.5 against its own average).

Aim5.6
Utility0.8
Positioning4.0
Opening Duels0.0
Clutch1.4

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 650ms 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

Aim5.6
Positioning4.0
Utility0.8
Mechanics7.0
Opening Duels0.0
Win Impact7.4

Composite 4.0/10 (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-0.02+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time649ms−15ms
first ⅓ avg 665ms → last ⅓ avg 649ms
Headshot accuracy12.5%+0.4%
first ⅓ avg 12.2% → last ⅓ avg 12.5%

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

0.06Best match rating · 13–8 · mirage, 7 Oct →
38%Best headshot accuracy · 0–12 · inferno, 27 Aug →
445msFastest reaction time · 9–5 · inferno, 25 Aug →
13–0Biggest win · mirage, 10 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 63% over 16nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%-0.03
infernoA1610–663%-0.04
anubisA138–562%-0.02
dust2B105–550%-0.03
ancientC104–640%-0.04
nukeD93–633%-0.04
cacheC94–544%-0.04
vertigo—41–325%-0.04
train—21–150%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

31Matches
35%Win rate
0.66Avg K/D
61.6ADR
36%Headshot %

Clutches & streaks

27%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1547%0.6910.5
Cache617%0.589.0
Ancient475%0.9213.5
Dust230%0.568.7
Nuke10%0.122.0
Inferno10%0.7814.0
Anubis10%0.274.0

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.

11.8%Headshot accuracy
36.0%Accuracy (enemy spotted)
33.3%Spray accuracy
81.6%Counter-strafing
9.9°Preaim
650msReaction time
28.0%T opening success
29.0%CT opening success
0.03Enemies flashed / flash
0.0%Flash assists
6.37HE damage / grenade
0.39Flashes / 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 11.8146% — below the 15% mark we flag

    Aim Training →
  2. 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 0.0339 — below the 0.5 mark we flag

    Grenade Lineups →
  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 27.9661% — below the 40% mark we flag

Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.018%13 Oct →
dust210–40.029%13 Oct →
dust25–13-0.0121%12 Oct →
mirage13–40.0510%10 Oct →
mirage6–13-0.0317%10 Oct →
mirage13–00.0414%10 Oct →
ancient15–150.0513%8 Oct →
mirage13–11-0.0010%8 Oct →
dust213–7-0.0218%8 Oct →
mirage13–110.028%8 Oct →
nuke10–13-0.0414%7 Oct →
mirage13–80.0615%7 Oct →
anubis13–80.0015%7 Oct →
mirage13–20.0113%5 Oct →
ancient7–13-0.0410%2 Oct →
inferno13–8-0.028%2 Oct →
mirage13–110.0011%2 Oct →
mirage0–13-0.105%2 Oct →
mirage6–130.0311%30 Sept →
inferno13–5-0.0410%30 Sept →
inferno7–130.0010%30 Sept →
dust27–13-0.0610%27 Sept →
mirage16–12-0.046%27 Sept →
nuke13–40.0315%27 Sept →
inferno3–13-0.0515%27 Sept →
vertigo13–9-0.086%27 Sept →
ancient13–2-0.0327%25 Sept →
vertigo9–130.0211%25 Sept →
nuke12–12-0.069%24 Sept →
vertigo3–13-0.086%23 Sept →
mirage13–7-0.0728%22 Sept →
cache3–13-0.1016%22 Sept →
mirage6–13-0.0711%21 Sept →
ancient4–13-0.037%21 Sept →
nuke7–13-0.118%20 Sept →
inferno2–13-0.0816%20 Sept →
mirage13–80.0010%19 Sept →
inferno15–15-0.0713%18 Sept →
nuke6–13-0.0112%18 Sept →
anubis13–4-0.0516%18 Sept →
nuke13–11-0.0314%18 Sept →
anubis13–90.0412%18 Sept →
nuke1–70.000%10 Sept →
mirage11–13-0.023%10 Sept →
dust25–13-0.0022%10 Sept →
inferno13–11-0.0411%1 Sept →
mirage6–13-0.1116%31 Aug →
dust213–8-0.086%28 Aug →
anubis6–13-0.049%27 Aug →
inferno13–9-0.039%27 Aug →
mirage4–13-0.0718%27 Aug →
cache13–70.0211%27 Aug →
ancient13–11-0.108%27 Aug →
mirage16–120.018%27 Aug →
inferno0–12-0.0838%27 Aug →
cache13–2-0.0111%26 Aug →
inferno13–6-0.0225%25 Aug →
ancient2–13-0.0215%25 Aug →
dust210–13-0.0414%25 Aug →
anubis13–7-0.0214%25 Aug →
mirage6–13-0.088%25 Aug →
inferno13–10-0.0512%25 Aug →
ancient13–4-0.0414%25 Aug →
anubis13–11-0.0223%25 Aug →
inferno9–5-0.0711%25 Aug →
ancient10–13-0.0914%25 Aug →
inferno13–5-0.0513%25 Aug →
cache13–11-0.0415%25 Aug →
inferno13–40.0313%25 Aug →
dust213–6-0.0511%25 Aug →
anubis11–13-0.0911%24 Aug →
dust213–10-0.0113%21 Aug →
ancient8–13-0.044%21 Aug →
anubis3–130.0012%20 Aug →
nuke3–13-0.1120%19 Aug →
cache2–13-0.075%18 Aug →
mirage10–13-0.0314%18 Aug →
inferno11–13-0.077%18 Aug →
anubis12–12-0.0412%18 Aug →
anubis13–2-0.0112%17 Aug →
train12–12-0.0317%17 Aug →
cache4–13-0.1113%17 Aug →
cache11–13-0.108%17 Aug →
mirage7–13-0.100%14 Aug →
anubis10–13-0.007%12 Aug →
mirage6–13-0.0012%12 Aug →
train13–9-0.065%12 Aug →
anubis13–8-0.0213%12 Aug →
mirage4–13-0.1214%12 Aug →
inferno13–6-0.0515%11 Aug →
mirage1–13-0.1214%11 Aug →
dust210–13-0.0410%11 Aug →
ancient13–6-0.0312%11 Aug →
mirage7–13-0.0726%11 Aug →
cache13–80.0014%11 Aug →
anubis13–20.0222%11 Aug →
nuke13–50.0115%11 Aug →
vertigo12–12-0.0112%11 Aug →
mirage11–13-0.106%11 Aug →
cache6–130.0117%10 Aug →

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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