Hilmar

Hilmar — CS2 Stats

IS76561198131060299[U:1:170794571]Steam profile ↗✓ No bans

1,732Tracked matches30%Win rate2020Tracked since
CSDB Rating3.7 LearningSupport
FaceitLevel 6 · 1,363 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,999 +632 22 Jun – 25 Jun · 2 days played
9,3679,999peak 9,99922 Jun25 Jun
9,999Peak Premier in tracked matches
1,363Highest Faceit ELO seen on CSDB
59Days played since 2025-06-15

Faceit ELO

  • At peak — 1,363
  • Next: Level 8 at 1,531 — 168 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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

Share this profile

CSDB.GGHilmarFACEITLevel 6 · 1,363 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,363csdb.gg/stats

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Performance scores

Aim52
Positioning44
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLWWLLLWWLW

Last 10 vs previous 10: +40pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · −61ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 559ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 581ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 611ms

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 (+1.6 against its own average).

Aim5.2
Utility5.3
Positioning4.4
Opening Duels2.7
Clutch2.6

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

ZywOo

Plays most like ZywOo 79% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 629ms 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

Aim5.2
Positioning4.4
Utility5.3
Mechanics4.5
Opening Duels1.8
Win Impact0.0

Composite 3.7/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time636ms−15ms
first ⅓ avg 651ms → last ⅓ avg 636ms
Headshot accuracy14.9%−2.3%
first ⅓ avg 17.2% → last ⅓ avg 14.9%

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 · 11–13 · nuke, 31 May →
45%Best headshot accuracy · 16–19 · inferno, 31 Jul →
469msFastest reaction time · 2–13 · inferno, 25 Aug →
13–1Biggest win · ancient, 7 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 55% over 22mirageWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2410–1442%-0.02
ancientC2310–1343%-0.01
nukeA2212–1055%-0.04
infernoC125–742%-0.01
mirageD60–60%0.00
overpassB63–350%-0.01
anubis—42–250%-0.07
train—21–150%-0.02
rooftop—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

811Matches
49%Win rate
0.91Avg K/D
75.3ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
16%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient18953%0.9714.4
Dust214839%0.8614.5
Nuke14158%0.9514.8
Inferno10643%0.8213.3
Mirage5848%0.9113.3
Anubis4637%0.9314.6
Vertigo2642%0.8312.7
Cache2357%0.9614.4

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.

14.7%Headshot accuracy
35.4%Accuracy (enemy spotted)
37.7%Spray accuracy
70.3%Counter-strafing
11.0°Preaim
629msReaction time
38.1%T opening success
36.3%CT opening success
0.56Enemies flashed / flash
4.8%Flash assists
11.60HE damage / grenade
5.77Flashes / 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 14.6816% — 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 38.1491% — 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0222%16 Sept →
dust213–8-0.029%6 Sept →
dust213–4-0.0611%26 Aug →
inferno2–130.0315%25 Aug →
nuke7–13-0.066%17 Aug →
mirage6–13-0.0223%14 Jul →
inferno13–30.0325%25 Jun →
dust213–110.009%25 Jun →
inferno7–130.0823%22 Jun →
ancient13–90.0519%11 Jun →
overpass9–130.028%11 Jun →
dust25–13-0.0416%11 Jun →
ancient6–13-0.0115%11 Jun →
dust216–14-0.0313%5 Jun →
ancient3–130.0311%3 Jun →
mirage8–130.1111%3 Jun →
nuke11–130.1722%31 May →
ancient10–130.0311%31 May →
ancient5–13-0.0622%30 May →
dust24–130.0114%29 May →
overpass4–13-0.0411%26 May →
nuke4–13-0.0620%12 May →
nuke3–13-0.106%26 Mar →
ancient6–13-0.0517%20 Mar →
dust213–90.0115%11 Mar →
dust225–23-0.0514%5 Mar →
ancient7–130.0122%21 Feb →
anubis1–13-0.0717%26 Jan →
nuke16–12-0.058%13 Jan →
nuke5–13-0.0710%11 Jan →
ancient9–13-0.0218%9 Jan →
nuke20–22-0.0515%29 Dec →
ancient13–40.0114%17 Dec →
dust213–11-0.0427%12 Dec →
mirage13–16-0.0315%10 Dec →
inferno16–14-0.048%10 Dec →
nuke13–16-0.0620%8 Dec →
inferno13–8-0.0919%4 Dec →
rooftop9–6-0.015%29 Nov →
nuke13–10-0.0218%24 Nov →
dust28–13-0.0518%24 Nov →
nuke3–9-0.2420%13 Nov →
dust213–3-0.0020%12 Nov →
ancient2–13-0.0428%5 Nov →
nuke13–6-0.0426%23 Sept →
dust211–130.0812%20 Sept →
nuke10–13-0.0430%20 Sept →
ancient8–13-0.0415%20 Sept →
inferno6–13-0.0615%18 Sept →
ancient16–14-0.069%18 Sept →
nuke13–110.0017%18 Sept →
overpass13–90.0114%4 Sept →
overpass13–60.0123%19 Aug →
ancient13–110.0230%19 Aug →
nuke13–100.0118%18 Aug →
inferno8–8-0.0724%16 Aug →
nuke8–8-0.0728%16 Aug →
mirage9–13-0.0120%15 Aug →
mirage8–13-0.0016%12 Aug →
nuke13–8-0.0522%12 Aug →
ancient2–13-0.0626%12 Aug →
ancient11–13-0.0621%8 Aug →
dust217–19-0.0318%8 Aug →
ancient13–1-0.0016%7 Aug →
nuke13–8-0.0125%7 Aug →
dust29–13-0.0518%7 Aug →
dust29–13-0.1611%1 Aug →
train13–7-0.0012%1 Aug →
inferno16–190.0145%31 Jul →
dust213–7-0.0734%31 Jul →
ancient13–6-0.0413%31 Jul →
dust28–130.0216%30 Jul →
ancient13–40.0214%30 Jul →
overpass5–13-0.0016%30 Jul →
inferno8–13-0.0318%22 Jul →
overpass13–6-0.047%22 Jul →
nuke13–10-0.0718%22 Jul →
train11–13-0.0414%10 Jul →
inferno6–13-0.0813%10 Jul →
nuke13–8-0.069%10 Jul →
dust211–13-0.0619%9 Jul →
ancient16–13-0.0418%9 Jul →
nuke13–7-0.0227%2 Jul →
anubis13–10-0.1020%2 Jul →
inferno13–20.1623%2 Jul →
dust211–130.0311%27 Jun →
anubis13–11-0.0210%27 Jun →
nuke13–5-0.0314%27 Jun →
ancient5–130.0125%27 Jun →
dust29–13-0.058%26 Jun →
ancient10–13-0.0220%26 Jun →
nuke13–100.0110%26 Jun →
dust212–16-0.0321%26 Jun →
anubis5–13-0.095%25 Jun →
inferno13–9-0.0317%25 Jun →
ancient13–20.0517%25 Jun →
dust29–13-0.0916%25 Jun →
ancient13–8-0.0121%16 Jun →
dust213–40.1118%16 Jun →
dust215–19-0.0116%15 Jun →

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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