Adolf Healer

Adolf Healer — CS2 Stats

76561199627300518[U:1:1667034790]Steam profile ↗✓ No bans

390Tracked matches60%Win rate2024Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating7,436Light Blue band · top ~67.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (yesterday). 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: 7,436 +2,891 2 Apr – 1 Nov · 27 days played
1,8428,122peak 8,1222 Apr1 Nov
8,122Peak Premier in tracked matches
36Days played since 2026-03-29

Premier CS Rating

  • 686 below peak (8,122)
  • Next: Blue band at 10,000 — 2,564 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.

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CSDB.GGAdolf HealerPREMIER7,436 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning66
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateLWWWLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −2.5pp headshot accuracy · −123ms reaction

Win rate down 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 556ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 575ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 636ms

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 against its own average).

Aim5.2
Utility4.7
Positioning6.6
Opening Duels5.4

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

s1mple

Plays most like s1mple 73% 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. 648ms 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
Positioning6.6
Utility4.7
Mechanics4.9
Opening Duels5.7
Win Impact8.3

Composite 5.1/10 (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 rating0.02+0.05
first ⅓ avg -0.03 → last ⅓ avg 0.02
Reaction time646ms−72ms
first ⅓ avg 718ms → last ⅓ avg 646ms
Headshot accuracy24.3%+1.8%
first ⅓ avg 22.5% → last ⅓ avg 24.3%

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

0.25Best match rating · 13–1 · ancient, 25 Oct →
100%Best headshot accuracy · 11–13 · nuke, 22 May →
406msFastest reaction time · 11–8 · dust2, 24 Apr →
13–0Biggest win · nuke, 8 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–21In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 50% over 12dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB3215–1747%-0.01
mirageC145–936%-0.02
ancientC145–936%0.01
infernoB126–650%0.00
anubisC104–640%-0.02
dust2D82–625%-0.02
overpass—42–250%-0.02
train—21–150%-0.03
cache—21–150%-0.03
vertigo—11–0100%0.13
alpine—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.9%Headshot accuracy
31.7%Accuracy (enemy spotted)
36.3%Spray accuracy
72.1%Counter-strafing
12.6°Preaim
648msReaction time
52.5%T opening success
52.8%CT opening success
0.54Enemies flashed / flash
9.6%Flash assists
6.65HE damage / grenade
8.83Flashes / 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 12.647° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0033%1 Nov →
ancient5–00.0424%1 Nov →
mirage13–30.0419%1 Nov →
vertigo9–70.1335%1 Nov →
mirage11–130.0019%1 Nov →
nuke5–13-0.0316%1 Nov →
anubis11–130.0622%31 Oct →
mirage2–13-0.0711%31 Oct →
mirage0–6-0.0525%31 Oct →
train13–70.0221%31 Oct →
mirage13–90.0217%25 Oct →
ancient13–10.2534%25 Oct →
nuke13–50.1323%25 Oct →
cache11–13-0.0624%17 Oct →
nuke13–7-0.0018%17 Oct →
nuke13–50.0335%17 Oct →
mirage9–20.0631%2 Oct →
dust22–3-0.0422%2 Oct →
inferno13–40.0622%2 Oct →
mirage11–13-0.0123%2 Oct →
anubis13–100.0432%2 Oct →
nuke13–60.0826%23 Sept →
inferno9–13-0.0416%29 Aug →
mirage13–8-0.0120%20 Aug →
nuke13–60.1037%20 Aug →
ancient4–13-0.0628%20 Aug →
nuke13–7-0.0618%24 Jul →
nuke13–00.1630%8 Jul →
ancient13–5-0.0223%8 Jul →
anubis10–13-0.0328%8 Jul →
cache13–40.0026%8 Jul →
overpass13–5-0.0419%7 Jun →
ancient1–7-0.0825%7 Jun →
nuke3–100.0534%24 May →
nuke13–50.0214%24 May →
nuke1–11-0.0443%24 May →
nuke11–13-0.04100%22 May →
inferno13–40.0723%22 May →
anubis13–00.0336%20 May →
overpass13–7-0.0718%20 May →
ancient9–40.1231%17 May →
ancient10–8-0.038%16 May →
inferno13–20.0723%15 May →
dust213–40.0122%13 May →
inferno13–50.0321%13 May →
inferno0–2-0.02100%13 May →
inferno13–4-0.037%13 May →
alpine13–40.0622%9 May →
nuke13–5-0.0219%9 May →
ancient6–13-0.0511%9 May →
inferno15–15-0.0515%25 Apr →
dust211–8-0.080%24 Apr →
nuke10–13-0.0525%24 Apr →
anubis13–9-0.0414%24 Apr →
mirage7–13-0.0110%24 Apr →
ancient10–13-0.0925%24 Apr →
inferno12–13-0.0317%23 Apr →
nuke13–70.0238%23 Apr →
nuke13–9-0.067%22 Apr →
nuke12–90.0440%22 Apr →
mirage13–3-0.0115%22 Apr →
train5–13-0.0838%21 Apr →
nuke12–15-0.0231%21 Apr →
nuke13–8-0.0536%20 Apr →
dust213–11-0.0135%18 Apr →
anubis5–9-0.0820%18 Apr →
nuke11–130.0148%18 Apr →
nuke4–13-0.0720%18 Apr →
mirage11–13-0.0625%18 Apr →
nuke11–9-0.0116%18 Apr →
ancient13–60.0218%18 Apr →
nuke8–13-0.0825%15 Apr →
nuke12–16-0.1030%12 Apr →
ancient11–130.0438%11 Apr →
overpass3–8-0.0025%11 Apr →
nuke11–13-0.0330%11 Apr →
nuke4–13-0.0915%11 Apr →
anubis4–13-0.0726%8 Apr →
ancient8–90.0118%7 Apr →
nuke9–13-0.0125%7 Apr →
anubis13–6-0.0517%6 Apr →
nuke13–30.04100%6 Apr →
mirage7–9-0.110%6 Apr →
dust20–20.000%5 Apr →
ancient13–60.0127%5 Apr →
nuke6–13-0.0117%5 Apr →
inferno13–90.045%5 Apr →
mirage11–13-0.075%5 Apr →
dust212–150.0315%5 Apr →
anubis6–13-0.0840%5 Apr →
inferno4–13-0.0612%5 Apr →
nuke11–13-0.0219%5 Apr →
dust23–9-0.0440%5 Apr →
dust24–13-0.0518%2 Apr →
nuke8–6-0.1017%2 Apr →
overpass9–130.0230%1 Apr →
nuke5–130.0110%1 Apr →
anubis10–130.0015%1 Apr →
ancient14–16-0.0813%1 Apr →
inferno8–13-0.0035%29 Mar →

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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