Aalhändler

Aalhändler — CS2 Stats

DE76561198060252775[U:1:99987047]Steam profile ↗✓ No bans

365Tracked matches36%Win rate2023Tracked since
1,490Hours in CS6Hrs last 2 wks
CSDB Rating3.8 LearningSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,352 +1,527 6 Feb – 6 Jul · 29 days played
7,53811,390peak 11,3906 Feb6 Jul
11,770Peak Premier in tracked matches
45Days played since 2026-02-06

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

Performance scores

Aim48
Positioning35
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWWLWLTLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −3.4pp headshot accuracy · −7ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 619ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 611ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 614ms

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).

Aim4.8
Utility5.0
Positioning3.5
Opening Duels1.6

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 41% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim4.8
Positioning3.5
Utility5.0
Mechanics4.8
Opening Duels1.4
Win Impact0.2

Composite 3.8/10 (Learning), 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 rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time632ms−110ms
first ⅓ avg 742ms → last ⅓ avg 632ms
Headshot accuracy20.1%−3.1%
first ⅓ avg 23.2% → last ⅓ avg 20.1%

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

0.14Best match rating · 9–5 · inferno, 26 Sept →
50%Best headshot accuracy · 5–13 · mirage, 3 May →
445msFastest reaction time · 3–13 · ancient, 26 Sept →
13–2Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
10–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 60% over 10mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoC219–1243%-0.01
anubisB209–1145%-0.03
nukeD186–1233%-0.02
dust2A127–558%-0.03
mirageD113–827%-0.01
overpassA106–460%-0.01
cache—41–325%-0.00
ancient—31–233%-0.02
train—11–0100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,966Lifetime kills
1.05K/D · Top 50% of tracked players
2,053Matches
42.9%Match win rate
40.6%Headshot %
15.0%Shot accuracy · Top 50% of tracked players
4,334MVPs
797Hours (in match)
1,514Bombs planted
427Bombs defused

Most-used weapons

Lifetime map wins

3,136dust2
2,372inferno
1,440nuke
691train
441cbble
132vertigo
130assault
112office

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.

19.9%Headshot accuracy
28.4%Accuracy (enemy spotted)
29.6%Spray accuracy
71.6%Counter-strafing
9.4°Preaim
630msReaction time
19.9%T opening success
41.0%CT opening success
0.51Enemies flashed / flash
7.1%Flash assists
8.67HE damage / grenade
6.56Flashes / 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

    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 19.9192% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–2-0.0614%30 Sept →
inferno13–40.0416%26 Sept →
ancient3–13-0.0814%26 Sept →
inferno9–50.148%26 Sept →
mirage14–160.0514%26 Sept →
cache15–150.0217%25 Sept →
ancient10–130.0411%17 Sept →
inferno9–130.0016%17 Sept →
train13–30.0124%17 Sept →
overpass13–3-0.0231%17 Sept →
inferno10–130.0217%8 Sept →
nuke7–13-0.0519%8 Sept →
nuke10–13-0.0229%4 Sept →
inferno9–130.0531%4 Sept →
nuke10–10.0836%4 Sept →
anubis3–13-0.0518%23 Aug →
inferno12–160.0115%22 Aug →
mirage10–13-0.0211%19 Aug →
mirage12–2-0.0310%19 Aug →
anubis13–80.0215%18 Aug →
nuke13–11-0.0830%16 Aug →
anubis9–130.0431%26 Jul →
dust27–13-0.0132%26 Jul →
inferno13–7-0.0521%25 Jul →
cache10–13-0.0522%10 Jul →
nuke6–13-0.0723%9 Jul →
cache13–30.0934%9 Jul →
inferno10–13-0.0214%9 Jul →
inferno15–15-0.0612%9 Jul →
mirage10–13-0.0414%9 Jul →
anubis1–13-0.0623%9 Jul →
cache5–13-0.0718%7 Jul →
nuke13–100.0222%6 Jul →
overpass16–140.0230%6 Jul →
anubis11–13-0.0620%6 Jul →
nuke13–10-0.0418%4 Jul →
inferno9–13-0.0513%4 Jul →
nuke5–13-0.0410%3 Jul →
anubis7–13-0.0521%3 Jul →
anubis9–13-0.0821%3 Jul →
anubis13–40.0133%3 Jul →
dust213–9-0.1026%2 Jul →
dust213–50.0122%2 Jul →
dust214–16-0.0518%2 Jul →
inferno11–130.0233%30 Jun →
dust24–13-0.0626%30 Jun →
dust213–8-0.0724%30 Jun →
nuke7–13-0.1232%28 Jun →
inferno13–7-0.008%28 Jun →
anubis13–11-0.0213%22 Jun →
anubis13–70.0225%22 Jun →
anubis13–10-0.0724%19 Jun →
anubis13–3-0.0440%19 Jun →
nuke13–16-0.0121%19 Jun →
overpass13–110.0027%16 Jun →
dust213–11-0.0216%16 Jun →
overpass13–11-0.0428%12 Jun →
anubis13–50.0824%12 Jun →
anubis9–13-0.0514%18 May →
dust211–13-0.0326%3 May →
dust213–5-0.0132%3 May →
mirage5–13-0.0250%3 May →
overpass9–13-0.0723%26 Apr →
inferno13–50.0224%26 Apr →
inferno11–130.0119%25 Apr →
anubis13–9-0.0118%25 Apr →
inferno13–11-0.0629%24 Apr →
nuke13–20.0121%14 Apr →
anubis10–13-0.0323%14 Apr →
nuke13–30.0926%19 Mar →
inferno13–16-0.1014%19 Mar →
nuke15–15-0.0046%16 Mar →
anubis6–13-0.0628%16 Mar →
dust213–40.0513%15 Mar →
nuke13–16-0.0725%14 Mar →
inferno16–12-0.0122%14 Mar →
inferno13–110.0126%11 Mar →
ancient13–8-0.0239%11 Mar →
inferno8–130.0043%11 Mar →
nuke9–13-0.0527%8 Mar →
anubis13–11-0.0517%8 Mar →
dust210–13-0.0524%8 Mar →
overpass13–60.0312%8 Mar →
mirage8–130.0832%1 Mar →
mirage13–11-0.0124%24 Feb →
nuke8–13-0.0122%24 Feb →
nuke5–130.0117%23 Feb →
inferno3–13-0.0420%23 Feb →
overpass9–130.0120%23 Feb →
overpass13–80.0216%12 Feb →
dust213–100.0126%12 Feb →
anubis3–13-0.1010%12 Feb →
anubis6–13-0.0629%12 Feb →
overpass9–13-0.0211%8 Feb →
nuke5–13-0.0221%7 Feb →
overpass10–13-0.0220%7 Feb →
mirage13–80.0322%7 Feb →
mirage2–13-0.0315%7 Feb →
mirage1–13-0.0840%7 Feb →
mirage13–16-0.0016%6 Feb →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.