Hahnenkampf

Hahnenkampf — CS2 Stats

76561198121686479[U:1:161420751]Steam profile ↗✓ No bans

752Tracked matches47%Win rate2020Tracked since
CSDB Rating3.9 Learning
Premier CS Rating16,646Purple band · top ~21.8% of ranked players (population est.)
CSDB Leaderboard#30073 of 55671 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGHahnenkampfFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,646 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning31
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY43552Last 10043%Win rateWWLLWLLWWL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim5.6
Aggression1.7
Utility1.9
Positioning3.1
Opening Duels0.0
Clutch2.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 568ms 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
Positioning3.1
Utility1.9
Mechanics6.3
Opening Duels0.0
Win Impact3.9

Composite 3.9/10 (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-0.04+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time568ms−31ms
first ⅓ avg 599ms → last ⅓ avg 568ms
Headshot accuracy10.1%−0.9%
first ⅓ avg 11.0% → last ⅓ avg 10.1%

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.

Highlights

0.03Best rating — inferno 13–1
130Biggest win — nuke
4Longest win streak
W2Current streak
1011In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 67% over 18ancientWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
nukeB21111052%-0.04
ancientD2171433%-0.05
infernoS1812667%-0.05
anubisC145936%-0.05
cacheC145936%-0.05
overpassC73443%-0.05
dust23030%-0.09
mirage2020%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

287Matches
45%Win rate
0.73Avg K/D
79.8ADR
32%Headshot %

Clutches & streaks

31%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2836%1.0515.4
Dust22162%1.0714.3
Inferno1844%1.0412.8
Ancient1567%1.0514.7
Nuke560%1.0113.8
Train4100%1.2612.3
Overpass10%0.547.0

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.

10.3%Headshot accuracy
32.1%Accuracy (enemy spotted)
36.0%Spray accuracy
78.5%Counter-strafing
9.7°Preaim
568msReaction time
27.6%T opening success
15.2%CT opening success
0.32Enemies flashed / flash
3.0%Flash assists
6.54HE damage / grenade
1.19Flashes / 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 10.3193% — 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 0.3166 — 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 27.5876% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.068%30 Aug
nuke13–7-0.040%30 Aug
ancient9–13-0.077%30 Aug
nuke8–13-0.044%30 Aug
ancient13–11-0.056%27 Aug
ancient9–13-0.0611%25 Aug
nuke6–13-0.0112%25 Aug
ancient13–11-0.058%25 Aug
inferno13–8-0.0217%24 Aug
cache8–13-0.046%24 Aug
anubis6–13-0.053%24 Aug
cache8–13-0.038%23 Aug
inferno13–9-0.0217%23 Aug
cache16–14-0.0510%23 Aug
inferno14–16-0.058%22 Aug
ancient4–13-0.0916%22 Aug
nuke13–10-0.037%22 Aug
cache9–13-0.0814%16 Aug
nuke6–13-0.0513%16 Aug
inferno13–10.034%16 Aug
cache6–13-0.087%14 Aug
inferno13–8-0.005%13 Aug
ancient13–9-0.0117%13 Aug
cache6–13-0.0417%11 Aug
cache13–11-0.0514%11 Aug
ancient7–13-0.0615%9 Aug
anubis14–16-0.0610%9 Aug
anubis13–1-0.0417%8 Aug
ancient13–7-0.0220%8 Aug
nuke8–13-0.0111%8 Aug
nuke16–14-0.057%6 Aug
cache15–15-0.0613%6 Aug
cache13–3-0.000%5 Aug
nuke13–60.008%5 Aug
anubis11–13-0.027%4 Aug
ancient13–4-0.069%4 Aug
cache11–13-0.0413%4 Aug
inferno7–13-0.188%4 Aug
nuke4–13-0.0811%1 Aug
ancient3–13-0.067%30 Jul
ancient13–6-0.0014%29 Jul
inferno13–8-0.0716%29 Jul
cache13–6-0.0216%27 Jul
inferno13–1-0.0121%27 Jul
anubis9–13-0.0413%27 Jul
mirage10–13-0.0715%26 Jul
nuke13–10-0.0112%26 Jul
cache1–13-0.0418%26 Jul
inferno13–11-0.0728%26 Jul
nuke13–70.0013%26 Jul
dust28–13-0.0712%25 Jul
nuke9–13-0.0614%25 Jul
ancient4–13-0.1112%25 Jul
cache7–13-0.070%25 Jul
ancient4–13-0.0512%25 Jul
anubis8–13-0.078%23 Jul
anubis13–8-0.0614%23 Jul
nuke13–5-0.0114%22 Jul
nuke1–13-0.0918%22 Jul
nuke13–0-0.010%17 Jul
inferno13–90.0017%17 Jul
anubis10–13-0.043%2 Jul
ancient11–13-0.0015%1 Jul
nuke13–4-0.0619%1 Jul
dust21–13-0.1333%30 Jun
inferno10–13-0.049%30 Jun
anubis7–13-0.0813%28 Jun
overpass13–11-0.0414%28 Jun
overpass1–13-0.0418%27 Jun
anubis13–60.019%27 Jun
ancient10–13-0.0819%26 Jun
ancient9–13-0.067%25 Jun
nuke13–16-0.0913%24 Jun
ancient7–13-0.047%22 Jun
anubis14–16-0.0513%22 Jun
anubis11–13-0.069%21 Jun
inferno16–13-0.043%21 Jun
ancient10–13-0.0625%21 Jun
nuke13–7-0.0214%21 Jun
inferno16–14-0.066%15 Jun
nuke7–13-0.105%15 Jun
anubis16–13-0.079%15 Jun
inferno16–14-0.0511%14 Jun
inferno11–13-0.0517%13 Jun
overpass7–13-0.0711%13 Jun
ancient9–13-0.0523%12 Jun
nuke15–15-0.0810%12 Jun
nuke16–13-0.0710%12 Jun
inferno13–9-0.060%12 Jun
overpass13–4-0.0610%7 Jun
inferno4–13-0.0918%7 Jun
overpass13–3-0.029%7 Jun
cache13–8-0.0711%7 Jun
ancient6–13-0.055%7 Jun
inferno11–13-0.0811%7 Jun
mirage4–13-0.0315%7 Jun
ancient13–11-0.065%5 Jun
overpass11–13-0.0316%5 Jun
dust211–13-0.083%5 Jun
overpass10–13-0.076%4 Jun

Match data via Leetify.

Recent teammates

Milestones

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