Nils von Makaknackerland

Nils von Makaknackerland — CS2 Stats

DE76561198196450678[U:1:236184950]Steam profile ↗✓ No bans

347Tracked matches32%Win rate2025Tracked since
CSDB Rating3.3 LearningSupport
Premier CS Rating12,154Blue band · top ~43.5% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 347 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 31 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,154 +3,730 3 Jun – 23 Sept · 12 days played
8,42412,240peak 12,2403 Jun23 Sept
12,550Peak Premier in tracked matches
37Days played since 2026-05-31

Premier CS Rating

  • 86 below peak (12,240)
  • +2,848 over 90 days
  • Next: Purple band at 15,000 — 2,846 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

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

Share this profile

CSDB.GGNils von MakaknackerlandPREMIER12,154 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning23
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateWWWWLLTLWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −71ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 711ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 639ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 675ms

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 (+2.6 against its own average).

Aim4.8
Utility4.2
Positioning2.3
Opening Duels0.0
Clutch0.0

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

Twistzz

Plays most like Twistzz 87% 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. 689ms 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
Positioning2.3
Utility4.2
Mechanics6.1
Opening Duels0.3
Win Impact0.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time708ms−43ms
first ⅓ avg 751ms → last ⅓ avg 708ms
Headshot accuracy18.5%−1.8%
first ⅓ avg 20.4% → last ⅓ avg 18.5%

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

0.09Best match rating · 13–5 · dust2, 6 Jul →
65%Best headshot accuracy · 13–9 · office, 17 Jul →
500msFastest reaction time · 11–13 · office, 12 Aug →
13–0Biggest win · dust2, 10 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
6–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 71% over 7officeWeakest map · 34% over 44
MapGradePlayedRecordWin rateAvg rating
officeD4415–2934%-0.04
dust2S1711–665%-0.05
mirageC125–742%-0.04
cacheA106–460%-0.02
infernoS75–271%-0.05
nuke—41–325%-0.06
ancient—21–150%-0.07
shelter—21–150%-0.10
anubis—10–10%-0.02
overpass—10–10%-0.09

Across the last 100 tracked matches.

Faceit stats

Combat

5Matches
40%Win rate
0.59Avg K/D
53.4ADR
52%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2367%0.7113.0
Mirage10%0.388.0
Nuke10%0.448.0

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.

18.3%Headshot accuracy
27.3%Accuracy (enemy spotted)
28.2%Spray accuracy
77.4%Counter-strafing
7.3°Preaim
689msReaction time
21.4%T opening success
32.4%CT opening success
0.50Enemies flashed / flash
6.8%Flash assists
8.18HE damage / grenade
3.04Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0407 — below the 4 mark we flag

    Grenade Lineups →
  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 21.3729% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–2-0.0913%9 Sept →
dust213–8-0.0927%9 Sept →
office13–3-0.0615%6 Sept →
office13–20.0430%20 Aug →
office6–13-0.0315%20 Aug →
office8–13-0.108%18 Aug →
office12–12-0.0412%12 Aug →
office11–13-0.0419%12 Aug →
office13–10-0.0211%12 Aug →
office10–13-0.036%11 Aug →
office4–13-0.1021%10 Aug →
office7–13-0.0220%10 Aug →
office7–13-0.0913%7 Aug →
office6–13-0.0319%7 Aug →
office12–12-0.0317%4 Aug →
office3–13-0.0417%4 Aug →
cache1–12-0.060%31 Jul →
cache5–13-0.0631%31 Jul →
office13–110.0115%31 Jul →
office13–7-0.0024%31 Jul →
office9–13-0.0318%30 Jul →
office9–13-0.0317%30 Jul →
office13–3-0.055%29 Jul →
mirage8–13-0.090%29 Jul →
ancient6–13-0.0736%29 Jul →
mirage4–13-0.0829%29 Jul →
cache13–100.0925%28 Jul →
mirage6–130.0324%27 Jul →
office7–13-0.0432%27 Jul →
office9–13-0.0432%27 Jul →
dust25–13-0.0815%27 Jul →
inferno13–6-0.0320%27 Jul →
cache8–10.0229%27 Jul →
cache13–9-0.0130%26 Jul →
mirage10–130.019%24 Jul →
office11–13-0.0814%22 Jul →
office11–13-0.0514%20 Jul →
inferno13–3-0.0413%20 Jul →
dust21–9-0.0714%20 Jul →
cache13–10.0325%20 Jul →
office4–13-0.0530%20 Jul →
office11–130.0131%17 Jul →
cache9–13-0.0625%17 Jul →
inferno13–11-0.0632%17 Jul →
office7–13-0.1133%17 Jul →
office13–9-0.0265%17 Jul →
office13–3-0.0138%17 Jul →
office13–30.0433%16 Jul →
dust213–9-0.0336%15 Jul →
cache13–7-0.0242%15 Jul →
shelter5–13-0.1329%15 Jul →
shelter7–3-0.0717%15 Jul →
office12–12-0.0525%8 Jul →
dust213–70.006%6 Jul →
mirage13–50.0331%6 Jul →
dust213–50.0933%6 Jul →
office8–13-0.1212%6 Jul →
nuke4–13-0.0814%5 Jul →
office13–10-0.0526%1 Jul →
office12–12-0.0227%28 Jun →
office13–60.0632%28 Jun →
office12–12-0.0211%28 Jun →
office7–50.0321%25 Jun →
dust24–13-0.0910%24 Jun →
nuke13–11-0.0518%24 Jun →
office7–13-0.0127%23 Jun →
office4–13-0.107%23 Jun →
mirage13–4-0.0233%14 Jun →
dust29–13-0.0614%14 Jun →
office3–13-0.1018%11 Jun →
inferno11–13-0.0614%11 Jun →
dust213–10-0.104%11 Jun →
cache13–9-0.0216%10 Jun →
office10–13-0.0919%10 Jun →
mirage2–13-0.0814%10 Jun →
anubis15–15-0.0215%10 Jun →
dust213–0-0.019%10 Jun →
dust213–0-0.0233%10 Jun →
mirage13–10-0.0317%10 Jun →
office13–2-0.0225%10 Jun →
office7–13-0.0729%10 Jun →
office13–9-0.0614%10 Jun →
dust24–13-0.1013%10 Jun →
nuke3–13-0.086%10 Jun →
dust213–9-0.0121%9 Jun →
dust28–13-0.090%8 Jun →
mirage10–13-0.076%8 Jun →
dust213–6-0.0416%8 Jun →
mirage11–13-0.0522%8 Jun →
inferno13–6-0.0538%8 Jun →
overpass5–13-0.0931%8 Jun →
dust213–6-0.0820%8 Jun →
dust213–6-0.0525%8 Jun →
mirage13–10-0.0242%8 Jun →
ancient13–11-0.0722%3 Jun →
inferno13–80.0036%3 Jun →
inferno3–13-0.109%3 Jun →
office13–11-0.0550%1 Jun →
nuke12–12-0.036%31 May →
cache12–12-0.0833%31 May →

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 →