[Professor Macnelius Klejnelius]

[Professor Macnelius Klejnelius] — CS2 Stats

DK76561198077066298[U:1:116800570]Steam profile ↗✓ No bans

2,261Tracked matches57%Win rate2020Tracked since
5,085Hours in CS50Hrs last 2 wks
CSDB Rating6.6 SolidSupport
FaceitLevel 10 · 2,377 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,377 → 2,377
+55Tracked matches · now 2,261
+3.3ppWin rate · 53.3% → 56.7%

Rating over time

Faceit ELO: 2,377 +0 14 Sept – 18 Sept · 3 observations
2,3772,377peak 2,37714 Sept18 Sept
2,377Highest Faceit ELO seen on CSDB
46Days played since 2026-06-23

Faceit ELO

  • At peak — 2,377
  • Next: 2,500 ELO at 2,500 — 123 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-14
  • Level 9 first seen 2026-09-14

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate46.0%50.9%
Shot accuracy10.3%13.7%
Kill/death ratio1.031.09
Match win rate41.9%48.4%

Share this profile

CSDB.GG[Professor Macnelius Klej…FACEITLevel 10 · 2,377 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,377csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84
Positioning54
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateWWLWWLLLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.2pp headshot accuracy · −62ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 447ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 445ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 477ms

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 (+1.8 against its own average).

Aim8.4
Utility6.3
Positioning5.4
Opening Duels3.0
Clutch3.4

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

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4
Positioning5.4
Utility6.3
Mechanics6.5
Opening Duels3.5
Win Impact7.2

Composite 6.6/10 (Solid), 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 -0.00 → last ⅓ avg -0.01
Reaction time476ms−56ms
first ⅓ avg 532ms → last ⅓ avg 476ms
Headshot accuracy12.2%−1.5%
first ⅓ avg 13.8% → last ⅓ avg 12.2%

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

0.11Best match rating · 13–4 · ancient, 28 Aug →
26%Best headshot accuracy · 4–13 · ancient, 30 Jul →
297msFastest reaction time · 7–13 · ancient, 24 Aug →
13–3Biggest win · vertigo, 13 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
13–13In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 65% over 26cacheWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
ancientA3419–1556%-0.01
anubisS2617–965%-0.02
nukeA149–564%-0.00
cacheB136–746%-0.02
mirageB63–350%-0.01
inferno—30–30%-0.02
dust2—21–150%-0.00
vertigo—22–0100%0.07

Across the last 100 tracked matches.

Lifetime stats

115,415Lifetime kills
1.03K/D
4,473Matches
41.9%Match win rate
46.0%Headshot %
10.3%Shot accuracy
12,815MVPs
2,356Hours (in match)
3,449Bombs planted
1,957Bombs defused

Most-used weapons

AK-4749,199
AWP6,917
MP93,821
MAC-103,131
Knife2,062

Lifetime map wins

9,012nuke
6,709inferno
2,958dust2
2,660vertigo
1,756train
1,225lake
374cbble
302office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2,084Matches
52%Win rate
1.06Avg K/D
76.6ADR
40%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient34454%1.0414.8
Anubis30253%1.0215.6
Nuke27155%1.0815.9
Inferno20649%1.0415.7
Mirage10046%0.9813.7
Overpass8741%1.0314.3
Dust25147%1.0414.3
Train4252%0.9213.7

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.

12.4%Headshot accuracy
37.9%Accuracy (enemy spotted)
43.5%Spray accuracy
79.1%Counter-strafing
8.2°Preaim
474msReaction time
47.1%T opening success
40.5%CT opening success
0.67Enemies flashed / flash
10.0%Flash assists
7.25HE damage / grenade
11.22Flashes / 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 12.4487% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0210%24 Oct →
anubis13–9-0.0316%22 Oct →
ancient4–13-0.048%20 Oct →
ancient13–60.0119%20 Oct →
anubis13–10-0.0111%20 Oct →
mirage6–13-0.0213%18 Oct →
cache9–13-0.0611%18 Oct →
inferno13–160.0010%18 Oct →
ancient13–11-0.0312%13 Oct →
anubis22–180.0011%12 Oct →
ancient7–130.0119%12 Oct →
nuke13–70.0016%12 Oct →
cache13–40.048%6 Oct →
ancient13–11-0.0217%6 Oct →
cache9–13-0.0310%4 Oct →
cache7–13-0.0317%1 Oct →
anubis13–90.0021%25 Sept →
cache13–5-0.029%25 Sept →
nuke11–13-0.064%25 Sept →
ancient11–13-0.0014%25 Sept →
inferno6–13-0.0714%24 Sept →
ancient13–10-0.0514%24 Sept →
ancient16–19-0.038%22 Sept →
cache16–140.0012%17 Sept →
nuke5–00.0618%17 Sept →
ancient5–13-0.066%17 Sept →
anubis13–70.019%17 Sept →
nuke16–140.0110%17 Sept →
cache8–13-0.0418%17 Sept →
nuke13–40.0521%8 Sept →
ancient13–80.026%5 Sept →
anubis9–13-0.0311%4 Sept →
anubis8–13-0.053%3 Sept →
anubis9–13-0.0717%3 Sept →
cache13–11-0.0213%3 Sept →
anubis5–13-0.0410%3 Sept →
dust213–50.0013%2 Sept →
nuke13–11-0.0010%1 Sept →
anubis16–14-0.0211%31 Aug →
mirage13–8-0.0210%30 Aug →
anubis13–11-0.0112%30 Aug →
nuke11–130.0216%30 Aug →
ancient13–40.117%28 Aug →
anubis7–130.0216%28 Aug →
nuke13–60.0311%27 Aug →
cache13–50.0515%26 Aug →
cache17–19-0.0510%26 Aug →
cache13–50.026%26 Aug →
ancient8–13-0.0810%26 Aug →
ancient7–13-0.0515%24 Aug →
anubis12–160.017%23 Aug →
cache5–13-0.0414%23 Aug →
nuke11–13-0.0410%20 Aug →
ancient7–13-0.0217%20 Aug →
ancient13–11-0.0413%19 Aug →
cache20–22-0.0411%16 Aug →
mirage17–19-0.0111%16 Aug →
nuke5–13-0.0512%15 Aug →
anubis16–13-0.017%15 Aug →
anubis19–170.019%15 Aug →
anubis13–10-0.0412%14 Aug →
anubis13–11-0.0019%14 Aug →
anubis10–6-0.0124%14 Aug →
ancient13–50.0420%13 Aug →
vertigo13–30.0415%13 Aug →
nuke13–8-0.0012%12 Aug →
anubis11–13-0.0213%12 Aug →
ancient13–60.069%11 Aug →
ancient13–40.0214%11 Aug →
ancient13–6-0.019%6 Aug →
mirage13–80.0411%4 Aug →
ancient13–50.0313%4 Aug →
ancient11–13-0.0014%3 Aug →
ancient5–13-0.0814%3 Aug →
ancient13–60.0014%3 Aug →
inferno10–130.027%2 Aug →
mirage13–16-0.007%2 Aug →
mirage13–6-0.028%2 Aug →
ancient4–10-0.0515%1 Aug →
ancient4–13-0.0526%30 Jul →
anubis6–13-0.0212%30 Jul →
anubis14–160.0011%30 Jul →
ancient13–40.0011%30 Jul →
ancient11–13-0.0311%30 Jul →
nuke13–90.0118%30 Jul →
anubis13–9-0.0120%30 Jul →
nuke3–13-0.0418%30 Jul →
vertigo13–100.1019%17 Jul →
nuke7–1-0.0419%17 Jul →
ancient11–130.0017%17 Jul →
anubis16–14-0.057%17 Jul →
anubis13–4-0.0119%17 Jul →
ancient13–70.0313%17 Jul →
ancient13–4-0.055%12 Jul →
dust210–13-0.0113%12 Jul →
anubis13–9-0.0115%12 Jul →
ancient13–50.1022%10 Jul →
ancient13–90.0215%9 Jul →
anubis19–17-0.0216%7 Jul →
ancient11–130.0111%23 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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