Manitalissimus Geximus

Manitalissimus Geximus — CS2 Stats

FI76561197979095601[U:1:18829873]Steam profile ↗✓ No bans

1,534Tracked matches57%Win rate2020Tracked since
4,408Hours in CS20Hrs last 2 wks
CSDB Rating6.0 SolidSupport
CSDB Leaderboard#58296 of 232252 tracked
FaceitLevel 9 · 1,845 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 17 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,444 +1,669 9 Jan30 May · 2 days played
19,77521,444peak 21,4449 Jan30 May
21,560Peak Premier in tracked matches
1,845Highest Faceit ELO seen on CSDB
47Days played since 2025-08-17

Faceit ELO

  • At peak — 1,845
  • Next: Level 10 at 2,001 156 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=13,320), 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 9 medianLevel 10 medianvs Level 10
Headshot rate50.0%48.3%51.0%meets
Shot accuracy11.2%13.2%13.7%2.5% short
Kill/death ratio1.151.071.09above
Match win rate43.8%46.9%48.4%4.6% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGManitalissimus GeximusFACEITLevel 9 · 1,845 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,845csdb.gg/stats

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Performance scores

Aim68
Positioning60
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateTLWWLLWWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +5.1pp headshot accuracy · −47ms reaction

Win rate 0pp 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

  • 221 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 552ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 546ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 569ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim6.8
Utility6.7
Positioning6.0
Opening Duels2.9
Clutch4.4

Effective flashes

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 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 579ms 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

Aim6.8
Positioning6.0
Utility6.7
Mechanics6.7
Opening Duels3.0
Win Impact7.4

Composite 6.0/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time574ms−39ms
first ⅓ avg 614ms → last ⅓ avg 574ms
Headshot accuracy17.9%−1.4%
first ⅓ avg 19.3% → last ⅓ avg 17.9%

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

0.20Best match rating · 13–1 · dust2, 30 May
45%Best headshot accuracy · 13–7 · dust2, 14 Sept
438msFastest reaction time · 17–19 · ancient, 6 Sept
13–1Biggest win · dust2, 30 May

Across the last 100 tracked matches.

Highlights

8Longest win streak
1310In matches decided by ≤2 rounds
17Overtime games

Map breakdown

dust2Best map · 60% over 20nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientC2391439%0.01
infernoA2112957%0.02
dust2A2012860%0.02
anubisC125742%0.02
nukeD82625%0.01
mirageB63350%0.00
overpassC52340%-0.03
cache31233%0.03
train2020%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

167,136Lifetime kills
1.15K/D · Top 50% of Level 9 players
5,842Matches
43.8%Match win rate
50.0%Headshot % · Top 50% of Level 9 players
11.2%Shot accuracy
19,711MVPs
2,759Hours (in match)
5,016Bombs planted
3,956Bombs defused

Most-used weapons

AK-4779,527
AWP11,761
P2502,653
SSG 082,098
Tec-91,891

Lifetime map wins

20,218dust2
12,317inferno
3,503nuke
2,679train
1,801cbble
996vertigo
165office
87aztec

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

Faceit stats

Combat

1,055Matches
51%Win rate
1.22Avg K/D
82.2ADR
43%Headshot %

Clutches & streaks

42%1v1 clutch win
15%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno12255%1.2215.9
Anubis10955%1.2717.7
Dust29347%1.1816.6
Mirage7050%1.0015.1
Ancient6742%1.1717.0
Nuke6761%1.1716.3
Overpass2854%1.1015.1
Train2343%1.1218.2

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.

18.0%Headshot accuracy
33.6%Accuracy (enemy spotted)
38.6%Spray accuracy
80.1%Counter-strafing
10.7°Preaim
579msReaction time
36.8%T opening success
47.4%CT opening success
0.71Enemies flashed / flash
11.6%Flash assists
8.58HE damage / grenade
10.39Flashes / 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 36.7844% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis15–15-0.0111%18 Sept
ancient10–13-0.0116%14 Sept
dust213–70.0345%14 Sept
anubis13–50.0416%14 Sept
nuke7–13-0.0136%6 Sept
ancient17–19-0.0120%6 Sept
anubis13–7-0.0019%30 Aug
dust213–40.0313%30 Aug
dust29–13-0.0312%28 Aug
ancient13–50.0820%28 Aug
dust213–90.0321%28 Aug
inferno13–110.0315%28 Aug
ancient4–130.0314%16 Aug
ancient13–60.0820%16 Aug
cache13–16-0.0217%14 Aug
anubis13–50.047%12 Aug
inferno9–13-0.069%12 Aug
ancient6–13-0.0418%12 Aug
dust213–110.0823%10 Aug
nuke17–190.0314%9 Aug
inferno16–120.0118%7 Aug
inferno14–16-0.0116%7 Aug
ancient13–11-0.0410%31 Jul
dust216–130.0423%30 Jul
anubis8–130.0221%30 Jul
dust213–90.0521%30 Jul
nuke9–13-0.0326%30 Jul
inferno13–11-0.0111%24 Jul
mirage15–150.0216%24 Jul
nuke13–110.0618%19 Jul
mirage13–11-0.0217%19 Jul
anubis13–110.0217%19 Jul
inferno9–130.0013%30 May
dust213–10.2017%30 May
anubis8–130.037%23 May
nuke13–11-0.0223%23 May
ancient13–50.0533%23 May
cache13–40.0314%23 May
ancient5–13-0.0317%19 May
anubis8–13-0.018%19 May
cache3–130.0815%16 May
inferno7–130.0612%16 May
nuke5–130.0827%16 May
mirage13–40.0216%13 May
ancient16–14-0.0115%13 May
inferno13–90.0217%13 May
inferno13–110.0126%5 May
dust213–70.0115%5 May
dust213–100.0017%18 Apr
inferno13–6-0.0119%18 Apr
ancient13–3-0.0410%18 Apr
anubis15–15-0.0117%11 Apr
anubis13–100.0118%16 Feb
anubis4–13-0.0126%16 Feb
ancient8–13-0.0223%9 Feb
ancient13–80.0317%28 Jan
anubis11–130.0720%24 Jan
mirage3–13-0.0913%24 Jan
dust213–60.0530%24 Jan
nuke6–130.0315%19 Jan
inferno3–130.0124%9 Jan
ancient8–13-0.0015%9 Jan
dust216–140.0120%9 Jan
inferno13–40.1024%9 Jan
ancient13–70.0423%8 Jan
inferno6–13-0.0110%8 Jan
overpass13–30.0311%8 Jan
dust25–13-0.0327%20 Dec
inferno13–70.0515%20 Dec
inferno8–130.0320%13 Dec
overpass6–13-0.1019%13 Dec
ancient8–13-0.0316%29 Nov
inferno13–11-0.0326%29 Nov
overpass13–8-0.0316%29 Nov
ancient9–130.0320%26 Oct
train9–13-0.0415%15 Oct
ancient9–130.0414%15 Oct
dust26–13-0.0523%12 Oct
ancient14–160.0118%11 Oct
inferno13–80.0515%11 Oct
inferno3–13-0.0328%5 Oct
ancient16–120.0011%28 Sept
dust213–9-0.0623%19 Sept
ancient6–130.0216%19 Sept
train4–13-0.0627%19 Sept
inferno16–14-0.0111%19 Sept
mirage8–130.0120%16 Sept
dust27–13-0.0317%16 Sept
inferno11–130.0729%14 Sept
overpass5–13-0.0515%7 Sept
dust214–160.1019%7 Sept
ancient5–13-0.0113%5 Sept
overpass13–160.0026%5 Sept
dust214–16-0.0218%5 Sept
mirage13–100.0922%5 Sept
inferno13–90.0510%5 Sept
dust211–130.0720%31 Aug
dust24–13-0.0227%24 Aug
ancient11–130.0521%17 Aug
nuke3–13-0.0821%17 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →