monni

monni — CS2 Stats

FI76561198161383983[U:1:201118255]Steam profile ↗✓ No bans

1,954Tracked matches50%Win rate2020Tracked since
3,655Hours in CS12Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
FaceitLevel 7 · 1,578 ELOTop 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,578 → 1,578
+44Tracked matches · now 1,954
−10.0ppWin rate · 60.0% → 50.0%

Rating over time

Faceit ELO: 1,578 +0 18 Sept – 23 Sept · 2 observations
1,5781,578peak 1,57818 Sept23 Sept
1,578Highest Faceit ELO seen on CSDB
41Days played since 2026-08-03

Faceit ELO

  • At peak — 1,578
  • Next: Level 9 at 1,751 — 173 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-18
  • Level 7 first seen 2026-09-18

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate39.0%45.7%46.8%7.8% short
Shot accuracy13.8%12.7%13.0%above
Kill/death ratio1.001.051.060.06 short
Match win rate43.0%45.7%46.3%3.3% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmonniFACEITLevel 7 · 1,578 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,578csdb.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

Aim58
Positioning63
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWWWLWLLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −3.7pp headshot accuracy · −36ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 583ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 601ms

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).

Aim5.8
Utility6.6
Positioning6.3
Opening Duels2.8
Clutch3.6

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

iM

Plays most like iM 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 576ms 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

Aim5.8
Positioning6.3
Utility6.6
Mechanics5.2
Opening Duels4.2
Win Impact5.0

Composite 5.4/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time587ms−22ms
first ⅓ avg 609ms → last ⅓ avg 587ms
Headshot accuracy15.8%+1.5%
first ⅓ avg 14.3% → last ⅓ avg 15.8%

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

0.12Best match rating · 13–8 · nuke, 30 Oct →
30%Best headshot accuracy · 9–13 · nuke, 10 Oct →
359msFastest reaction time · 8–13 · anubis, 19 Oct →
13–2Biggest win · inferno, 20 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–12In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 63% over 8anubisWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB2512–1348%-0.03
nukeA2314–961%-0.01
anubisD206–1430%-0.03
ancientA1911–858%-0.02
cacheA85–363%-0.00
dust2—32–167%-0.04
mirage—20–20%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,945Lifetime kills
1.00K/D
4,691Matches
43.0%Match win rate
39.0%Headshot %
13.8%Shot accuracy · Top 50% of Level 7 players
9,627MVPs
2,333Hours (in match)
5,743Bombs planted
1,631Bombs defused

Most-used weapons

AK-4735,420
AWP8,019
P2503,688
MP92,995
MAC-102,310

Lifetime map wins

11,750inferno
3,963train
3,910nuke
1,041cbble
769dust2
633vertigo
62office
14lake

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

Faceit stats

Combat

1,367Matches
50%Win rate
1.04Avg K/D
69.8ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno20652%1.0414.3
Anubis18052%1.0415.0
Ancient15851%0.9814.0
Nuke14448%0.9413.4
Overpass4466%1.2115.8
Mirage2825%0.8011.9
Vertigo2223%0.8813.8
Train1010%0.8112.7

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.

16.2%Headshot accuracy
32.0%Accuracy (enemy spotted)
37.7%Spray accuracy
73.6%Counter-strafing
10.5°Preaim
576msReaction time
52.6%T opening success
40.6%CT opening success
0.66Enemies flashed / flash
8.1%Flash assists
10.94HE damage / grenade
6.11Flashes / match

Recommended for you

Spend your practice time on Anubis

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

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient17–190.0218%1 Nov →
nuke13–80.0421%1 Nov →
dust213–7-0.049%1 Nov →
nuke13–11-0.0319%30 Oct →
cache10–13-0.0117%30 Oct →
nuke13–80.1212%30 Oct →
anubis13–16-0.0712%29 Oct →
inferno20–22-0.0223%29 Oct →
inferno9–13-0.0112%25 Oct →
ancient13–4-0.028%25 Oct →
inferno13–10-0.0316%23 Oct →
ancient9–130.0124%23 Oct →
inferno7–13-0.0526%23 Oct →
anubis13–30.0228%22 Oct →
dust213–110.0116%22 Oct →
inferno5–13-0.0624%20 Oct →
nuke8–13-0.0114%20 Oct →
inferno13–20.0718%20 Oct →
ancient13–110.0214%19 Oct →
anubis8–13-0.0310%19 Oct →
ancient9–130.0120%19 Oct →
inferno10–13-0.0811%13 Oct →
anubis13–110.0215%11 Oct →
inferno13–4-0.054%11 Oct →
nuke9–13-0.0230%10 Oct →
ancient13–11-0.044%10 Oct →
inferno13–80.0213%10 Oct →
inferno13–10-0.0019%9 Oct →
nuke11–13-0.0416%9 Oct →
anubis12–16-0.0612%9 Oct →
inferno4–13-0.0618%9 Oct →
ancient13–9-0.0712%4 Oct →
anubis9–13-0.047%4 Oct →
inferno6–130.018%1 Oct →
ancient7–13-0.0611%1 Oct →
cache13–110.0417%1 Oct →
anubis6–13-0.0814%30 Sept →
nuke2–13-0.0525%30 Sept →
inferno19–170.0118%30 Sept →
dust211–13-0.0911%29 Sept →
anubis8–13-0.0217%29 Sept →
anubis13–10-0.0410%24 Sept →
nuke4–13-0.0911%24 Sept →
ancient13–7-0.0121%24 Sept →
ancient13–50.009%23 Sept →
nuke6–13-0.039%22 Sept →
inferno5–13-0.0811%20 Sept →
nuke13–7-0.0115%20 Sept →
ancient13–8-0.0116%19 Sept →
inferno13–5-0.0420%19 Sept →
nuke13–8-0.0422%19 Sept →
inferno13–6-0.0121%13 Sept →
nuke13–100.0018%13 Sept →
anubis11–13-0.096%12 Sept →
ancient13–80.0412%12 Sept →
nuke13–10-0.024%12 Sept →
nuke13–90.0016%11 Sept →
ancient13–4-0.0418%11 Sept →
inferno16–140.0418%11 Sept →
nuke13–11-0.0310%10 Sept →
anubis6–130.0114%10 Sept →
inferno11–13-0.0610%10 Sept →
mirage4–13-0.0413%6 Sept →
anubis10–13-0.0315%6 Sept →
cache1–13-0.1111%3 Sept →
nuke13–40.0210%2 Sept →
anubis25–22-0.0213%2 Sept →
ancient4–13-0.0511%2 Sept →
anubis16–130.0113%1 Sept →
inferno11–130.0116%1 Sept →
inferno11–13-0.0511%30 Aug →
cache13–6-0.037%30 Aug →
nuke13–7-0.0224%23 Aug →
ancient6–13-0.0111%23 Aug →
cache13–90.028%23 Aug →
mirage17–19-0.0614%22 Aug →
inferno13–7-0.0412%22 Aug →
nuke16–120.0116%22 Aug →
anubis5–13-0.0719%21 Aug →
nuke8–13-0.0315%21 Aug →
inferno10–13-0.1013%21 Aug →
inferno13–11-0.0120%20 Aug →
anubis13–60.0120%20 Aug →
ancient13–7-0.0212%20 Aug →
ancient9–13-0.0517%16 Aug →
nuke6–13-0.0111%16 Aug →
nuke13–8-0.058%14 Aug →
cache13–70.0423%14 Aug →
anubis8–130.0612%14 Aug →
ancient13–16-0.0412%13 Aug →
anubis11–13-0.066%13 Aug →
inferno13–5-0.0113%12 Aug →
cache9–13-0.019%12 Aug →
anubis10–13-0.050%12 Aug →
anubis14–160.0315%10 Aug →
ancient13–20.0120%10 Aug →
cache13–20.0313%10 Aug →
inferno13–16-0.0423%4 Aug →
nuke13–11-0.0317%4 Aug →
nuke14–160.0329%3 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 →

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