[Tp:B] Monsi | Andi

[Tp:B] Monsi | Andi — CS2 Stats

DE76561197960305311[U:1:39583]Steam profile ↗✓ No bans

2,380Tracked matches47%Win rate2023Tracked since
2,701Hours in CS22Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
FaceitLevel 8 · 1,905 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,905 → 1,905
+63Tracked matches · now 2,380
−13.3ppWin rate · 60.0% → 46.7%

Rating over time

Premier CS Rating: 18,512 -136 1 Apr – 18 Jun · 8 days played
18,51219,683peak 19,6831 Apr18 Jun
19,799Peak Premier in tracked matches
1,905Highest Faceit ELO seen on CSDB
43Days played since 2026-04-01

Faceit ELO

  • At peak — 1,905
  • Next: Level 10 at 2,001 — 96 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches45——
Win rate49%——
K/D0.91——
Headshot %44%——

Measured 9 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,773), 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 8 medianLevel 9 medianvs Level 9
Headshot rate43.0%46.8%48.2%5.2% short
Shot accuracy4.8%13.0%13.3%8.5% short
Kill/death ratio0.891.061.070.18 short
Match win rate50.4%46.3%46.9%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG[Tp:B] Monsi | AndiFACEITLevel 8 · 1,905 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,905csdb.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

Aim44
Positioning42
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateWWLWLLWWLL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −1.0pp headshot accuracy · −2ms reaction

Win rate up 20pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 555ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 546ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 547ms

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 (+3.7 against its own average).

Aim4.4
Utility7.4
Positioning4.2
Opening Duels0.0
Clutch3.4

Strong CT-side opener

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

b1t

Plays most like b1t 60% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4
Positioning4.2
Utility7.4
Mechanics3.9
Opening Duels1.2
Win Impact3.9

Composite 4.1/10 (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-0.02+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time523ms−123ms
first ⅓ avg 646ms → last ⅓ avg 523ms
Headshot accuracy14.4%−2.9%
first ⅓ avg 17.3% → last ⅓ avg 14.4%

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

0.18Best match rating · 13–6 · shelter, 15 Jul →
33%Best headshot accuracy · 13–6 · inferno, 21 May →
406msFastest reaction time · 7–13 · dust2, 24 Aug →
13–1Biggest win · boulder, 15 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
6–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 86% over 7anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB3216–1650%-0.02
ancientA169–756%-0.02
dust2A169–756%-0.03
cacheS76–186%-0.02
nukeD62–433%-0.02
boulderD62–433%0.03
anubisD51–420%-0.04
mirage—41–325%-0.05
fachwerk—22–0100%0.01
shelter—22–0100%0.08
vertigo—10–10%-0.07
poseidon—10–10%0.03
eldorado—10–10%-0.02
debris—10–10%-0.16

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,882Lifetime kills
0.89K/D
3,230Matches
50.4%Match win rate · Top 25% of Level 8 players
43.0%Headshot %
4.8%Shot accuracy
5,262MVPs
1,254Hours (in match)
3,487Bombs planted
828Bombs defused

Most-used weapons

AK-476,659
MP95,202
MAC-103,620
FAMAS2,447
Tec-91,430
MP71,176

Lifetime map wins

8,737inferno
4,540dust2
1,970nuke
712vertigo
396train
186office
78italy
49lake

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

Faceit stats

Combat

1,042Matches
52%Win rate
0.84Avg K/D
65.7ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno27557%0.8812.6
Dust220647%0.8111.8
Ancient19256%0.8512.7
Anubis15646%0.8012.0
Nuke7851%0.9112.6
Mirage5040%0.7611.4
Overpass3063%1.0113.0
Cache2458%0.7410.8

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.

14.9%Headshot accuracy
32.5%Accuracy (enemy spotted)
30.8%Spray accuracy
67.8%Counter-strafing
13.0°Preaim
527msReaction time
22.8%T opening success
39.3%CT opening success
0.64Enemies flashed / flash
6.9%Flash assists
11.04HE damage / grenade
11.18Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9918° — above the 12° mark we flag

    Aim Training →
  2. 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 14.8681% — below the 15% mark we flag

    Aim Training →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–110.0112%7 Oct →
dust216–13-0.0210%5 Oct →
vertigo6–13-0.0724%1 Oct →
dust213–80.0124%1 Oct →
inferno10–13-0.0421%22 Sept →
dust28–13-0.0212%21 Sept →
nuke13–80.0313%21 Sept →
dust213–50.0110%21 Sept →
ancient5–13-0.0715%21 Sept →
inferno6–13-0.026%17 Sept →
nuke13–16-0.0018%16 Sept →
nuke10–13-0.0017%14 Sept →
ancient13–110.018%14 Sept →
inferno11–13-0.0218%9 Sept →
inferno9–13-0.0310%8 Sept →
ancient11–13-0.0716%7 Sept →
inferno13–5-0.0012%7 Sept →
inferno13–90.0623%31 Aug →
dust210–13-0.0519%31 Aug →
inferno5–13-0.0615%26 Aug →
cache6–13-0.0712%26 Aug →
inferno13–9-0.0111%25 Aug →
dust213–4-0.0516%25 Aug →
inferno13–90.0013%24 Aug →
dust27–13-0.039%24 Aug →
dust213–8-0.0520%24 Aug →
ancient13–50.0116%24 Aug →
inferno13–110.0622%24 Aug →
dust27–13-0.0514%24 Aug →
ancient16–19-0.0411%19 Aug →
anubis2–13-0.064%19 Aug →
ancient5–13-0.0413%19 Aug →
dust213–5-0.0412%17 Aug →
cache13–9-0.0117%17 Aug →
inferno13–7-0.0117%17 Aug →
cache13–10-0.0211%14 Aug →
inferno13–90.0221%14 Aug →
inferno20–22-0.0214%10 Aug →
inferno8–13-0.0721%10 Aug →
inferno10–130.008%22 Jul →
poseidon5–90.0325%20 Jul →
cache13–7-0.0120%19 Jul →
cache13–50.0425%19 Jul →
dust211–13-0.0025%19 Jul →
eldorado6–9-0.0224%19 Jul →
debris2–9-0.1617%19 Jul →
inferno13–8-0.0415%16 Jul →
boulder9–13-0.039%15 Jul →
fachwerk13–11-0.0114%15 Jul →
fachwerk13–70.0220%15 Jul →
boulder13–90.0216%15 Jul →
shelter13–9-0.0231%15 Jul →
boulder3–130.0618%15 Jul →
shelter13–60.1823%15 Jul →
boulder13–10.1417%15 Jul →
boulder4–13-0.0430%15 Jul →
boulder10–130.0522%13 Jul →
inferno13–10.1012%8 Jul →
inferno6–13-0.0516%3 Jul →
inferno2–13-0.0524%3 Jul →
cache19–17-0.0115%3 Jul →
inferno13–10-0.0712%2 Jul →
ancient19–16-0.048%2 Jul →
inferno11–13-0.0419%1 Jul →
ancient9–13-0.0314%21 Jun →
inferno13–10-0.0513%18 Jun →
inferno5–13-0.0213%18 Jun →
ancient13–10-0.019%16 Jun →
ancient7–13-0.0619%15 Jun →
inferno8–13-0.0631%15 Jun →
ancient10–130.0125%15 Jun →
mirage10–13-0.0331%2 Jun →
inferno13–9-0.078%2 Jun →
inferno13–4-0.0119%31 May →
cache13–2-0.0614%31 May →
nuke13–90.0015%31 May →
anubis8–13-0.0117%28 May →
dust213–5-0.0612%28 May →
mirage7–13-0.0424%28 May →
dust213–40.0212%28 May →
inferno13–6-0.0133%21 May →
inferno6–13-0.0919%5 May →
inferno10–13-0.1013%5 May →
ancient13–8-0.0124%5 May →
inferno13–6-0.0512%5 May →
inferno5–13-0.0517%27 Apr →
ancient13–100.0517%27 Apr →
ancient13–9-0.0310%27 Apr →
nuke10–13-0.086%13 Apr →
dust26–13-0.0916%12 Apr →
anubis16–14-0.027%12 Apr →
mirage13–9-0.0617%8 Apr →
dust22–13-0.0518%8 Apr →
nuke9–13-0.0425%8 Apr →
anubis4–13-0.0617%8 Apr →
ancient13–70.0110%8 Apr →
dust213–9-0.0419%8 Apr →
inferno13–70.0313%8 Apr →
mirage2–13-0.0724%1 Apr →
anubis8–13-0.0418%1 Apr →

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 →

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