MonTy_4K

MonTy_4K — CS2 Stats

DK76561198047669707[U:1:87403979]Steam profile ↗

655Tracked matches40%Win rate2020Tracked since
4,372Hours in CS3Hrs last 2 wks
CSDB Rating4.3 Developing
Ladder ranks via Leetify

Performance scores

Aim52
Positioning52
Utility53

0–100 skill scores via Leetify.

Recent form

COLD44524Last 10044%Win rateLWLLLLLLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim5.2
Aggression5.9
Utility5.3
Positioning5.2
Opening Duels1.6
Clutch4.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 671ms 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

Aim5.2
Positioning5.2
Utility5.3
Mechanics6.8
Opening Duels1.7
Win Impact1.7

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time686ms−24ms
first ⅓ avg 710ms → last ⅓ avg 686ms
Headshot accuracy16.5%−1.0%
first ⅓ avg 17.6% → last ⅓ avg 16.5%

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.

Highlights

0.12Best rating — ancient 13–11
132Biggest win — dust2
4Longest win streak
86In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 100% over 6ancientWeakest map · 22% over 23
MapGradePlayedRecordWin rateAvg rating
ancientD2351822%0.00
infernoB20101050%-0.00
nukeD1651131%-0.01
trainA117464%-0.00
mirageD93633%-0.01
anubisA85363%-0.00
overpassS660100%-0.01
dust2A53260%-0.04
cache1010%-0.09
vertigo1010%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,745Lifetime kills
1.14K/D · Top 50% of tracked players
5,021Matches
44.6%Match win rate
49.2%Headshot % · Top 50% of tracked players
15.0%Shot accuracy · Top 50% of tracked players
9,118MVPs
2,236Hours (in match)
7,277Bombs planted
1,003Bombs defused

Most-used weapons

AK-4731,834
P2508,331
FAMAS6,215
AWP4,399
AUG4,240

Lifetime map wins

9,923inferno
8,230dust2
4,550nuke
2,724vertigo
1,546train
1,477office
727cbble
474militia

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

Faceit stats

Combat

1,000Matches
50%Win rate
0.91Avg K/D
73.6ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3155%1.0113.8
Ancient2857%0.9313.4
Anubis2536%0.8613.8
Mirage1638%0.7712.4
Nuke1567%0.6410.7
Dust21070%0.9011.6
Vertigo1070%0.7910.9
Train771%1.3218.0

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.

17.0%Headshot accuracy
30.6%Accuracy (enemy spotted)
32.5%Spray accuracy
80.7%Counter-strafing
9.7°Preaim
671msReaction time
29.2%T opening success
44.0%CT opening success
0.46Enemies flashed / flash
2.6%Flash assists
10.16HE damage / grenade
6.85Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4601 — below the 0.5 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 29.1978% — below the 40% mark we flag

Spend your practice time on Ancient

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

22% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0616%26 Aug
ancient13–40.0722%25 Aug
nuke11–13-0.0020%25 Aug
mirage5–13-0.059%23 Aug
ancient7–13-0.036%5 Aug
inferno6–13-0.0615%21 May
ancient8–13-0.0516%11 May
nuke0–13-0.0123%11 May
nuke13–7-0.019%11 May
cache9–13-0.0914%6 May
ancient13–80.0014%27 Apr
nuke13–10-0.0319%27 Apr
inferno13–30.0918%23 Apr
inferno5–13-0.0114%22 Apr
ancient10–130.0113%20 Apr
overpass13–100.0225%20 Apr
nuke5–13-0.0127%26 Mar
ancient11–13-0.099%10 Mar
anubis13–100.0215%10 Mar
ancient9–13-0.0123%10 Mar
nuke4–130.0118%5 Mar
anubis13–60.0119%5 Mar
dust213–4-0.069%5 Mar
ancient9–13-0.0510%4 Mar
anubis11–13-0.0717%2 Mar
dust213–9-0.0524%2 Mar
ancient5–13-0.0419%22 Dec
train12–16-0.0116%22 Dec
inferno13–40.0227%22 Dec
train13–70.0424%16 Dec
mirage5–13-0.0610%7 Dec
inferno16–14-0.0214%2 Dec
nuke4–13-0.069%2 Dec
ancient6–13-0.0414%2 Dec
ancient8–13-0.0220%23 Nov
ancient5–13-0.028%19 Nov
inferno13–6-0.0212%19 Nov
nuke6–13-0.0419%13 Nov
inferno10–130.0820%13 Nov
inferno13–100.0010%12 Nov
ancient8–130.0420%12 Nov
train13–70.0110%12 Nov
inferno7–13-0.0123%12 Nov
nuke10–13-0.0116%30 Oct
ancient3–130.0314%29 Oct
nuke1–13-0.0414%29 Oct
dust213–20.0226%26 Oct
overpass13–11-0.0115%30 Sept
mirage13–80.0515%30 Sept
ancient9–130.0113%10 Sept
inferno13–7-0.0122%2 Sept
train13–30.0218%2 Sept
inferno13–110.0118%15 Aug
mirage8–13-0.0811%14 Aug
overpass13–9-0.039%14 Aug
train10–130.0719%12 Aug
mirage1–13-0.0916%11 Aug
ancient13–9-0.0218%10 Aug
inferno1–13-0.0129%9 Aug
overpass13–3-0.0420%9 Aug
train13–9-0.0426%9 Aug
dust26–13-0.0910%8 Aug
ancient6–130.0419%8 Aug
inferno5–13-0.0321%8 Aug
mirage13–40.1023%8 Aug
mirage16–14-0.0021%23 Jul
overpass13–9-0.0221%23 Jul
inferno12–60.0032%22 Jul
mirage15–15-0.0117%21 Jul
anubis13–40.0010%6 Jul
dust24–13-0.0422%4 Jul
nuke13–90.0016%30 Jun
ancient15–15-0.0215%30 Jun
vertigo12–120.0416%23 May
inferno15–15-0.0120%12 May
anubis13–50.038%12 May
ancient8–130.0422%12 May
nuke3–130.0122%23 Apr
mirage6–130.0418%23 Apr
train13–3-0.0122%23 Apr
anubis4–13-0.0415%23 Apr
ancient9–13-0.0018%23 Apr
ancient13–110.1222%22 Apr
overpass13–110.0228%13 Apr
nuke13–40.054%2 Apr
nuke11–13-0.0416%2 Apr
anubis13–80.0224%2 Apr
inferno4–13-0.0518%2 Apr
train5–13-0.0212%2 Apr
nuke11–13-0.0515%27 Feb
train5–13-0.0333%27 Feb
ancient13–70.0220%25 Feb
inferno16–130.0411%25 Feb
train13–11-0.0319%24 Feb
train13–90.0113%23 Feb
anubis10–13-0.0110%6 Feb
inferno19–170.0019%5 Feb
ancient9–130.0221%5 Feb
inferno11–13-0.0311%5 Feb
nuke13–70.0612%5 Feb

Match data via Leetify.

Recent teammates

Milestones

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