m0nstrGG

m0nstrGG — CS2 Stats

76561198026622632[U:1:66356904]Steam profile ↗✓ No bans

1,299Tracked matches63%Win rate2020Tracked since
CSDB Rating7.3 StrongPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

Share this profile

CSDB.GGm0nstrGGFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.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

Aim93
Positioning62
Utility59

0–100 skill scores via Leetify.

Recent form

HOT69–28–3Last 10069%Win rateLWWLWWWWLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −6.2pp headshot accuracy · +1ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 499ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 504ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 504ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim9.3
Utility5.9
Positioning6.2
Opening Duels4.6
Clutch3.4

Sharp aimer

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.3
Positioning6.2
Utility5.9
Mechanics7.2
Opening Duels3.3
Win Impact9.4

Composite 7.3/10 (Strong), 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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time535ms−88ms
first ⅓ avg 623ms → last ⅓ avg 535ms
Headshot accuracy25.9%+0.5%
first ⅓ avg 25.5% → last ⅓ avg 25.9%

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

0.32Best match rating · 4–1 · overpass, 15 Mar →
55%Best headshot accuracy · 13–4 · office, 26 Nov →
375msFastest reaction time · 8–2 · vertigo, 17 Dec →
13–0Biggest win · vertigo, 12 Feb →

Across the last 100 tracked matches.

Highlights

8Longest win streak
1–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 100% over 10officeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
overpassS1712–571%0.07
dust2B126–650%0.00
anubisS1110–191%0.05
trainS118–373%0.02
vertigoS1010–0100%0.06
infernoA95–456%0.02
mirageA74–357%0.03
officeD62–433%0.02
cacheC52–340%0.01
ancient—42–250%-0.02
nuke—33–0100%0.07
grail—22–0100%0.06
jura—22–0100%0.01
sanctum—11–0100%0.21

Across the last 100 tracked matches.

Faceit stats

Combat

1,896Matches
54%Win rate
1.18Avg K/D
80.3ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust220056%1.2216.0
Anubis17956%1.1415.5
Inferno15068%1.2516.5
Overpass5456%1.2016.6
Ancient5254%1.0715.4
Nuke4450%1.1415.8
Vertigo4038%0.9513.8
Cache3348%1.1015.2

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.

26.4%Headshot accuracy
40.9%Accuracy (enemy spotted)
44.0%Spray accuracy
82.3%Counter-strafing
8.9°Preaim
529msReaction time
33.0%T opening success
53.3%CT opening success
0.52Enemies flashed / flash
10.6%Flash assists
9.40HE damage / grenade
11.09Flashes / 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 32.9642% — below the 40% mark we flag

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno9–130.0120%8 Nov →
inferno16–12-0.0021%31 Oct →
cache13–70.0128%27 Oct →
cache4–13-0.060%25 Oct →
anubis13–80.0431%17 Oct →
mirage13–40.0214%10 Oct →
inferno13–90.0029%10 Oct →
inferno13–20.1031%10 Oct →
cache12–160.0230%8 Oct →
mirage13–100.0915%30 Sept →
anubis13–40.1040%26 Sept →
vertigo13–60.0828%24 Sept →
vertigo13–40.1222%24 Sept →
dust210–13-0.0137%22 Sept →
mirage10–130.0216%18 Sept →
dust25–13-0.0124%29 Aug →
ancient4–13-0.0925%22 Aug →
anubis13–80.0033%14 Aug →
nuke13–70.0232%28 Jul →
anubis13–90.0024%16 Jul →
dust213–80.0516%14 May →
cache11–130.0538%9 May →
inferno13–40.0128%8 May →
inferno11–130.0325%8 May →
cache13–80.0137%29 Apr →
dust213–8-0.0125%24 Apr →
office9–13-0.0024%20 Mar →
overpass13–30.1235%15 Mar →
overpass5–130.1233%15 Mar →
overpass4–10.3232%15 Mar →
train13–20.0318%25 Feb →
nuke9–60.1532%12 Feb →
overpass7–9-0.0615%12 Feb →
vertigo13–00.0220%12 Feb →
vertigo13–30.0431%12 Feb →
vertigo9–20.1427%30 Jan →
sanctum9–10.2130%24 Jan →
office12–120.0428%23 Jan →
office9–130.0332%23 Jan →
office11–130.0449%23 Jan →
overpass13–80.0624%17 Jan →
overpass8–130.0038%17 Jan →
train12–120.0122%3 Jan →
train13–90.0840%3 Jan →
train13–50.1027%2 Jan →
vertigo13–80.0335%19 Dec →
vertigo13–10-0.0117%17 Dec →
vertigo8–2-0.0218%17 Dec →
anubis13–20.1042%10 Dec →
anubis5–13-0.0521%10 Dec →
office13–40.0155%26 Nov →
office13–9-0.0116%26 Nov →
overpass13–60.0836%23 Nov →
overpass13–80.0021%23 Nov →
train13–8-0.0433%5 Nov →
train13–00.0629%5 Nov →
inferno11–13-0.0221%1 Nov →
mirage2–00.0733%1 Nov →
dust213–60.0321%30 Oct →
mirage5–13-0.0127%26 Oct →
inferno13–70.0838%26 Oct →
vertigo13–40.1245%22 Oct →
vertigo12–00.0438%22 Oct →
ancient10–130.0024%20 Oct →
train13–30.0631%20 Oct →
train13–4-0.0716%20 Oct →
mirage8–13-0.0423%18 Oct →
dust24–13-0.0523%18 Oct →
dust24–13-0.0243%17 Oct →
dust213–7-0.0624%17 Oct →
anubis13–60.0635%15 Oct →
anubis13–10.2127%15 Oct →
anubis13–8-0.0120%15 Oct →
overpass13–80.0725%11 Oct →
overpass13–100.0326%10 Oct →
overpass13–30.1121%7 Oct →
overpass13–30.1121%7 Oct →
dust25–130.0333%26 Sept →
overpass9–130.0237%24 Sept →
overpass13–40.1125%24 Sept →
overpass13–100.1030%23 Sept →
dust213–90.0118%23 Sept →
ancient7–20.0417%23 Sept →
nuke13–80.0419%23 Sept →
overpass9–13-0.0216%18 Sept →
ancient13–7-0.0519%17 Sept →
overpass13–20.0721%17 Sept →
train13–50.0324%14 Sept →
train12–12-0.0514%10 Sept →
train11–13-0.0336%10 Sept →
dust23–13-0.0217%8 Sept →
mirage13–70.0330%8 Sept →
grail13–40.0420%1 Sept →
grail13–20.0846%1 Sept →
inferno4–130.0036%26 Aug →
anubis13–50.0122%23 Aug →
anubis13–60.0421%23 Aug →
jura13–9-0.0033%30 Jul →
jura13–40.0320%30 Jul →
dust213–60.1123%18 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
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.