Monte

Monte — CS2 Stats

US76561198068600487[U:1:108334759]Steam profile ↗✓ No bans

595Tracked matches47%Win rate2021Tracked since
1,142Hours in CS
CSDB Rating4.1 Developing
Premier CS Rating14,550Blue band · top ~30.8% of ranked players (population est.)
CSDB Leaderboard#14430 of 22092 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.5%41.7%44.1%2.6% short
Shot accuracy15.6%8.8%11.4%above
Kill/death ratio1.000.971.030.03 short
Match win rate44.6%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

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CSDB.GGMontePREMIER14,550 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning57
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateWWWLLWLLWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim4.1
Aggression9.7
Utility3.1
Positioning5.7
Opening Duels4.2

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

device

Plays most like device 80% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 609ms 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

Aim4.1
Positioning5.7
Utility3.1
Mechanics4.5
Opening Duels4.2
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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time606ms−40ms
first ⅓ avg 647ms → last ⅓ avg 606ms
Headshot accuracy19.0%+1.1%
first ⅓ avg 17.9% → last ⅓ avg 19.0%

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

0.09Best rating — inferno 13–6
131Biggest win — mirage
6Longest win streak
W3Current streak
58In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 70% over 10anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA1911858%0.00
infernoC156940%-0.00
dust2C145936%0.00
nukeA127558%0.02
ancientS107370%0.01
cacheC94544%-0.01
anubisD61517%-0.02
trainC52340%-0.01
poseidon3030%-0.07
vertigo32167%-0.04
overpass31233%-0.05
sanctum1010%-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,000Lifetime kills
1.00K/D · Top 50% of Blue band
2,723Matches
44.6%Match win rate · Top 50% of Blue band
41.5%Headshot %
15.6%Shot accuracy · Top 25% of Blue band
7,078MVPs
1,142Hours (in match)
2,221Bombs planted
687Bombs defused

Most-used weapons

AK-4717,796
AWP12,715
P2501,547
SSG 081,224
P901,081

Lifetime map wins

4,618inferno
4,189dust2
1,895nuke
1,016vertigo
396train
295office
183lake
90militia

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.5%Headshot accuracy
29.0%Accuracy (enemy spotted)
27.6%Spray accuracy
70.3%Counter-strafing
10.9°Preaim
609msReaction time
53.0%T opening success
40.9%CT opening success
0.45Enemies flashed / flash
3.5%Flash assists
4.76HE damage / grenade
4.92Flashes / 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 0.4466 — below the 0.5 mark we flag

    Grenade Lineups
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke16–140.0122%19 Jul
ancient13–11-0.0026%19 Jul
mirage13–5-0.0130%19 Jul
inferno6–130.0211%19 Jul
nuke11–130.0423%18 Jul
dust213–110.0743%18 Jul
mirage6–13-0.0219%18 Jul
anubis5–13-0.0814%18 Jul
nuke13–100.0110%18 Jul
mirage13–10-0.0623%16 Jul
cache11–13-0.0518%16 Jul
cache13–4-0.0121%16 Jul
mirage8–13-0.027%13 Jul
mirage13–100.0217%12 Jul
nuke10–130.0427%12 Jul
anubis3–13-0.0120%11 Jul
cache13–90.0324%10 Jul
cache7–13-0.0113%9 Jul
mirage13–70.0416%9 Jul
cache13–110.046%9 Jul
cache5–13-0.1018%9 Jul
inferno7–13-0.0217%9 Jul
cache13–70.0412%8 Jul
mirage13–20.0228%3 Jul
mirage10–130.0125%3 Jul
inferno4–13-0.0510%27 Jun
nuke7–9-0.0217%4 May
cache11–13-0.0213%4 May
cache10–13-0.0418%4 May
poseidon2–9-0.0527%13 Apr
inferno9–60.0230%13 Apr
sanctum3–9-0.0911%2 Apr
poseidon6–9-0.0413%2 Apr
vertigo3–9-0.1527%2 Apr
inferno8–13-0.039%24 Feb
mirage13–80.0314%24 Feb
inferno8–8-0.0730%24 Feb
vertigo9–40.0615%24 Feb
poseidon5–9-0.1143%24 Feb
dust212–16-0.0619%16 Feb
ancient8–13-0.016%16 Feb
inferno13–60.0927%16 Feb
anubis4–130.0123%16 Feb
ancient13–30.0529%16 Feb
ancient9–20.0535%16 Feb
ancient13–40.0113%16 Feb
ancient13–60.0524%15 Feb
dust213–100.0612%15 Feb
nuke13–100.0533%15 Feb
ancient15–15-0.0413%14 Feb
anubis9–130.0213%14 Feb
inferno11–130.0127%14 Feb
inferno5–130.0315%11 Feb
mirage13–10.0626%7 Feb
nuke13–50.0422%7 Feb
mirage13–50.058%18 Jan
dust27–13-0.048%18 Jan
mirage13–100.0412%15 Jan
inferno9–130.0314%13 Jan
mirage11–130.0116%13 Jan
nuke13–60.0412%10 Jan
train9–13-0.0214%10 Jan
mirage8–0-0.0316%10 Jan
mirage13–10-0.0412%2 Jan
vertigo13–5-0.0315%12 Dec
inferno13–80.0624%22 Nov
dust29–13-0.0530%22 Nov
inferno13–8-0.0120%12 Nov
mirage13–16-0.0431%29 Oct
overpass2–13-0.1011%29 Oct
train13–11-0.0225%26 Oct
dust213–60.0519%30 Sept
overpass13–7-0.0111%30 Sept
dust26–130.0013%23 Sept
overpass11–13-0.0321%26 Jul
ancient6–13-0.0525%26 Jul
anubis8–13-0.097%29 Jun
dust213–80.0618%29 Jun
inferno13–90.0114%19 Jun
ancient13–8-0.0216%19 Jun
nuke9–130.0216%19 Jun
dust27–130.0124%19 Jun
ancient13–80.0213%19 Jun
train4–13-0.0323%19 Jun
mirage5–13-0.0322%18 Jun
nuke7–13-0.0025%18 Jun
dust214–160.0020%18 Jun
nuke13–80.0317%18 Jun
inferno10–13-0.0821%14 Jun
mirage10–130.0315%14 Jun
mirage10–13-0.026%26 May
inferno13–10-0.018%26 May
dust213–90.0529%26 May
nuke16–120.0426%26 May
dust21–13-0.0913%26 May
anubis13–90.0413%23 May
dust29–13-0.048%23 May
train5–13-0.0123%23 May
dust215–15-0.0121%17 May
train13–90.0218%17 May

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 →