mental mountain

mental mountain — CS2 Stats

FI76561198060341299[U:1:100075571]Steam profile ↗✓ No bans

965Tracked matches43%Win rate2022Tracked since
1,437Hours in CS
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating25,547Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#3873 of 39010 tracked
FaceitLevel 10 · 2,129 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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 10 median
Headshot rate43.9%51.9%
Shot accuracy11.2%13.7%
Kill/death ratio1.101.08
Match win rate45.9%48.7%

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CSDB.GGmental mountainFACEITLevel 10 · 2,129 ELOSTANDINGTop 12.4% of rankedPREMIER25,547 · Red bandcsdb.gg/stats

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Performance scores

Aim60
Positioning52
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateWLLLWLLLWW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.0
Aggression5.3
Utility5.9
Positioning5.2
Opening Duels1.3
Clutch4.2

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 569ms 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

Aim6.0
Positioning5.2
Utility5.9
Mechanics5.8
Opening Duels1.6
Win Impact2.8

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time561ms−12ms
first ⅓ avg 573ms → last ⅓ avg 561ms
Headshot accuracy21.5%−2.4%
first ⅓ avg 23.9% → last ⅓ avg 21.5%

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

0.13Best rating — mirage 13–0
130Biggest win — mirage
7Longest win streak
612In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 80% over 5mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A27161159%0.01
ancientB25131252%0.01
infernoC1771041%0.01
mirageD113827%-0.00
overpassC104640%0.00
nukeS54180%0.01
anubis43175%0.02
vertigo110100%0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,419Lifetime kills
1.10K/D · Top 50% of Level 10 players
3,282Matches
45.9%Match win rate
43.9%Headshot %
11.2%Shot accuracy
8,197MVPs
1,437Hours (in match)
4,475Bombs planted
825Bombs defused

Most-used weapons

AK-4721,767
AWP7,675
FAMAS1,574
P2501,530
UMP-451,154
P901,127

Lifetime map wins

3,805dust2
3,576nuke
2,529inferno
1,040vertigo
809train
409cbble
161assault
78office

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

Faceit stats

Combat

563Matches
54%Win rate
1.14Avg K/D
80.5ADR
51%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage12355%1.1116.1
Dust29459%1.1516.4
Ancient9252%1.1516.4
Inferno7553%1.1816.3
Nuke6761%1.1016.6
Anubis4652%1.2216.2
Overpass4342%1.0314.6
Train1547%1.1716.1

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.

20.9%Headshot accuracy
30.6%Accuracy (enemy spotted)
34.5%Spray accuracy
76.2%Counter-strafing
11.2°Preaim
569msReaction time
28.1%T opening success
42.6%CT opening success
0.53Enemies flashed / flash
8.2%Flash assists
7.84HE damage / grenade
8.93Flashes / 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 28.1016% — below the 40% mark we flag

Spend your practice time on Mirage

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–60.0926%23 Mar
ancient11–130.0327%23 Mar
mirage3–13-0.0216%23 Mar
overpass11–13-0.0125%21 Mar
nuke13–110.0321%20 Mar
inferno3–13-0.0619%19 Mar
overpass11–13-0.0317%18 Mar
mirage10–13-0.0219%18 Mar
dust213–10-0.0017%18 Mar
mirage13–50.0125%18 Mar
dust213–60.1130%17 Mar
dust25–13-0.0824%17 Mar
anubis14–16-0.0116%16 Mar
anubis16–13-0.0518%16 Mar
dust24–13-0.0714%15 Mar
overpass13–30.0216%15 Mar
ancient13–70.0630%15 Mar
ancient6–13-0.0323%15 Mar
inferno9–13-0.0315%14 Mar
mirage13–00.1336%13 Mar
ancient13–30.0020%13 Mar
inferno13–8-0.0214%12 Mar
ancient13–7-0.0021%12 Mar
inferno13–16-0.0524%12 Mar
dust29–130.0011%11 Mar
overpass14–160.0120%11 Mar
dust21–13-0.0415%10 Mar
dust213–50.0719%9 Mar
mirage2–13-0.0143%9 Mar
inferno9–13-0.0228%9 Mar
overpass13–50.0818%8 Mar
ancient13–40.0223%8 Mar
dust213–40.0821%8 Mar
inferno13–10-0.0324%8 Mar
ancient8–13-0.0529%8 Mar
nuke13–50.0340%7 Mar
dust214–16-0.0135%7 Mar
inferno13–110.0430%6 Mar
dust213–10-0.0329%6 Mar
inferno13–40.1216%6 Mar
anubis13–90.1118%6 Mar
ancient11–130.0123%6 Mar
dust26–13-0.047%5 Mar
nuke8–13-0.0725%5 Mar
inferno6–130.0220%5 Mar
inferno13–30.1020%5 Mar
mirage9–13-0.0226%4 Mar
inferno9–130.0124%4 Mar
anubis13–70.0220%4 Mar
ancient8–130.0539%4 Mar
inferno9–13-0.0422%4 Mar
dust213–70.0348%4 Mar
dust213–50.1038%3 Mar
ancient13–60.0419%3 Mar
nuke13–70.0431%3 Mar
dust214–160.0018%3 Mar
inferno13–30.0128%3 Mar
ancient11–13-0.0527%2 Mar
mirage8–13-0.0123%2 Mar
dust213–40.0725%1 Mar
ancient8–13-0.0016%1 Mar
ancient13–70.0624%1 Mar
overpass13–5-0.0018%1 Mar
ancient8–13-0.0213%28 Feb
ancient13–90.0123%28 Feb
overpass10–13-0.0333%28 Feb
dust213–100.0224%28 Feb
ancient13–9-0.0313%28 Feb
inferno13–100.0220%27 Feb
nuke13–110.0436%27 Feb
ancient13–100.0528%25 Feb
dust213–110.0128%25 Feb
dust213–8-0.0325%24 Feb
mirage3–13-0.0328%24 Feb
ancient4–13-0.0527%24 Feb
dust210–13-0.0238%24 Feb
dust24–13-0.0632%24 Feb
inferno10–130.0326%24 Feb
overpass8–13-0.0424%23 Feb
overpass19–160.0316%23 Feb
ancient11–130.0219%22 Feb
dust213–60.0233%22 Feb
ancient8–13-0.0020%21 Feb
mirage8–13-0.0120%21 Feb
ancient11–13-0.0226%21 Feb
dust213–110.0215%20 Feb
ancient13–100.0426%20 Feb
overpass9–13-0.029%19 Feb
dust27–13-0.0327%19 Feb
dust213–100.0520%19 Feb
ancient13–6-0.0416%19 Feb
ancient13–40.1017%18 Feb
dust213–80.0729%18 Feb
mirage13–11-0.0315%18 Feb
inferno6–13-0.0122%18 Feb
dust27–13-0.0023%18 Feb
inferno5–13-0.0040%17 Feb
mirage11–13-0.0119%17 Feb
ancient13–30.1128%17 Feb
vertigo13–10.1225%17 Feb

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →