mensa.laatikko

mensa.laatikko — CS2 Stats

76561198853842214[U:1:893576486]Steam profile ↗✓ No bans

1,551Tracked matches53%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Share this profile

CSDB.GGmensa.laatikkoFACEITLevel 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

Aim76
Positioning65
Utility81

0–100 skill scores via Leetify.

Recent form

HOT53–47Last 10053%Win rateLLWWWWWWWW

Last 10 vs previous 10: +60pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · +94ms reaction

Win rate up 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 619ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 605ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 558ms

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 (+2.8 against its own average).

Aim7.6
Utility8.1
Positioning6.5
Opening Duels3.2
Clutch3.4

Strong CT-side openerEffective flashesHigh utility contribution

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 81% playstyle similarity

Most alike: positioning profile, 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

Strengths

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 52% on CT to 28% 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

Aim7.6
Positioning6.5
Utility8.1
Mechanics6.5
Opening Duels2.8
Win Impact6.1

Composite 6.7/10 (Solid), 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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time553ms+8ms
first ⅓ avg 545ms → last ⅓ avg 553ms
Headshot accuracy17.0%+0.1%
first ⅓ avg 16.9% → last ⅓ avg 17.0%

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.

Personal bests

0.17Best match rating · 13–7 · anubis, 12 Sept →
30%Best headshot accuracy · 9–13 · anubis, 4 Oct →
359msFastest reaction time · 13–5 · anubis, 24 Oct →
13–1Biggest win · inferno, 19 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
10–10In matches decided by ≤2 rounds
17Overtime games

Map breakdown

trainBest map · 60% over 5dust2Weakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB2413–1154%0.04
ancientA2414–1058%0.02
infernoB178–947%0.02
anubisB137–654%0.03
dust2B136–746%0.03
trainA53–260%0.01
mirage—21–150%0.06
overpass—10–10%-0.00
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,483Matches
52%Win rate
1.21Avg K/D
86.2ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3057%1.2017.6
Nuke2952%1.5318.2
Inferno2143%1.0815.9
Anubis1942%1.2617.8
Dust21839%1.1017.7
Train560%1.1120.4
Mirage367%1.5423.0

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.

16.5%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.0%Spray accuracy
79.1%Counter-strafing
9.5°Preaim
548msReaction time
28.4%T opening success
52.3%CT opening success
0.70Enemies flashed / flash
12.1%Flash assists
10.49HE damage / grenade
10.05Flashes / 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 28.3982% — below the 40% mark we flag

Spend your practice time on Dust 2

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
train8–130.0215%21 Nov →
nuke10–13-0.0312%21 Nov →
train13–11-0.0217%20 Nov →
anubis13–20.0218%20 Nov →
nuke13–7-0.0020%20 Nov →
inferno13–10.0714%19 Nov →
anubis13–50.0616%19 Nov →
train16–140.0113%15 Nov →
inferno13–100.0115%15 Nov →
train13–80.0615%14 Nov →
inferno13–60.0620%14 Nov →
train13–16-0.0015%14 Nov →
ancient9–13-0.0414%14 Nov →
nuke13–40.0915%13 Nov →
anubis13–160.0112%13 Nov →
inferno14–160.0220%11 Nov →
dust27–13-0.0314%7 Nov →
anubis7–13-0.0414%7 Nov →
ancient11–130.0318%7 Nov →
dust211–130.0027%5 Nov →
anubis16–120.0517%5 Nov →
ancient6–13-0.0125%5 Nov →
ancient16–140.0511%29 Oct →
nuke13–160.0216%29 Oct →
inferno13–80.1014%28 Oct →
nuke13–110.0715%28 Oct →
anubis13–70.0617%26 Oct →
dust29–130.0020%26 Oct →
ancient7–130.0817%26 Oct →
nuke13–40.0726%26 Oct →
anubis9–130.0821%26 Oct →
dust213–9-0.0122%26 Oct →
inferno11–130.0017%26 Oct →
ancient13–50.0714%26 Oct →
nuke13–50.1012%26 Oct →
inferno13–20.0310%26 Oct →
dust213–70.0528%26 Oct →
nuke6–130.0217%26 Oct →
ancient13–7-0.045%26 Oct →
inferno7–130.0819%24 Oct →
ancient13–70.0220%24 Oct →
anubis13–50.0517%24 Oct →
ancient19–17-0.029%23 Oct →
nuke13–110.0221%23 Oct →
nuke11–130.0110%22 Oct →
inferno13–7-0.0115%22 Oct →
inferno11–13-0.0910%21 Oct →
dust216–130.0312%21 Oct →
ancient13–6-0.0313%21 Oct →
nuke5–13-0.0924%17 Oct →
ancient13–90.0817%16 Oct →
nuke9–130.0723%16 Oct →
dust213–160.0120%14 Oct →
ancient13–80.0620%14 Oct →
nuke13–110.0820%14 Oct →
dust28–130.0326%11 Oct →
inferno13–90.1613%11 Oct →
anubis13–8-0.0117%11 Oct →
nuke8–130.0715%10 Oct →
dust213–90.1122%10 Oct →
nuke13–80.1113%9 Oct →
inferno11–13-0.0510%9 Oct →
inferno9–13-0.059%8 Oct →
nuke13–90.0819%8 Oct →
dust210–130.0517%7 Oct →
nuke13–70.0219%7 Oct →
anubis5–13-0.0326%6 Oct →
ancient7–130.0124%6 Oct →
dust216–14-0.0016%6 Oct →
ancient9–13-0.0221%4 Oct →
ancient13–90.0524%4 Oct →
anubis9–13-0.0030%4 Oct →
nuke5–13-0.0315%2 Oct →
ancient10–13-0.0310%2 Oct →
nuke7–13-0.0118%30 Sept →
nuke11–130.0614%30 Sept →
dust211–130.0322%29 Sept →
ancient10–130.0414%29 Sept →
anubis13–160.0119%27 Sept →
ancient8–130.0317%27 Sept →
inferno13–110.0117%27 Sept →
ancient13–60.0614%26 Sept →
nuke11–130.0018%26 Sept →
ancient13–80.0011%23 Sept →
ancient13–110.0117%17 Sept →
nuke13–30.1016%17 Sept →
dust213–90.0418%17 Sept →
inferno7–130.0223%16 Sept →
nuke13–70.0311%16 Sept →
nuke13–10.1313%15 Sept →
mirage10–130.0919%15 Sept →
mirage13–60.0413%13 Sept →
anubis13–70.1714%12 Sept →
ancient13–100.0720%10 Sept →
ancient2–13-0.0724%8 Sept →
inferno13–16-0.0215%30 May →
overpass7–16-0.0015%30 May →
ancient16–110.0411%24 May →
inferno12–160.0214%24 May →
vertigo16–13-0.0114%19 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
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.