Morten Messerschmidt — CS2 Stats

76561198741580799[U:1:781315071]

276Tracked matches54%Win rate2026Tracked since
CSDB Rating4.4 Developing
Premier CS Rating13,395Blue band · top ~36.9% of ranked players (population est.)
CSDB Leaderboard#13273 of 19466 tracked
Ladder ranks via Leetify

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CSDB.GGMorten MesserschmidtPREMIER13,395 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning48
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52435Last 10052%Win rateTLLWWWWWWL

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

Player DNA

Aim4.6
Aggression6.1
Utility6.2
Positioning4.8
Opening Duels2.1

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 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 48% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning4.8
Utility6.2
Mechanics3.4
Opening Duels2.3
Win Impact6.2

Composite 4.4/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time631ms+2ms
first ⅓ avg 629ms → last ⅓ avg 631ms
Headshot accuracy17.4%−0.0%
first ⅓ avg 17.4% → last ⅓ avg 17.4%

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 — train 13–9
131Biggest win — nuke
6Longest win streak
611In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 78% over 9mirageWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
mirageC2281436%-0.01
nukeB21101148%-0.01
cacheA149564%-0.01
infernoA148657%-0.04
dust2B105550%-0.01
anubisS97278%0.01
ancientB84450%-0.03
office1010%0.02
train110100%0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

17.1%Headshot accuracy
31.2%Accuracy (enemy spotted)
35.4%Spray accuracy
65.4%Counter-strafing
10.4°Preaim
622msReaction time
28.4%T opening success
48.5%CT opening success
0.67Enemies flashed / flash
6.2%Flash assists
7.45HE damage / grenade
13.28Flashes / 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 28.4254% — 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.

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache15–15-0.0016%28 Aug
anubis8–130.0417%28 Aug
nuke7–13-0.0730%28 Aug
mirage13–9-0.0211%22 Aug
nuke13–8-0.0523%20 Aug
inferno16–14-0.0713%20 Aug
nuke13–6-0.0210%20 Aug
nuke16–14-0.0314%19 Aug
dust213–8-0.0313%18 Aug
mirage7–130.0113%16 Aug
mirage9–6-0.0114%16 Aug
cache13–6-0.039%12 Aug
mirage11–13-0.0325%11 Aug
cache13–60.0122%11 Aug
mirage13–16-0.0115%11 Aug
anubis13–80.0120%11 Aug
mirage13–30.003%11 Aug
inferno15–15-0.0516%9 Aug
nuke11–13-0.0116%9 Aug
nuke10–130.0234%9 Aug
cache7–130.0233%8 Aug
mirage10–130.0516%8 Aug
anubis13–100.0415%7 Aug
anubis3–13-0.0424%7 Aug
inferno13–20.0311%6 Aug
nuke13–40.0621%6 Aug
ancient11–13-0.0114%6 Aug
nuke13–2-0.0311%6 Aug
nuke11–13-0.0122%5 Aug
ancient10–13-0.0710%5 Aug
dust213–50.0230%5 Aug
dust215–150.0421%5 Aug
anubis13–50.0112%4 Aug
inferno9–130.0424%3 Aug
anubis13–80.0526%2 Aug
mirage11–13-0.0116%2 Aug
mirage13–11-0.0017%1 Aug
dust214–160.0215%1 Aug
nuke13–10.0914%1 Aug
dust210–13-0.0114%30 Jul
inferno13–9-0.0521%30 Jul
nuke13–4-0.0021%30 Jul
dust213–8-0.0413%30 Jul
inferno13–6-0.0516%29 Jul
nuke9–13-0.0219%29 Jul
inferno12–16-0.085%28 Jul
inferno13–9-0.0517%28 Jul
nuke13–30.0633%28 Jul
ancient13–11-0.047%26 Jul
nuke7–130.0424%25 Jul
mirage13–10.0122%25 Jul
cache7–13-0.049%25 Jul
dust213–16-0.0021%23 Jul
nuke3–130.0939%22 Jul
cache9–13-0.0125%21 Jul
nuke7–13-0.1115%20 Jul
mirage13–1-0.0019%20 Jul
mirage10–130.0317%19 Jul
dust213–110.0021%19 Jul
mirage11–13-0.0113%17 Jul
cache10–13-0.0414%16 Jul
dust27–13-0.058%16 Jul
inferno5–13-0.0619%16 Jul
ancient13–8-0.0310%16 Jul
mirage13–5-0.0312%16 Jul
anubis13–10-0.0517%16 Jul
ancient4–13-0.0411%16 Jul
inferno3–13-0.0816%16 Jul
mirage10–13-0.0516%15 Jul
mirage11–13-0.0615%15 Jul
ancient13–10-0.0325%14 Jul
anubis13–80.0223%14 Jul
inferno13–4-0.0617%13 Jul
nuke13–10-0.0523%13 Jul
nuke3–13-0.0817%13 Jul
inferno13–90.0120%12 Jul
nuke13–6-0.0016%12 Jul
mirage13–9-0.038%12 Jul
mirage11–13-0.1032%12 Jul
dust213–10-0.0316%12 Jul
cache13–9-0.0220%12 Jul
nuke11–13-0.0417%11 Jul
cache13–11-0.0917%11 Jul
ancient15–15-0.0215%11 Jul
anubis13–2-0.036%10 Jul
inferno5–13-0.0714%10 Jul
mirage11–13-0.0613%9 Jul
mirage0–130.0117%9 Jul
cache13–90.0029%9 Jul
cache13–8-0.0119%9 Jul
cache13–10-0.0120%9 Jul
mirage5–130.0419%8 Jul
cache13–40.0521%8 Jul
office4–130.0217%7 Jul
train13–90.0917%7 Jul
cache13–10.0822%7 Jul
nuke12–12-0.0113%7 Jul
inferno13–100.0319%5 Jul
mirage10–13-0.0010%4 Jul
ancient13–30.0010%4 Jul

Match data via Leetify.

Recent teammates

Milestones

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