LudiMössa — CS2 Stats

76561198987967189[U:1:1027701461]

599Tracked matches56%Win rate2022Tracked since
1,026Hours in CS21Hrs last 2 wks
CSDB Rating3.1 Learning
Premier CS Rating3,928Grey band · top ~83.3% of ranked players (population est.)
CSDB Leaderboard#42794 of 55290 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 medianLevel 3 medianvs Level 3
Headshot rate39.7%41.2%42.2%2.4% short
Shot accuracy8.0%12.5%11.9%3.9% short
Kill/death ratio0.680.960.980.30 short
Match win rate34.7%42.8%43.6%8.9% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLudiMössaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER3,928 · Grey bandcsdb.gg/stats

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Performance scores

Aim22
Positioning37
Utility53

0–100 skill scores via Leetify.

Recent form

COLD44524Last 10044%Win rateWLLLWTLLLW

Last 10 vs previous 10: -50pp win rate · -0.00 avg rating

Player DNA

Aim2.2
Aggression4.1
Utility5.3
Positioning3.7
Opening Duels1.6
Clutch0.0

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 73% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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 50% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim2.2
Positioning3.7
Utility5.3
Mechanics2.3
Opening Duels2.6
Win Impact6.9

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time620ms−13ms
first ⅓ avg 634ms → last ⅓ avg 620ms
Headshot accuracy12.6%−2.6%
first ⅓ avg 15.3% → last ⅓ avg 12.6%

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

0.27Best rating — mirage 13–2
130Biggest win — nuke
5Longest win streak
610In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 57% over 23ancientWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB30151550%-0.01
nukeA23131057%-0.02
ancientD1521313%-0.01
infernoC94544%-0.03
cacheA95456%-0.02
dust2A74357%-0.03
anubisD51420%-0.04
train1010%-0.04
vertigo1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,069Lifetime kills
0.68K/D
1,514Matches
34.7%Match win rate
39.7%Headshot %
8.0%Shot accuracy
2,851MVPs
434Hours (in match)
1,279Bombs planted
270Bombs defused

Most-used weapons

Lifetime map wins

1,594nuke
1,346inferno
710dust2
515vertigo
318train
129lake
50italy
50office

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

Faceit stats

Combat

3Matches
33%Win rate
0.64Avg K/D
54.7ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.6911.5
Inferno10%0.539.0

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.

13.7%Headshot accuracy
26.4%Accuracy (enemy spotted)
22.1%Spray accuracy
60.5%Counter-strafing
10.6°Preaim
610msReaction time
22.6%T opening success
50.5%CT opening success
0.53Enemies flashed / flash
6.9%Flash assists
5.72HE damage / grenade
15.10Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.6913% — below the 15% mark we flag

    Aim Training
  2. 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 22.6324% — below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0514%30 Aug
mirage13–16-0.0615%30 Aug
mirage1–3-0.060%30 Aug
ancient11–13-0.0715%23 Aug
dust213–50.0124%23 Aug
train12–12-0.0436%22 Aug
ancient11–13-0.056%22 Aug
ancient9–130.0011%22 Aug
ancient6–13-0.0426%22 Aug
mirage13–50.0410%22 Aug
ancient13–80.0016%22 Aug
inferno13–9-0.0713%21 Aug
anubis13–6-0.090%21 Aug
mirage13–90.1225%21 Aug
cache5–13-0.097%20 Aug
cache13–70.005%20 Aug
mirage14–16-0.048%20 Aug
nuke13–11-0.0516%20 Aug
mirage13–6-0.0313%20 Aug
nuke9–7-0.055%19 Aug
mirage13–5-0.0225%19 Aug
nuke6–9-0.0320%19 Aug
ancient1–13-0.103%18 Aug
mirage13–40.0312%15 Aug
nuke6–9-0.218%15 Aug
nuke15–15-0.0413%15 Aug
ancient8–130.0511%15 Aug
mirage15–150.0124%15 Aug
inferno11–13-0.0311%13 Aug
nuke13–3-0.046%13 Aug
cache12–10.010%13 Aug
dust213–5-0.049%13 Aug
dust28–13-0.0213%13 Aug
ancient2–6-0.0020%13 Aug
mirage13–100.0117%12 Aug
mirage11–13-0.0539%12 Aug
dust26–13-0.098%12 Aug
anubis15–15-0.0122%10 Aug
dust213–3-0.0318%10 Aug
mirage13–5-0.035%9 Aug
mirage5–13-0.0417%9 Aug
mirage16–120.026%9 Aug
mirage4–13-0.0620%7 Aug
ancient6–13-0.066%7 Aug
nuke13–5-0.0111%6 Aug
mirage13–20.2721%6 Aug
mirage16–13-0.0220%5 Aug
nuke13–6-0.0210%5 Aug
nuke13–0-0.019%5 Aug
inferno12–160.0310%5 Aug
nuke9–30.0727%5 Aug
inferno9–30.0729%5 Aug
nuke11–13-0.0515%5 Aug
mirage10–130.0714%5 Aug
ancient6–13-0.0115%5 Aug
ancient6–130.0017%4 Aug
anubis10–13-0.116%4 Aug
mirage9–13-0.0218%4 Aug
dust25–13-0.0215%4 Aug
nuke8–13-0.0413%3 Aug
nuke13–10.0422%3 Aug
ancient13–160.0415%3 Aug
inferno13–30.0118%30 Jul
nuke13–60.0441%29 Jul
nuke13–160.0114%29 Jul
mirage9–130.0121%29 Jul
anubis10–130.0110%28 Jul
nuke9–13-0.029%28 Jul
mirage4–13-0.0415%27 Jul
dust213–7-0.048%27 Jul
mirage13–4-0.0013%27 Jul
nuke13–16-0.0118%27 Jul
mirage13–11-0.0213%27 Jul
ancient8–130.1120%27 Jul
vertigo9–13-0.0717%26 Jul
nuke9–30.0810%24 Jul
ancient11–13-0.0629%23 Jul
ancient13–30.0320%23 Jul
mirage13–70.0125%23 Jul
nuke14–160.0218%23 Jul
nuke13–7-0.0323%21 Jul
inferno9–13-0.0912%21 Jul
mirage10–13-0.0911%21 Jul
nuke16–120.0126%17 Jul
mirage8–13-0.0613%16 Jul
mirage7–13-0.009%10 Jul
cache9–13-0.0613%10 Jul
nuke8–13-0.0915%9 Jul
anubis11–13-0.0315%9 Jul
cache2–00.000%9 Jul
mirage13–10-0.058%9 Jul
cache6–130.0117%8 Jul
cache10–130.0410%8 Jul
cache13–9-0.0521%8 Jul
cache13–11-0.0321%8 Jul
inferno10–13-0.0317%5 Jul
nuke13–5-0.0518%5 Jul
mirage8–13-0.0719%5 Jul
inferno5–9-0.1310%5 Jul
inferno16–13-0.0114%5 Jul

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 →