MosDeph

MosDeph — CS2 Stats

76561198292559019[U:1:332293291]Steam profile ↗✓ No bans

555Tracked matches71%Win rate2020Tracked since
300Hours in CS
CSDB Rating4.4 Developing
FaceitLevel 3 · 820 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate50.2%42.1%42.5%above
Shot accuracy10.5%12.1%10.9%0.4% short
Kill/death ratio0.890.990.990.10 short
Match win rate44.9%43.9%44.2%meets

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMosDephFACEITLevel 3 · 820 ELOSTANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning46
Utility45

0–100 skill scores via Leetify.

Recent form

COLD53398Last 10053%Win rateLTTTLLWWTL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim4.6
Aggression4.7
Utility4.5
Positioning4.6
Opening Duels1.7
Clutch7.4

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 83% 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

T-side openings. Opening success drops from 49% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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
Positioning4.6
Utility4.5
Mechanics4.3
Opening Duels2.4
Win Impact10.0

Composite 4.4/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time679ms+42ms
first ⅓ avg 637ms → last ⅓ avg 679ms
Headshot accuracy18.7%+3.3%
first ⅓ avg 15.4% → last ⅓ avg 18.7%

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

0.18Best rating — sanctum 9–3
131Biggest win — ancient
9Longest win streak
68In matches decided by ≤2 rounds
4Overtime games

Map breakdown

sanctumBest map · 80% over 5infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC156940%0.00
nukeA148657%-0.01
mirageS1410471%-0.01
poseidonD113827%-0.03
dust2S107370%-0.02
trainS96367%0.01
overpassS75271%-0.02
infernoD61517%-0.04
sanctumS54180%0.01
vertigo32167%-0.06
debris2020%-0.02
cache21150%-0.00
eldorado1010%-0.16
warden1010%0.06

Across the last 100 tracked matches.

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

Lifetime stats

14,729Lifetime kills
0.89K/D
1,074Matches
44.9%Match win rate · Top 50% of Level 3 players
50.2%Headshot % · Top 25% of Level 3 players
10.5%Shot accuracy
1,881MVPs
300Hours (in match)
582Bombs planted
156Bombs defused

Most-used weapons

Lifetime map wins

1,012inferno
911dust2
871nuke
399vertigo
377train
127lake
106cbble
29office

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

Faceit stats

Combat

61Matches
46%Win rate
0.77Avg K/D
73.7ADR
43%Headshot %

Clutches & streaks

57%1v1 clutch win
7%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient683%1.0414.5
Inferno617%0.7513.3
Dust2450%0.9216.5
Mirage450%0.8514.3
Overpass333%0.6511.3
Nuke367%0.8714.0

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.

17.8%Headshot accuracy
35.0%Accuracy (enemy spotted)
34.2%Spray accuracy
69.2%Counter-strafing
11.4°Preaim
673msReaction time
24.6%T opening success
48.8%CT opening success
0.59Enemies flashed / flash
6.0%Flash assists
4.87HE damage / grenade
4.95Flashes / 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 24.6466% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–9-0.0614%19 Jul
poseidon8–8-0.0817%14 Jul
debris8–8-0.0223%13 Jul
poseidon8–8-0.1421%13 Jul
eldorado4–9-0.1619%12 Jul
debris5–9-0.0215%12 Jul
vertigo13–80.0319%17 Jun
inferno13–40.0912%17 Jun
train12–120.0825%17 Jun
poseidon4–9-0.0420%31 May
sanctum8–8-0.1717%31 May
inferno1–9-0.150%31 May
nuke9–60.0715%31 May
sanctum9–6-0.0126%31 May
sanctum9–6-0.0626%31 May
poseidon3–9-0.0519%31 May
poseidon8–8-0.0133%31 May
cache9–130.0825%29 May
dust213–80.0116%29 May
warden8–130.0617%29 May
poseidon2–9-0.0428%29 May
poseidon9–60.0714%28 May
poseidon9–1-0.054%28 May
sanctum9–10.108%28 May
cache13–5-0.0912%25 May
vertigo5–9-0.1712%25 May
sanctum9–30.1818%25 May
nuke9–70.0126%25 May
poseidon7–9-0.0133%25 May
poseidon6–9-0.0819%24 May
poseidon9–50.0916%24 May
nuke9–00.1626%24 May
nuke6–9-0.0722%24 May
inferno11–13-0.0318%17 May
ancient10–130.0535%11 Apr
vertigo13–8-0.0417%11 Apr
train13–8-0.0319%4 Jan
overpass8–13-0.0911%4 Jan
ancient15–15-0.0016%4 Jan
ancient13–110.0619%4 Jan
dust213–110.0118%3 Jan
mirage13–10-0.0911%3 Jan
nuke13–11-0.0613%3 Jan
mirage13–10-0.1111%3 Jan
overpass13–10-0.0129%3 Jan
train13–5-0.0615%3 Jan
nuke13–30.0115%3 Jan
nuke13–10-0.0318%3 Jan
dust21–13-0.0525%3 Jan
ancient13–5-0.0513%3 Jan
train13–7-0.0117%3 Jan
ancient11–13-0.0021%3 Jan
train13–50.0521%2 Jan
inferno6–13-0.0522%2 Jan
nuke13–70.0311%2 Jan
overpass13–9-0.0310%2 Jan
train9–13-0.0118%2 Jan
mirage10–13-0.0321%2 Jan
ancient13–11-0.0213%1 Jan
overpass13–80.0115%1 Jan
ancient11–13-0.0212%24 Dec
ancient6–13-0.0621%24 Dec
ancient9–13-0.0113%21 Dec
mirage16–120.0414%13 Dec
overpass13–3-0.0315%13 Dec
mirage8–130.0115%12 Dec
nuke11–13-0.0318%11 Dec
dust28–130.0113%9 Dec
ancient13–60.018%6 Dec
ancient13–6-0.0216%6 Dec
inferno11–13-0.057%6 Dec
dust213–11-0.0821%6 Dec
mirage13–20.0122%6 Dec
train13–6-0.0313%6 Dec
mirage13–4-0.0310%6 Dec
train13–4-0.0118%6 Dec
ancient15–150.0116%6 Dec
nuke11–13-0.0230%6 Dec
inferno6–13-0.0419%6 Dec
dust27–13-0.0015%4 Dec
dust213–10-0.0324%4 Dec
mirage13–50.0722%1 Dec
mirage9–13-0.0313%1 Dec
ancient6–13-0.018%30 Nov
dust213–6-0.0010%29 Nov
nuke0–4-0.050%29 Nov
train7–130.0615%29 Nov
mirage7–13-0.0613%29 Nov
ancient13–16-0.036%28 Nov
nuke9–13-0.038%28 Nov
mirage13–10-0.0220%28 Nov
dust213–9-0.0813%28 Nov
ancient13–10.1122%28 Nov
dust213–40.028%28 Nov
overpass13–5-0.0510%27 Nov
mirage13–70.0619%27 Nov
nuke13–3-0.049%27 Nov
mirage13–80.0118%27 Nov
overpass11–130.0432%27 Nov
mirage13–1-0.0126%27 Nov

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 →