mozameister

mozameister — CS2 Stats

RU76561198773911041[U:1:813645313]Steam profile ↗✓ No bans

270Tracked matches62%Win rate2025Tracked since
385Hours in CS21Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+64Tracked matches · now 270
+22.8ppWin rate · 39.3% → 62.1%

Rating over time

41Days played since 2026-07-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches88——
Win rate63%——
K/D0.66——
Headshot %33%——

Measured 2 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,875), 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 6 medianLevel 7 medianvs Level 7
Headshot rate46.4%44.8%45.7%meets
Shot accuracy0.0%12.4%12.7%12.7% short
Kill/death ratio0.661.031.050.40 short
Match win rate51.1%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmozameisterFACEITLevel 6STANDINGTop 54.0% 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

Aim65
Positioning50
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateLWLLWWWWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.0pp headshot accuracy · −19ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 552ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 571ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

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: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim6.5
Utility3.9
Positioning5.0
Opening Duels1.5
Clutch0.0

Limited utility dependence

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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 577ms 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

Aim6.5
Positioning5.0
Utility3.9
Mechanics7.1
Opening Duels2.4
Win Impact9.0

Composite 5.7/10 (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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time576ms−55ms
first ⅓ avg 631ms → last ⅓ avg 576ms
Headshot accuracy13.1%−0.5%
first ⅓ avg 13.6% → last ⅓ avg 13.1%

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

0.12Best match rating · 9–4 · nuke, 12 Jul →
57%Best headshot accuracy · 8–13 · nuke, 31 Jul →
438msFastest reaction time · 13–11 · anubis, 22 Sept →
13–0Biggest win · anubis, 16 Sept →

Across the last 100 tracked matches.

Highlights

13Longest win streak
7–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 73% over 11trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
anubisA2012–860%-0.03
nukeC197–1237%-0.04
cacheS128–467%-0.02
vertigoS118–373%-0.02
dust2B105–550%-0.02
mirageA85–363%-0.04
infernoA74–357%-0.02
trainD51–420%-0.06
ancient—43–175%-0.03
office—22–0100%-0.01
poseidon—10–10%-0.05
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Lifetime stats

7,402Lifetime kills
0.66K/D
423Matches
51.1%Match win rate · Top 25% of Level 6 players
46.4%Headshot % · Top 50% of Level 6 players
0.0%Shot accuracy
659MVPs
227Hours (in match)
200Bombs planted
208Bombs defused

Most-used weapons

Lifetime map wins

565nuke
525dust2
368vertigo
291inferno
183train
162office

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

Faceit stats

Combat

47Matches
74%Win rate
0.92Avg K/D
58.3ADR
36%Headshot %

Clutches & streaks

18%1v1 clutch win
4%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1567%0.8610.8
Cache1080%1.0111.4
Vertigo7100%1.0411.4
Ancient560%0.7011.0
Inferno367%0.697.0
Nuke367%0.7811.7
Dust23100%1.4510.7
Mirage10%0.8815.0

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.

13.2%Headshot accuracy
32.3%Accuracy (enemy spotted)
40.1%Spray accuracy
82.2%Counter-strafing
9.9°Preaim
577msReaction time
46.1%T opening success
33.2%CT opening success
0.50Enemies flashed / flash
3.1%Flash assists
5.61HE damage / grenade
4.28Flashes / 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. 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 13.1743% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.1657% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0614%30 Sept →
cache13–2-0.0423%30 Sept →
nuke4–13-0.0213%30 Sept →
train8–13-0.0214%29 Sept →
anubis13–40.0011%28 Sept →
cache16–14-0.0413%28 Sept →
cache13–10-0.0110%27 Sept →
vertigo13–80.0321%27 Sept →
cache8–130.037%23 Sept →
cache13–7-0.0212%23 Sept →
anubis13–3-0.017%23 Sept →
nuke13–100.0214%22 Sept →
anubis13–11-0.0413%22 Sept →
dust28–13-0.0518%21 Sept →
nuke3–13-0.1112%20 Sept →
anubis13–7-0.055%20 Sept →
anubis5–13-0.0823%20 Sept →
anubis10–13-0.039%19 Sept →
cache13–50.0219%19 Sept →
anubis13–6-0.0219%16 Sept →
inferno13–1-0.0110%16 Sept →
cache12–10.080%16 Sept →
anubis10–13-0.059%16 Sept →
anubis13–0-0.0214%16 Sept →
cache13–4-0.0319%14 Sept →
ancient14–16-0.0415%14 Sept →
anubis10–13-0.086%14 Sept →
nuke13–4-0.0913%13 Sept →
vertigo13–4-0.0713%13 Sept →
nuke12–12-0.0917%13 Sept →
dust213–3-0.014%13 Sept →
anubis13–30.027%12 Sept →
anubis5–130.0528%10 Sept →
office13–4-0.017%9 Sept →
vertigo13–11-0.0215%9 Sept →
ancient13–6-0.057%9 Sept →
inferno13–11-0.038%9 Sept →
cache13–7-0.0810%6 Sept →
anubis13–8-0.049%6 Sept →
dust213–40.0012%6 Sept →
vertigo13–7-0.0113%5 Sept →
vertigo13–4-0.0311%5 Sept →
ancient13–6-0.0017%5 Sept →
vertigo13–40.022%5 Sept →
anubis13–6-0.052%4 Sept →
anubis13–10-0.067%4 Sept →
nuke8–13-0.047%4 Sept →
inferno8–13-0.059%4 Sept →
vertigo13–9-0.0415%3 Sept →
mirage13–7-0.0324%2 Sept →
nuke2–9-0.0914%2 Sept →
nuke6–13-0.0117%2 Sept →
dust213–40.0523%1 Sept →
mirage13–1-0.0525%1 Sept →
inferno13–10-0.0417%30 Aug →
dust28–13-0.0817%29 Aug →
nuke4–13-0.0323%29 Aug →
inferno8–13-0.0423%26 Aug →
anubis5–13-0.0514%26 Aug →
dust211–13-0.065%22 Aug →
nuke9–13-0.0518%22 Aug →
inferno13–20.043%19 Aug →
train13–8-0.0517%18 Aug →
vertigo12–12-0.038%15 Aug →
train6–13-0.0217%15 Aug →
dust26–13-0.0316%14 Aug →
dust213–5-0.024%14 Aug →
train1–13-0.150%12 Aug →
nuke5–6-0.090%9 Aug →
mirage13–3-0.048%9 Aug →
train3–13-0.0543%8 Aug →
mirage13–11-0.0417%8 Aug →
cache5–13-0.038%7 Aug →
dust29–13-0.064%7 Aug →
poseidon8–8-0.0521%4 Aug →
nuke13–110.0118%4 Aug →
mirage7–130.0110%4 Aug →
dust213–20.0723%4 Aug →
mirage13–7-0.0510%3 Aug →
anubis10–130.0211%3 Aug →
cache12–12-0.0711%2 Aug →
ancient13–1-0.024%2 Aug →
cache5–13-0.125%2 Aug →
mirage8–13-0.0514%2 Aug →
vertigo13–9-0.0218%2 Aug →
vertigo3–13-0.1013%2 Aug →
vertigo12–12-0.016%2 Aug →
mirage10–13-0.094%2 Aug →
nuke13–1-0.088%31 Jul →
inferno4–13-0.0011%31 Jul →
nuke8–13-0.0957%31 Jul →
nuke13–1-0.006%31 Jul →
nuke9–13-0.0811%25 Jul →
anubis13–70.0310%22 Jul →
anubis13–11-0.068%22 Jul →
overpass13–4-0.0211%16 Jul →
office13–1-0.0217%16 Jul →
nuke3–9-0.1625%12 Jul →
nuke9–40.1221%12 Jul →
nuke9–50.1218%12 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches13-Win Streak
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.