mo2

mo2 — CS2 Stats

MR76561199793600020[U:1:1833334292]Steam profile ↗✓ No bans

235Tracked matches61%Win rate2025Tracked since
700Hours in CS
CSDB Rating5.5 SolidSupport
Premier CS Rating19,965Top 50% of 215,386 CSDB-tracked playersPurple band · top ~8.6% of ranked players (population est.)
CSDB Leaderboard#87614 of 261542 tracked
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,965 +3,211 20 Jul – 12 Nov · 28 days played
14,26719,999peak 19,99920 Jul12 Nov
19,999Peak Premier in tracked matches
32Days played since 2026-07-20

Premier CS Rating

  • 34 below peak (19,999)
  • +3,332 over 90 days
  • Next: Pink band at 20,000 — 35 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches7——
Win rate57%——
K/D1.24——
Headshot %52%——

Measured 5 Nov 2026 → 14 Nov 2026; no observation near 14 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate44.9%44.4%46.9%2.0% short
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.191.031.08above
Match win rate46.9%45.2%46.7%meets

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

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

Share this profile

CSDB.GGmo2PREMIER19,965 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning46
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWWLWLLLWWW

Last 10 vs previous 10: −10pp win rate · +0.08 avg rating · +2.2pp headshot accuracy · −104ms reaction

Win rate −10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 30%
  • Avg reaction 555ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 533ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 585ms

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 (+1.1 against its own average).

Aim6.4
Utility4.9
Positioning4.6
Opening Duels1.9

Strong CT-side opener

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 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

T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim6.4
Positioning4.6
Utility4.9
Mechanics5.5
Opening Duels2.1
Win Impact8.6

Composite 5.5/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time581ms−50ms
first ⅓ avg 632ms → last ⅓ avg 581ms
Headshot accuracy20.7%+4.5%
first ⅓ avg 16.2% → last ⅓ avg 20.7%

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.

Personal bests

0.12Best match rating · 16–14 · nuke, 29 Jul →
100%Best headshot accuracy · 13–0 · inferno, 21 Aug →
391msFastest reaction time · 10–9 · cache, 26 Aug →
13–0Biggest win · inferno, 21 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
9–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 80% over 10nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%0.02
mirageB2311–1248%-0.01
ancientC125–742%0.01
infernoB115–645%-0.00
anubisS108–280%0.01
nukeC83–538%0.01
cacheB63–350%-0.02
train—21–150%0.08
vertigo—20–20%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,273Lifetime kills
1.19K/D · Top 25% of Purple band
1,973Matches
46.9%Match win rate · Top 50% of Purple band
44.9%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
4,458MVPs
700Hours (in match)
1,699Bombs planted
742Bombs defused

Most-used weapons

Lifetime map wins

8,448dust2
2,736inferno
742nuke
386train
162office
157vertigo
96italy
9lake

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

Skill profile

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

20.0%Headshot accuracy
33.0%Accuracy (enemy spotted)
35.3%Spray accuracy
74.7%Counter-strafing
10.5°Preaim
576msReaction time
26.1%T opening success
46.5%CT opening success
0.48Enemies flashed / flash
5.4%Flash assists
5.87HE damage / grenade
14.03Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4768 — below the 0.5 mark we flag

    Grenade Lineups →
  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 26.1127% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–80.0325%12 Nov →
anubis16–120.1023%11 Nov →
mirage10–130.0531%20 Oct →
train13–80.0442%15 Oct →
train4–110.1129%12 Oct →
vertigo10–130.0511%28 Sept →
vertigo9–130.0129%28 Sept →
inferno13–110.0419%15 Sept →
cache10–9-0.0029%26 Aug →
dust213–8-0.0717%22 Aug →
inferno13–5-0.059%21 Aug →
mirage13–8-0.1121%21 Aug →
inferno13–00.00100%21 Aug →
dust213–4-0.0324%21 Aug →
nuke15–15-0.0712%21 Aug →
anubis16–14-0.0610%21 Aug →
dust213–11-0.048%21 Aug →
anubis15–15-0.0615%21 Aug →
mirage13–9-0.0315%21 Aug →
mirage6–130.0519%20 Aug →
inferno8–13-0.0919%18 Aug →
anubis16–13-0.0013%18 Aug →
mirage10–130.0715%17 Aug →
dust213–80.0022%12 Aug →
inferno5–130.0414%12 Aug →
ancient13–6-0.0414%10 Aug →
mirage2–13-0.0914%9 Aug →
dust213–160.0515%9 Aug →
dust213–60.1118%9 Aug →
mirage4–13-0.0911%9 Aug →
dust25–130.0213%9 Aug →
ancient13–70.0411%9 Aug →
mirage7–13-0.0018%8 Aug →
anubis13–80.0225%8 Aug →
dust25–13-0.0326%6 Aug →
nuke7–130.0513%6 Aug →
anubis13–80.0413%6 Aug →
cache8–13-0.1011%6 Aug →
ancient11–13-0.0119%6 Aug →
dust211–130.0225%5 Aug →
nuke5–130.0214%5 Aug →
mirage10–130.0213%5 Aug →
ancient13–100.078%4 Aug →
dust29–130.0328%4 Aug →
nuke13–7-0.0513%4 Aug →
mirage11–130.018%4 Aug →
mirage13–100.0113%4 Aug →
mirage13–11-0.0113%4 Aug →
ancient14–16-0.0312%4 Aug →
dust213–16-0.0011%4 Aug →
inferno13–100.0220%3 Aug →
dust22–13-0.0019%3 Aug →
mirage13–110.0615%3 Aug →
nuke13–10.0719%3 Aug →
dust213–80.0217%3 Aug →
dust26–13-0.0412%2 Aug →
ancient9–130.0112%2 Aug →
nuke4–13-0.0011%2 Aug →
anubis13–70.0816%31 Jul →
ancient9–13-0.0212%31 Jul →
ancient9–130.0310%31 Jul →
mirage13–50.075%31 Jul →
anubis7–13-0.0610%31 Jul →
cache11–130.0025%31 Jul →
ancient13–70.1114%30 Jul →
cache13–8-0.0610%29 Jul →
nuke16–140.1237%29 Jul →
dust213–60.0330%29 Jul →
ancient10–13-0.018%29 Jul →
dust216–140.1124%29 Jul →
ancient10–130.0011%29 Jul →
dust213–80.0613%29 Jul →
dust211–130.0721%29 Jul →
inferno13–10.0711%27 Jul →
cache13–5-0.0019%26 Jul →
inferno11–130.0521%26 Jul →
inferno10–13-0.0113%26 Jul →
dust214–160.0924%26 Jul →
dust27–13-0.0124%26 Jul →
dust213–11-0.0121%26 Jul →
dust213–8-0.0221%26 Jul →
inferno9–13-0.0123%26 Jul →
inferno9–13-0.0910%26 Jul →
mirage2–13-0.0733%26 Jul →
cache6–130.038%25 Jul →
mirage13–5-0.009%25 Jul →
mirage13–90.0420%24 Jul →
anubis13–80.0023%23 Jul →
mirage3–13-0.138%23 Jul →
mirage14–160.0413%23 Jul →
ancient13–60.0111%23 Jul →
dust26–130.0117%23 Jul →
mirage13–50.018%23 Jul →
dust212–160.0311%22 Jul →
mirage13–70.0016%22 Jul →
dust213–40.036%22 Jul →
mirage13–10.026%22 Jul →
mirage11–13-0.0510%22 Jul →
dust211–130.0417%20 Jul →
nuke2–13-0.0422%20 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 →

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