shmo

shmo — CS2 Stats

76561198353370121[U:1:393104393]Steam profile ↗✓ No bans

1,311Tracked matches62%Win rate2021Tracked since
1,880Hours in CS47Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating12,391Blue band · top ~42.2% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+162Premier CS Rating · 12,229 → 12,391

Rating over time

Premier CS Rating: 12,391 +4,261 19 Aug – 17 Oct · 32 days played
8,13012,531peak 12,53119 Aug17 Oct
12,881Peak Premier in tracked matches
35Days played since 2026-08-19

Premier CS Rating

  • 140 below peak (12,531)
  • +2,582 over 30 days · improving
  • Next: Purple band at 15,000 — 2,609 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate35.0%42.0%44.3%9.3% short
Shot accuracy9.1%9.6%11.9%2.8% short
Kill/death ratio0.890.981.030.14 short
Match win rate45.7%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGshmoPREMIER12,391 · Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning56
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWLWLLWLWWW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −2.2pp headshot accuracy · +27ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 7%
  • Avg reaction 603ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 7%
  • Avg reaction 584ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 8%
  • Avg reaction 571ms

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 (+1.4 against its own average).

Aim6.0
Utility5.0
Positioning5.6
Opening Duels1.9

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

ZywOo

Plays most like ZywOo 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 582ms 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

Aim6.0
Positioning5.6
Utility5.0
Mechanics6.0
Opening Duels4.0
Win Impact9.0

Composite 5.6/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time579ms+14ms
first ⅓ avg 565ms → last ⅓ avg 579ms
Headshot accuracy9.0%−4.9%
first ⅓ avg 13.9% → last ⅓ avg 9.0%

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

0.26Best match rating · 9–3 · nuke, 11 Sept →
40%Best headshot accuracy · 4–1 · mirage, 28 Aug →
391msFastest reaction time · 4–1 · mirage, 28 Aug →
13–0Biggest win · dust2, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 71% over 14mirageWeakest map · 44% over 25
MapGradePlayedRecordWin rateAvg rating
mirageC2511–1444%0.01
dust2S1410–471%0.03
nukeA148–657%0.03
infernoB147–750%-0.00
ancientB105–550%0.00
anubisS107–370%0.02
cacheC94–544%0.01
office—20–20%-0.03
train—11–0100%-0.02
debris—10–10%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,375Lifetime kills
0.89K/D
1,964Matches
45.7%Match win rate · Top 50% of Blue band
35.0%Headshot %
9.1%Shot accuracy
3,817MVPs
786Hours (in match)
2,262Bombs planted
691Bombs defused

Most-used weapons

Lifetime map wins

4,986inferno
1,989dust2
1,224nuke
367vertigo
202train
64office
45cbble
12italy

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.

8.9%Headshot accuracy
36.2%Accuracy (enemy spotted)
37.0%Spray accuracy
77.0%Counter-strafing
9.3°Preaim
582msReaction time
53.6%T opening success
38.7%CT opening success
0.54Enemies flashed / flash
3.4%Flash assists
12.44HE damage / grenade
5.90Flashes / 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 8.8921% — 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 38.696% — 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.

44% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.054%17 Oct →
ancient6–13-0.066%15 Oct →
dust213–00.155%15 Oct →
nuke8–13-0.0213%14 Oct →
dust212–160.016%14 Oct →
mirage13–10.074%14 Oct →
mirage8–130.068%13 Oct →
nuke13–7-0.0011%13 Oct →
inferno13–80.047%13 Oct →
nuke13–90.026%13 Oct →
anubis13–60.068%13 Oct →
anubis13–80.055%13 Oct →
mirage13–10-0.0211%13 Oct →
cache2–13-0.0517%13 Oct →
cache12–160.014%12 Oct →
anubis13–90.044%12 Oct →
office4–6-0.0626%11 Oct →
mirage13–80.035%11 Oct →
ancient13–110.046%11 Oct →
dust213–90.036%10 Oct →
mirage13–8-0.086%10 Oct →
office9–13-0.0121%9 Oct →
mirage15–150.0414%9 Oct →
inferno16–14-0.039%9 Oct →
mirage11–13-0.064%9 Oct →
inferno8–130.017%9 Oct →
mirage5–130.0115%9 Oct →
dust213–100.0211%8 Oct →
cache13–40.1010%8 Oct →
train13–10-0.0218%8 Oct →
nuke8–13-0.018%7 Oct →
inferno13–100.045%7 Oct →
inferno4–13-0.0310%7 Oct →
inferno9–6-0.0112%7 Oct →
nuke4–13-0.084%7 Oct →
anubis13–40.027%7 Oct →
anubis8–13-0.0317%7 Oct →
ancient1–13-0.0319%6 Oct →
ancient13–10.0019%6 Oct →
anubis6–13-0.0210%6 Oct →
cache5–130.0412%5 Oct →
debris6–90.0720%4 Oct →
anubis16–120.057%3 Oct →
nuke13–50.0416%3 Oct →
nuke13–70.144%3 Oct →
inferno9–13-0.039%3 Oct →
anubis13–70.0113%2 Oct →
cache16–140.0410%2 Oct →
inferno9–13-0.019%1 Oct →
ancient13–16-0.0210%1 Oct →
inferno8–80.045%1 Oct →
dust213–40.0517%1 Oct →
mirage2–13-0.083%1 Oct →
dust213–10-0.047%30 Sept →
nuke8–130.0012%30 Sept →
inferno13–70.047%30 Sept →
dust210–13-0.0818%30 Sept →
nuke13–70.0311%30 Sept →
dust213–80.0420%29 Sept →
cache4–13-0.0212%20 Sept →
mirage3–13-0.026%20 Sept →
nuke16–14-0.029%20 Sept →
inferno13–11-0.0510%19 Sept →
mirage13–40.007%19 Sept →
nuke11–130.0010%12 Sept →
ancient10–130.077%12 Sept →
cache9–13-0.027%11 Sept →
ancient13–90.028%11 Sept →
nuke9–30.2614%11 Sept →
mirage12–16-0.0111%6 Sept →
nuke9–13-0.037%6 Sept →
ancient13–5-0.0313%5 Sept →
mirage11–130.0315%4 Sept →
dust213–50.0514%4 Sept →
inferno13–40.0711%4 Sept →
mirage5–13-0.059%3 Sept →
mirage12–12-0.0511%1 Sept →
mirage13–40.0727%1 Sept →
cache16–12-0.0314%1 Sept →
mirage13–70.0416%31 Aug →
mirage15–15-0.0211%30 Aug →
ancient13–30.068%30 Aug →
inferno8–13-0.0413%30 Aug →
ancient5–13-0.0318%29 Aug →
inferno2–9-0.0814%29 Aug →
dust213–9-0.0012%29 Aug →
cache13–80.0313%29 Aug →
mirage16–140.1223%28 Aug →
nuke13–80.1318%28 Aug →
dust210–13-0.0114%28 Aug →
anubis7–13-0.0210%28 Aug →
mirage4–10.0640%28 Aug →
dust212–120.0721%23 Aug →
mirage11–130.0415%23 Aug →
dust213–80.017%23 Aug →
mirage6–130.0211%21 Aug →
mirage13–16-0.0711%20 Aug →
mirage13–20.0514%20 Aug →
dust216–130.0610%19 Aug →
anubis13–50.017%19 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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