SMOM

SMOM — CS2 Stats

VI76561197980979260[U:1:20713532]Steam profile ↗✓ No bans

1,733Tracked matches68%Win rate2020Tracked since
1,961Hours in CS7Hrs last 2 wks
CSDB Rating6.0 SolidSupport
Premier CS Rating18,494Purple band · top ~14.5% of ranked players (population est.)
CSDB Leaderboard#95311 of 231184 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (14 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 31 days played since 13 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,494 +4,072 20 Jul6 Sept · 14 days played
13,86118,494peak 18,49420 Jul6 Sept
18,494Peak Premier in tracked matches
31Days played since 2026-07-13

Premier CS Rating

  • At peak — 18,494
  • +3,684 over 30 days · improving
  • Next: Pink band at 20,000 1,506 to go
  • Reached: Purple band · 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 Purple band among CSDB-tracked players (n=36,319), 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 rate38.6%44.3%46.9%8.4% short
Shot accuracy13.0%11.8%13.0%meets
Kill/death ratio0.951.031.080.13 short
Match win rate43.7%45.2%46.7%3.0% short

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

Widest gap: Headshot rate. 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.GGSMOMPREMIER18,494 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning59
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY48439Last 10048%Win rateTLWLWWLWTW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −1.4pp headshot accuracy · +60ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 594ms

Last 10

  • 532 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 578ms

Last 20

  • 1262 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 548ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim6.9
Utility5.9
Positioning5.9
Opening Duels4.5
Clutch2.2

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

jL

Plays most like jL 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Counter-strafing. Only 62% 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

Aim6.9
Positioning5.9
Utility5.9
Mechanics2.7
Opening Duels4.2
Win Impact10.0

Composite 6.0/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time551ms−61ms
first ⅓ avg 612ms → last ⅓ avg 551ms
Headshot accuracy15.6%+3.2%
first ⅓ avg 12.4% → last ⅓ avg 15.6%

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.

Personal bests

0.19Best match rating · 9–4 · inferno, 12 Sept
38%Best headshot accuracy · 3–12 · inferno, 1 Aug
406msFastest reaction time · 13–8 · nuke, 4 Sept
13–1Biggest win · cache, 17 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
33In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 92% over 13vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheS1813572%0.00
ancientD1541127%-0.01
dust2C145936%-0.03
nukeS1312192%0.01
anubisD123925%-0.00
infernoA106460%0.02
mirageC94544%-0.02
vertigoD51420%-0.01
overpass2020%-0.01
train2020%-0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,414Lifetime kills
0.95K/D
3,313Matches
43.7%Match win rate
38.6%Headshot %
13.0%Shot accuracy · Top 50% of Purple band
5,659MVPs
1,193Hours (in match)
2,976Bombs planted
1,270Bombs defused

Most-used weapons

Lifetime map wins

5,099nuke
3,124vertigo
2,915inferno
2,801dust2
1,529train
151office
29lake
23cbble

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

Faceit stats

Combat

229Matches
53%Win rate
0.86Avg K/D
65.3ADR
36%Headshot %

Clutches & streaks

31%1v1 clutch win
11%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient2756%0.8813.0
Nuke2756%0.8311.8
Anubis2446%0.7511.7
Dust22255%0.7310.9
Mirage2065%0.8111.9
Inferno1457%0.8311.9
Train1450%0.8613.9
Overpass1100%0.8416.0

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.

15.3%Headshot accuracy
37.3%Accuracy (enemy spotted)
43.8%Spray accuracy
62.2%Counter-strafing
8.9°Preaim
540msReaction time
47.2%T opening success
46.2%CT opening success
0.64Enemies flashed / flash
4.0%Flash assists
8.18HE damage / grenade
7.56Flashes / match

Recommended for you

Spend your practice time on Vertigo

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.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo12–12-0.0711%18 Sept
ancient10–13-0.0213%18 Sept
inferno9–40.1926%12 Sept
ancient7–130.0213%12 Sept
dust213–7-0.0214%10 Sept
cache13–6-0.0617%6 Sept
dust210–13-0.0419%6 Sept
nuke13–7-0.0226%6 Sept
ancient15–15-0.047%6 Sept
inferno5–00.0713%6 Sept
ancient13–80.0620%4 Sept
cache13–90.0312%4 Sept
nuke13–80.1218%4 Sept
anubis9–13-0.0514%4 Sept
cache13–20.0330%3 Sept
ancient7–130.0218%3 Sept
anubis9–130.0113%3 Sept
anubis13–70.0920%29 Aug
cache13–90.1018%27 Aug
dust213–60.009%27 Aug
nuke13–11-0.0113%27 Aug
dust211–130.0420%24 Aug
mirage13–90.0311%22 Aug
inferno13–80.0716%22 Aug
dust213–70.0313%22 Aug
nuke13–30.0516%22 Aug
anubis13–70.1020%22 Aug
cache10–130.0210%22 Aug
ancient13–2-0.0517%22 Aug
anubis2–13-0.0213%22 Aug
nuke13–5-0.0014%21 Aug
inferno13–9-0.0611%21 Aug
mirage9–13-0.0413%21 Aug
dust210–130.0110%21 Aug
anubis9–13-0.076%21 Aug
cache13–60.0121%21 Aug
cache13–9-0.0215%19 Aug
dust211–13-0.0220%19 Aug
anubis4–13-0.026%19 Aug
ancient13–40.0416%19 Aug
vertigo5–13-0.0632%18 Aug
cache12–12-0.0332%17 Aug
vertigo7–13-0.0213%15 Aug
anubis15–150.0119%15 Aug
mirage15–150.0016%15 Aug
inferno10–13-0.0419%15 Aug
ancient4–13-0.0115%15 Aug
mirage13–60.028%15 Aug
dust213–4-0.0715%8 Aug
ancient3–13-0.0714%8 Aug
inferno15–15-0.0120%5 Aug
cache9–13-0.0114%5 Aug
mirage13–6-0.0618%5 Aug
nuke13–10-0.0219%5 Aug
ancient13–9-0.0215%5 Aug
nuke13–70.0117%4 Aug
inferno3–120.0238%1 Aug
overpass8–13-0.026%31 Jul
overpass3–13-0.0026%27 Jul
train12–12-0.0520%27 Jul
train2–13-0.0610%25 Jul
inferno6–13-0.0011%25 Jul
anubis6–13-0.0415%25 Jul
anubis10–13-0.058%22 Jul
dust213–3-0.067%22 Jul
ancient15–150.0110%22 Jul
cache11–13-0.0813%20 Jul
anubis13–4-0.0114%20 Jul
nuke13–5-0.0218%20 Jul
cache13–4-0.019%20 Jul
dust28–13-0.0612%20 Jul
inferno13–6-0.0613%20 Jul
cache13–40.0115%20 Jul
cache13–30.019%20 Jul
cache8–40.064%19 Jul
vertigo5–130.0914%18 Jul
mirage10–13-0.0413%18 Jul
dust213–16-0.0511%17 Jul
cache13–4-0.0013%17 Jul
cache13–10.0211%17 Jul
mirage9–130.0415%17 Jul
dust27–13-0.018%17 Jul
nuke13–100.0716%16 Jul
cache7–13-0.052%16 Jul
ancient5–13-0.0214%16 Jul
anubis13–160.0114%16 Jul
ancient15–15-0.0210%16 Jul
mirage6–13-0.0415%15 Jul
dust22–13-0.1218%15 Jul
nuke13–50.0114%15 Jul
cache13–70.0213%15 Jul
inferno13–110.0210%15 Jul
ancient8–13-0.0113%15 Jul
dust28–13-0.0110%15 Jul
nuke13–5-0.016%14 Jul
mirage13–9-0.0812%13 Jul
nuke5–13-0.0212%13 Jul
nuke13–10-0.0514%13 Jul
ancient4–13-0.0918%13 Jul
vertigo13–11-0.0117%13 Jul

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 →