Somple

Somple — CS2 Stats

76561199238042913[U:1:1277777185]Steam profile ↗✓ No bans

399Tracked matches48%Win rate2022Tracked since
419Hours in CS40Hrs last 2 wks
CSDB Rating6.0 SolidAll-Rounder
Premier CS Rating16,941Purple band · top ~20.7% of ranked players (population est.)
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+671Premier CS Rating · 16,270 → 16,941

Rating over time

Premier CS Rating: 16,941 +5,371 10 Sept – 18 Oct · 17 days played
11,46417,921peak 17,92110 Sept18 Oct
18,279Peak Premier in tracked matches
24Days played since 2026-07-17

Premier CS Rating

  • 980 below peak (17,921)
  • +4,813 over 30 days · improving
  • Next: Pink band at 20,000 — 3,059 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=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 rate51.0%44.3%46.9%above
Shot accuracy2.8%11.9%13.0%10.1% short
Kill/death ratio1.001.031.080.08 short
Match win rate50.3%45.2%46.7%above

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.GGSomplePREMIER16,941 · Purple bandcsdb.gg/stats

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Performance scores

Aim70
Positioning61
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY61–36–3Last 10061%Win rateWWWWTLLWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +6.9pp headshot accuracy · +55ms reaction

Win rate up 40pp 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

  • 4–0–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 566ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 609ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 582ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.0
Utility5.3
Positioning6.1
Opening Duels4.0
Clutch6.0

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

donk

Plays most like donk 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 583ms 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

Aim7.0
Positioning6.1
Utility5.3
Mechanics6.3
Opening Duels5.4
Win Impact4.4

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 rating-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time576ms−50ms
first ⅓ avg 626ms → last ⅓ avg 576ms
Headshot accuracy21.1%−4.0%
first ⅓ avg 25.1% → last ⅓ avg 21.1%

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

0.35Best match rating · 9–2 · inferno, 6 Oct →
82%Best headshot accuracy · 4–13 · mirage, 6 Oct →
195msFastest reaction time · 4–13 · mirage, 6 Oct →
13–0Biggest win · dust2, 15 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W4Current streak
11–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 88% over 8dust2Weakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
infernoA1912–763%0.07
nukeS1814–478%0.05
dust2C187–1139%0.00
mirageB136–746%0.05
ancientA117–464%0.00
anubisS87–188%0.05
cacheA53–260%0.02
vertigo—31–233%-0.06
debris—21–150%-0.07
eldorado—11–0100%0.22
poseidon—11–0100%0.32
overpass—11–0100%0.17

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,585Lifetime kills
1.00K/D
471Matches
50.3%Match win rate · Top 25% of Purple band
51.0%Headshot % · Top 25% of Purple band
2.8%Shot accuracy
1,366MVPs
159Hours (in match)
424Bombs planted
132Bombs defused

Most-used weapons

Lifetime map wins

861nuke
570inferno
416dust2
62vertigo
27office
27train
9cbble
9lake

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

Faceit stats

Combat

7Matches
43%Win rate
0.95Avg K/D
84.8ADR
48%Headshot %

Clutches & streaks

50%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke30%0.7412.7
Mirage367%1.1517.7
Inferno1100%1.0019.0

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.

20.9%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.1%Spray accuracy
78.2%Counter-strafing
10.4°Preaim
583msReaction time
53.5%T opening success
49.3%CT opening success
0.50Enemies flashed / flash
5.0%Flash assists
9.68HE damage / grenade
10.36Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0319%18 Oct →
inferno13–8-0.0124%18 Oct →
nuke13–60.0036%18 Oct →
nuke13–7-0.0315%18 Oct →
ancient15–150.0125%18 Oct →
mirage10–13-0.0342%18 Oct →
dust24–13-0.0636%15 Oct →
dust213–00.1620%15 Oct →
nuke13–110.0224%15 Oct →
inferno11–130.0310%15 Oct →
inferno8–130.049%14 Oct →
mirage11–130.0524%14 Oct →
inferno6–13-0.0518%14 Oct →
inferno5–90.1325%14 Oct →
debris2–9-0.197%14 Oct →
vertigo9–50.0329%14 Oct →
nuke5–130.0221%14 Oct →
mirage8–13-0.0220%14 Oct →
inferno9–13-0.0312%13 Oct →
cache13–110.0017%13 Oct →
nuke13–70.0126%13 Oct →
ancient5–13-0.0318%13 Oct →
dust23–13-0.0421%13 Oct →
inferno13–80.0519%13 Oct →
cache14–160.0220%13 Oct →
ancient7–13-0.0417%13 Oct →
ancient13–110.0320%13 Oct →
inferno6–9-0.0726%13 Oct →
dust213–8-0.0230%12 Oct →
dust216–14-0.0217%12 Oct →
inferno9–1-0.0224%12 Oct →
dust213–16-0.068%11 Oct →
dust213–9-0.0222%11 Oct →
nuke9–50.2524%11 Oct →
dust28–13-0.0917%11 Oct →
ancient13–8-0.0132%11 Oct →
ancient13–8-0.0119%11 Oct →
mirage4–130.0982%6 Oct →
mirage13–30.1433%6 Oct →
nuke4–9-0.0821%6 Oct →
inferno9–50.2218%6 Oct →
eldorado9–70.2279%6 Oct →
nuke9–10.3050%6 Oct →
poseidon9–10.3267%6 Oct →
nuke9–60.1350%6 Oct →
debris9–70.0656%6 Oct →
overpass9–70.1720%6 Oct →
inferno9–20.3541%6 Oct →
vertigo1–9-0.1715%6 Oct →
inferno9–70.096%6 Oct →
inferno9–10.1522%5 Oct →
inferno9–20.1925%5 Oct →
inferno9–40.1423%5 Oct →
anubis13–100.1224%5 Oct →
nuke9–10.1027%5 Oct →
ancient13–70.0733%5 Oct →
nuke13–11-0.0411%5 Oct →
anubis16–12-0.1021%4 Oct →
dust215–150.1432%4 Oct →
anubis16–120.1930%3 Oct →
nuke7–130.0818%3 Oct →
dust213–110.0827%3 Oct →
mirage9–130.1125%3 Oct →
dust24–13-0.0520%3 Oct →
cache13–60.0516%3 Oct →
ancient11–13-0.085%3 Oct →
mirage16–14-0.0410%3 Oct →
cache13–10.0114%3 Oct →
vertigo8–8-0.0522%3 Oct →
inferno9–20.1119%3 Oct →
inferno9–60.1443%3 Oct →
dust23–13-0.0426%2 Oct →
anubis10–40.0352%30 Sept →
dust213–6-0.0120%30 Sept →
anubis13–20.0830%30 Sept →
nuke5–13-0.0237%27 Sept →
anubis13–5-0.0031%27 Sept →
nuke13–10-0.0124%25 Sept →
dust214–160.0024%25 Sept →
anubis4–130.0833%25 Sept →
ancient13–10-0.0512%20 Sept →
inferno11–13-0.0412%20 Sept →
nuke13–50.0322%20 Sept →
cache11–130.0021%11 Sept →
mirage8–00.0533%10 Sept →
ancient13–60.1023%10 Sept →
mirage13–30.0722%10 Sept →
ancient13–20.0136%10 Sept →
anubis13–40.0318%7 Sept →
dust213–6-0.0115%7 Sept →
nuke13–20.0513%6 Sept →
mirage13–60.0928%30 Aug →
nuke13–90.1025%30 Aug →
mirage13–90.1328%28 Aug →
dust23–50.0244%28 Aug →
dust21–130.1013%12 Aug →
nuke13–100.0010%12 Aug →
mirage13–160.0620%30 Jul →
dust22–13-0.0410%17 Jul →
mirage10–13-0.0147%17 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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