Smulan

Smulan — CS2 Stats

SE76561197981531377[U:1:21265649]Steam profile ↗✓ No bans

2,586Tracked matches40%Win rate2020Tracked since
13,358Hours in CS61Hrs last 2 wks
CSDB Rating3.4 LearningSupport
Premier CS Rating6,371Light Blue band · top ~72.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−163Premier CS Rating · 6,534 → 6,371

Rating over time

Premier CS Rating: 6,371 -2,336 30 Aug – 14 Oct · 25 days played
6,0989,884peak 9,88430 Aug14 Oct
9,884Peak Premier in tracked matches
22Days played since 2026-08-30

Premier CS Rating

  • 3,513 below peak (9,884)
  • -2,395 over 30 days · declining
  • Next: Blue band at 10,000 — 3,629 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate30.6%39.9%42.0%11.4% short
Shot accuracy15.5%7.0%9.6%above
Kill/death ratio0.920.920.980.06 short
Match win rate44.8%42.3%43.8%above

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

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

Share this profile

CSDB.GGSmulanPREMIER6,371 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning37
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY34–65–1Last 10034%Win rateLLLLLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −3.7pp headshot accuracy · +22ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 591ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 614ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 603ms

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 (+2.3 against its own average).

Aim3.9
Utility5.5
Positioning3.7
Opening Duels0.4

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 73% 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. 602ms 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

Aim3.9
Positioning3.7
Utility5.5
Mechanics5.3
Opening Duels1.0
Win Impact1.7

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time613ms+51ms
first ⅓ avg 562ms → last ⅓ avg 613ms
Headshot accuracy12.9%+0.1%
first ⅓ avg 12.8% → last ⅓ avg 12.9%

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

0.06Best match rating · 13–5 · nuke, 28 Sept →
33%Best headshot accuracy · 9–13 · ancient, 22 Sept →
406msFastest reaction time · 3–13 · nuke, 24 Sept →
13–2Biggest win · inferno, 7 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L5Current streak
5–15In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 59% over 17mirageWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoD216–1529%-0.03
nukeB178–947%-0.03
cacheA1710–759%-0.02
dust2D163–1319%-0.04
mirageD122–1017%-0.03
ancientD93–633%-0.01
anubisD82–625%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

262,857Lifetime kills
0.92K/D · Top 50% of Light Blue band
16,873Matches
44.8%Match win rate · Top 50% of Light Blue band
30.6%Headshot %
15.5%Shot accuracy · Top 25% of Light Blue band
25,881MVPs
7,006Hours (in match)
17,800Bombs planted
2,747Bombs defused

Most-used weapons

AK-4750,824
P9045,691
AWP28,244
P2507,152
AUG5,366
Tec-94,156

Lifetime map wins

27,492inferno
9,882dust2
8,597nuke
3,908train
3,430cbble
1,465vertigo
1,085piranesi
1,059office

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

Faceit stats

Combat

13Matches
38%Win rate
1.36Avg K/D
—ADR
31%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWL

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.

13.0%Headshot accuracy
30.4%Accuracy (enemy spotted)
29.7%Spray accuracy
73.8%Counter-strafing
11.4°Preaim
602msReaction time
36.7%T opening success
31.2%CT opening success
0.53Enemies flashed / flash
6.8%Flash assists
6.94HE damage / grenade
6.93Flashes / 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 12.9979% — below the 15% mark we flag

    Aim Training →
  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 36.748% — 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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.1113%14 Oct →
inferno11–13-0.047%13 Oct →
inferno10–13-0.0514%13 Oct →
nuke13–16-0.0710%13 Oct →
nuke2–13-0.0217%12 Oct →
inferno13–3-0.069%12 Oct →
anubis13–5-0.033%12 Oct →
ancient5–13-0.0715%12 Oct →
inferno13–110.0114%12 Oct →
nuke13–9-0.0018%12 Oct →
mirage11–13-0.0315%11 Oct →
inferno10–13-0.0714%11 Oct →
cache4–13-0.0610%11 Oct →
dust211–13-0.0524%11 Oct →
dust213–10-0.0517%11 Oct →
mirage3–13-0.0012%10 Oct →
cache13–110.0015%10 Oct →
dust23–13-0.0317%10 Oct →
mirage16–130.028%10 Oct →
mirage4–13-0.0325%10 Oct →
anubis6–13-0.047%10 Oct →
dust24–13-0.0615%9 Oct →
dust213–110.0218%9 Oct →
inferno11–13-0.077%9 Oct →
anubis13–4-0.087%9 Oct →
anubis3–13-0.0512%9 Oct →
cache13–9-0.005%9 Oct →
dust27–13-0.0414%8 Oct →
ancient13–30.0411%8 Oct →
nuke13–8-0.0221%8 Oct →
cache8–13-0.0112%8 Oct →
nuke10–13-0.0313%8 Oct →
ancient5–13-0.0610%7 Oct →
cache13–40.0214%7 Oct →
inferno11–130.0010%7 Oct →
mirage6–13-0.006%7 Oct →
inferno13–2-0.0110%7 Oct →
nuke14–16-0.0019%6 Oct →
mirage10–13-0.0414%6 Oct →
cache13–80.0412%6 Oct →
mirage11–13-0.0411%6 Oct →
ancient13–40.0214%6 Oct →
mirage11–13-0.067%6 Oct →
dust25–13-0.065%5 Oct →
cache13–10-0.049%5 Oct →
mirage16–13-0.0313%5 Oct →
inferno13–90.006%5 Oct →
nuke6–13-0.0311%4 Oct →
cache15–15-0.049%4 Oct →
inferno13–100.0113%4 Oct →
cache11–13-0.038%3 Oct →
anubis5–13-0.0613%3 Oct →
inferno10–13-0.052%3 Oct →
cache16–130.0014%3 Oct →
dust212–16-0.079%3 Oct →
inferno5–13-0.023%3 Oct →
mirage4–13-0.0716%3 Oct →
inferno6–130.0216%3 Oct →
anubis7–13-0.0810%2 Oct →
cache13–6-0.0213%2 Oct →
cache13–5-0.045%2 Oct →
dust216–14-0.029%2 Oct →
dust27–13-0.009%2 Oct →
nuke14–16-0.0719%1 Oct →
dust23–13-0.0019%1 Oct →
mirage6–13-0.0416%1 Oct →
nuke9–13-0.057%1 Oct →
inferno10–13-0.0315%30 Sept →
nuke13–8-0.018%30 Sept →
ancient5–13-0.047%30 Sept →
cache13–5-0.0215%30 Sept →
nuke13–11-0.0615%30 Sept →
cache13–9-0.0511%29 Sept →
inferno4–130.026%29 Sept →
anubis9–13-0.098%29 Sept →
dust210–130.0111%29 Sept →
nuke13–70.0113%29 Sept →
anubis11–13-0.0711%29 Sept →
dust23–13-0.0816%29 Sept →
nuke13–80.049%28 Sept →
dust211–130.0115%28 Sept →
nuke13–50.0616%28 Sept →
ancient7–130.0415%28 Sept →
inferno2–13-0.0413%28 Sept →
mirage8–13-0.095%28 Sept →
inferno13–9-0.0211%27 Sept →
cache8–13-0.084%27 Sept →
ancient13–100.0311%25 Sept →
dust24–13-0.099%25 Sept →
nuke11–13-0.0219%25 Sept →
cache10–13-0.0410%24 Sept →
ancient11–13-0.0212%24 Sept →
inferno9–13-0.0915%24 Sept →
nuke3–13-0.0729%24 Sept →
cache14–160.0513%22 Sept →
nuke13–7-0.0930%22 Sept →
inferno6–13-0.049%22 Sept →
ancient9–13-0.0633%22 Sept →
inferno8–13-0.035%22 Sept →
inferno7–13-0.045%21 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.