sM4rtM4rt

sM4rtM4rt — CS2 Stats

76561198158328556[U:1:198062828]Steam profile ↗✓ No bans

4,276Tracked matches34%Win rate2020Tracked since
5,269Hours in CS9Hrs last 2 wks
CSDB Rating1.8 LearningPositional Player
Premier CS Rating14,437Blue band · top ~31.4% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 14,437 → 14,437
+30Tracked matches · now 4,276
+6.9ppWin rate · 27.6% → 34.5%

Rating over time

Premier CS Rating: 14,437 +0 25 Jun – 28 Aug · 5 days played
14,43715,100peak 15,10025 Jun28 Aug
15,100Peak Premier in tracked matches
35Days played since 2026-06-25

Premier CS Rating

  • 663 below peak (15,100)
  • Next: Purple band at 15,000 — 563 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches55——
Win rate36%——
K/D0.58——
Headshot %36%——

Measured 3 Sep 2026 → 1 Oct 2026; no observation near 60 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 Level 2 among CSDB-tracked players (n=5,912), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate48.0%41.3%41.8%above
Shot accuracy12.5%12.7%12.2%meets
Kill/death ratio0.710.950.980.27 short
Match win rate36.0%42.6%43.3%7.3% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsM4rtM4rtFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER14,437 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim27
Positioning26
Utility4

0–100 skill scores via Leetify.

Recent form

STEADY37–52–11Last 10037%Win rateLWLWLLWWLT

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +3.7pp headshot accuracy · −32ms reaction

Win rate 0pp 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 -0.10
  • Avg headshot accuracy 9%
  • Avg reaction 608ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 15%
  • Avg reaction 612ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 13%
  • Avg reaction 627ms

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 (+1.9 against its own average).

Aim2.7
Utility0.4
Positioning2.6
Opening Duels0.0
Clutch0.0

Limited utility dependence

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 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 648ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.7
Positioning2.6
Utility0.4
Mechanics3.4
Opening Duels0.0
Win Impact0.0

Composite 1.8/10 (Learning), 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 rating-0.09−0.02
first ⅓ avg -0.07 → last ⅓ avg -0.09
Reaction time632ms−4ms
first ⅓ avg 636ms → last ⅓ avg 632ms
Headshot accuracy12.0%−0.1%
first ⅓ avg 12.1% → last ⅓ avg 12.0%

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

0.17Best match rating · 9–1 · eldorado, 4 Aug →
42%Best headshot accuracy · 4–13 · cache, 9 Aug →
109msFastest reaction time · 2–5 · alpine, 5 Jul →
13–3Biggest win · cache, 31 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

eldoradoBest map · 47% over 36infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
eldoradoB3617–1947%-0.10
anubisD113–827%-0.06
infernoD102–820%-0.09
cacheC83–538%-0.06
shelterC73–443%-0.05
fachwerkD72–529%-0.07
officeD62–433%-0.03
vertigo—41–325%-0.07
mirage—32–167%-0.05
dust2—20–20%-0.08
ancient—20–20%-0.06
boulder—11–0100%-0.07
debris—10–10%-0.19
alpine—10–10%-0.11
nuke—11–0100%-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

180,647Lifetime kills
0.71K/D
11,982Matches
36.0%Match win rate
48.0%Headshot % · Top 25% of Level 2 players
12.5%Shot accuracy
15,507MVPs
4,907Hours (in match)
5,867Bombs planted
2,043Bombs defused

Most-used weapons

AK-4770,183
AWP10,197
AUG4,904
MP73,406
SCAR-203,220

Lifetime map wins

9,854dust2
5,343inferno
2,932office
2,845vertigo
2,214nuke
1,737train
552lake
420italy

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

Faceit stats

Combat

43Matches
35%Win rate
0.70Avg K/D
67.1ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient333%0.6214.0
Mirage250%0.589.0
Anubis10%0.6511.0

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.

13.3%Headshot accuracy
27.0%Accuracy (enemy spotted)
29.3%Spray accuracy
65.3%Counter-strafing
10.6°Preaim
648msReaction time
20.4%T opening success
20.3%CT opening success
0.12Enemies flashed / flash
0.0%Flash assists
0.04HE damage / grenade
0.48Flashes / 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 13.3421% — below the 15% mark we flag

    Aim Training →
  2. 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 0.1161 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 20.3804% — below the 40% mark we flag

Spend your practice time on Inferno

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 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo5–13-0.0415%28 Sept →
vertigo13–7-0.049%28 Sept →
eldorado1–9-0.250%21 Sept →
eldorado9–6-0.1017%21 Sept →
dust29–13-0.087%21 Sept →
shelter3–13-0.0634%20 Sept →
eldorado9–7-0.1020%20 Sept →
eldorado9–3-0.034%20 Sept →
inferno7–9-0.0124%20 Sept →
anubis12–12-0.0719%19 Sept →
anubis13–4-0.0214%18 Sept →
anubis4–13-0.059%18 Sept →
eldorado8–8-0.100%14 Sept →
eldorado8–8-0.115%14 Sept →
inferno5–9-0.180%14 Sept →
inferno8–8-0.136%13 Sept →
eldorado9–70.0519%13 Sept →
eldorado9–3-0.0611%13 Sept →
inferno2–9-0.2525%13 Sept →
inferno9–20.0823%9 Sept →
inferno9–6-0.0516%9 Sept →
inferno8–8-0.0612%9 Sept →
eldorado3–9-0.218%9 Sept →
office13–8-0.083%5 Sept →
office5–13-0.0810%5 Sept →
office9–13-0.0313%5 Sept →
boulder13–10-0.0715%1 Sept →
cache5–13-0.1016%1 Sept →
cache13–3-0.044%31 Aug →
cache3–13-0.0518%31 Aug →
eldorado3–9-0.0717%25 Aug →
eldorado7–9-0.156%25 Aug →
eldorado0–9-0.270%23 Aug →
eldorado9–6-0.1212%23 Aug →
eldorado5–9-0.2410%23 Aug →
eldorado7–9-0.186%13 Aug →
eldorado9–4-0.1014%13 Aug →
eldorado3–9-0.230%13 Aug →
eldorado7–9-0.105%12 Aug →
eldorado3–9-0.1514%12 Aug →
eldorado9–30.0440%12 Aug →
shelter13–6-0.0511%9 Aug →
cache4–13-0.0642%9 Aug →
inferno7–9-0.1311%8 Aug →
eldorado9–5-0.0226%8 Aug →
fachwerk5–13-0.1311%8 Aug →
fachwerk8–13-0.0322%7 Aug →
fachwerk13–5-0.0814%7 Aug →
eldorado8–8-0.0617%5 Aug →
eldorado7–9-0.0820%5 Aug →
shelter13–4-0.0417%4 Aug →
eldorado9–4-0.1317%4 Aug →
eldorado9–10.1722%4 Aug →
eldorado6–9-0.1815%4 Aug →
fachwerk5–13-0.0610%31 Jul →
eldorado8–8-0.0533%31 Jul →
eldorado9–6-0.097%31 Jul →
shelter13–30.0121%30 Jul →
anubis9–13-0.0823%30 Jul →
eldorado4–9-0.250%29 Jul →
vertigo10–13-0.077%29 Jul →
vertigo9–13-0.118%29 Jul →
eldorado9–5-0.1119%28 Jul →
anubis8–13-0.087%28 Jul →
anubis0–13-0.1017%28 Jul →
eldorado9–2-0.110%27 Jul →
anubis13–7-0.058%27 Jul →
eldorado1–9-0.2723%27 Jul →
anubis3–13-0.120%27 Jul →
fachwerk10–13-0.047%22 Jul →
fachwerk13–11-0.0913%21 Jul →
fachwerk11–13-0.0613%21 Jul →
shelter7–13-0.119%21 Jul →
eldorado9–7-0.023%13 Jul →
eldorado9–60.0114%13 Jul →
eldorado9–5-0.0214%13 Jul →
debris6–9-0.1914%13 Jul →
shelter8–13-0.054%11 Jul →
eldorado8–8-0.0713%11 Jul →
office13–40.0814%11 Jul →
office1–13-0.064%11 Jul →
shelter9–13-0.0711%10 Jul →
office5–13-0.0421%10 Jul →
ancient7–13-0.0513%5 Jul →
alpine2–5-0.110%5 Jul →
cache13–4-0.084%5 Jul →
cache12–12-0.0812%5 Jul →
anubis12–16-0.0216%28 Jun →
dust24–13-0.0814%28 Jun →
mirage9–13-0.0624%28 Jun →
ancient10–13-0.0615%28 Jun →
mirage13–9-0.0514%27 Jun →
cache5–13-0.0513%27 Jun →
cache13–7-0.059%27 Jun →
anubis15–15-0.0119%26 Jun →
nuke13–6-0.134%26 Jun →
anubis13–9-0.045%26 Jun →
mirage11–2-0.0340%25 Jun →
inferno8–8-0.0610%25 Jun →
inferno7–9-0.0911%25 Jun →

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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