SMART2

SMART2 — CS2 Stats

76561198302164646[U:1:341898918]Steam profile ↗✓ No bans

2,430Tracked matches44%Win rate2020Tracked since
9,033Hours in CS30Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
Premier CS Rating10,280Blue band · top ~53.4% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (3 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. 30 days played since 27 Jun 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: 10,280 +1,193 27 Jun19 Sept · 18 days played
9,08710,280peak 10,28027 Jun19 Sept
10,392Peak Premier in tracked matches
30Days played since 2026-06-27

Premier CS Rating

  • At peak — 10,280
  • +744 over 30 days · improving
  • +1,193 over 90 days
  • Next: Purple band at 15,000 4,720 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=20,242), 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 rate37.1%41.9%44.3%7.2% short
Shot accuracy15.2%9.6%11.8%above
Kill/death ratio0.990.981.030.04 short
Match win rate38.0%43.8%45.2%7.3% short

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

Widest gap: Headshot rate. 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.GGSMART2PREMIER10,280 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning45
Utility22

0–100 skill scores via Leetify.

Recent form

COLD37558Last 10037%Win rateLLWTLLWWLT

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −1.7pp headshot accuracy · +54ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 131 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 700ms

Last 10

  • 352 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 681ms

Last 20

  • 983 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 654ms

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 PlayerPositioning stands above the rest of this profile (+1.9 against its own average).

Aim4.9
Utility2.2
Positioning4.5
Opening Duels1.3
Clutch2.6

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

iM

Plays most like iM 87% 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. 651ms 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

Aim4.9
Positioning4.5
Utility2.2
Mechanics5.5
Opening Duels1.9
Win Impact3.1

Composite 3.8/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time657ms−23ms
first ⅓ avg 679ms → last ⅓ avg 657ms
Headshot accuracy13.3%+3.6%
first ⅓ avg 9.7% → last ⅓ avg 13.3%

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

0.13Best match rating · 13–3 · dust2, 27 Jun
29%Best headshot accuracy · 13–11 · dust2, 11 Sept
422msFastest reaction time · 4–10 · nuke, 15 Jul
13–1Biggest win · mirage, 22 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
75In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 50% over 20mirageWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2C2291341%-0.01
infernoB20101050%-0.02
mirageD1861233%-0.01
nukeC156940%-0.04
anubisD93633%0.01
cacheC52340%-0.01
ancient41325%-0.04
overpass3030%-0.02
train1010%-0.11
vertigo1010%-0.07
italy1010%-0.07
shelter1010%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

190,106Lifetime kills
0.99K/D · Top 50% of Blue band
10,342Matches
38.0%Match win rate
37.1%Headshot %
15.2%Shot accuracy · Top 25% of Blue band
25,968MVPs
4,622Hours (in match)
13,212Bombs planted
1,839Bombs defused

Most-used weapons

AK-4759,167
AWP36,967
P9010,371
Negev4,484
Knife3,631
AUG2,934

Lifetime map wins

15,809dust2
10,721inferno
3,682nuke
2,304train
2,292vertigo
1,793cbble
1,024office
125lake

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

Faceit stats

Combat

774Matches
39%Win rate
0.83Avg K/D
68.3ADR
34%Headshot %

Clutches & streaks

33%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6859%1.2514.8
Dust23050%0.9813.9
Inferno2854%1.2515.6
Nuke1759%1.1216.4
Anubis1650%1.1715.6
Vertigo1450%1.3117.7
Overpass757%1.0014.7
Ancient771%1.1113.9

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.

13.5%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.5%Spray accuracy
74.9%Counter-strafing
11.5°Preaim
651msReaction time
37.9%T opening success
37.1%CT opening success
0.37Enemies flashed / flash
4.3%Flash assists
4.41HE damage / grenade
2.36Flashes / 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 13.5296% — 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 0.3663 — 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 37.9231% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.1018%21 Sept
mirage8–13-0.0214%19 Sept
nuke13–70.0417%19 Sept
inferno8–8-0.044%19 Sept
anubis2–13-0.0024%19 Sept
dust210–13-0.0115%19 Sept
inferno13–90.0110%17 Sept
inferno13–40.043%13 Sept
dust211–13-0.086%13 Sept
anubis15–150.0418%13 Sept
dust210–13-0.0517%13 Sept
dust215–15-0.0213%12 Sept
inferno13–8-0.0311%12 Sept
nuke16–130.0017%12 Sept
cache13–9-0.038%11 Sept
dust213–6-0.0317%11 Sept
dust213–11-0.0829%11 Sept
ancient13–16-0.068%9 Sept
mirage13–110.1114%9 Sept
mirage5–130.0513%9 Sept
nuke5–13-0.0715%9 Sept
dust23–13-0.040%9 Sept
cache12–12-0.0212%8 Sept
dust213–9-0.017%8 Sept
inferno10–13-0.026%8 Sept
mirage11–13-0.0717%8 Sept
inferno7–13-0.064%8 Sept
nuke3–9-0.1314%8 Sept
mirage13–50.0420%8 Sept
anubis4–130.0713%6 Sept
inferno13–100.0026%6 Sept
train5–13-0.1113%5 Sept
inferno6–13-0.1016%5 Sept
inferno4–130.059%5 Sept
vertigo8–13-0.0712%5 Sept
mirage4–13-0.014%5 Sept
dust213–110.0613%5 Sept
cache13–90.0312%5 Sept
nuke13–8-0.026%5 Sept
ancient4–13-0.017%5 Sept
mirage3–13-0.055%4 Sept
dust213–100.0411%3 Sept
inferno13–4-0.0210%3 Sept
dust26–13-0.1015%28 Aug
dust215–150.0014%26 Aug
mirage5–13-0.0824%26 Aug
dust213–50.0318%26 Aug
mirage10–13-0.0911%15 Aug
inferno13–10-0.0526%13 Aug
dust211–130.0116%13 Aug
mirage9–13-0.094%8 Aug
anubis9–130.0416%8 Aug
mirage10–13-0.024%8 Aug
anubis13–5-0.025%8 Aug
anubis9–13-0.0115%7 Aug
mirage13–80.0210%24 Jul
ancient5–13-0.045%24 Jul
inferno7–13-0.0610%23 Jul
mirage10–13-0.0311%23 Jul
mirage13–6-0.023%23 Jul
anubis13–11-0.088%23 Jul
anubis13–110.109%22 Jul
italy0–3-0.070%22 Jul
shelter12–120.0110%22 Jul
nuke8–13-0.096%22 Jul
mirage10–130.0314%22 Jul
cache11–13-0.0513%22 Jul
mirage13–1-0.0215%22 Jul
nuke13–6-0.0112%22 Jul
nuke5–13-0.0912%22 Jul
dust20–13-0.065%21 Jul
inferno13–8-0.049%21 Jul
inferno13–7-0.016%21 Jul
inferno2–6-0.150%19 Jul
dust20–13-0.0813%19 Jul
nuke2–130.0118%17 Jul
nuke15–15-0.0314%17 Jul
inferno13–30.0715%16 Jul
dust23–13-0.0018%16 Jul
overpass9–13-0.039%16 Jul
nuke10–13-0.036%16 Jul
inferno9–130.0711%16 Jul
nuke4–10-0.030%15 Jul
dust213–11-0.0110%15 Jul
ancient13–8-0.035%15 Jul
mirage13–3-0.045%15 Jul
overpass6–13-0.033%4 Jul
cache5–130.0413%3 Jul
dust21–13-0.108%3 Jul
overpass3–13-0.002%3 Jul
inferno6–13-0.0110%3 Jul
nuke13–11-0.0111%3 Jul
dust213–30.0619%3 Jul
mirage11–130.028%3 Jul
anubis8–13-0.0115%28 Jun
nuke12–2-0.0117%28 Jun
inferno13–5-0.016%28 Jun
dust213–30.1311%27 Jun
dust29–130.076%27 Jun
inferno15–150.0310%27 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 →