Smarttine 3.0

Smarttine 3.0 — CS2 Stats

FI76561198051267270[U:1:91001542]Steam profile ↗✓ No bans

1,949Tracked matches59%Win rate2020Tracked since
3,948Hours in CS18Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Premier CS Rating18,252Purple band · top ~15.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (6 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.

Rating over time

Premier CS Rating: 18,252 +3,583 19 Jul – 8 Nov · 33 days played
14,66918,252peak 18,25219 Jul8 Nov
18,252Peak Premier in tracked matches
1,361Highest Faceit ELO seen on CSDB
43Days played since 2026-07-14

Faceit ELO

  • At peak — 1,361
  • Next: Level 8 at 1,531 — 170 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • At peak — 18,252
  • +1,577 over 90 days
  • Next: Pink band at 20,000 — 1,748 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 rate33.1%44.4%46.9%13.8% short
Shot accuracy16.9%11.9%13.0%above
Kill/death ratio1.081.031.08meets
Match win rate44.5%45.2%46.7%2.2% short

This profile matches the typical Pink band player on 2 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.GGSmarttine 3.0PREMIER18,252 · Purple bandPEAK ELO1,361csdb.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

Aim69
Positioning46
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWTWWWWLWLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −3.5pp headshot accuracy · +11ms 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

  • 4–0–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 614ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 619ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 613ms

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 (+1.7 against its own average).

Aim6.9
Utility5.2
Positioning4.6
Opening Duels2.1
Clutch2.0

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 606ms 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

Aim6.9
Positioning4.6
Utility5.2
Mechanics8.1
Opening Duels2.8
Win Impact7.9

Composite 6.1/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time603ms−10ms
first ⅓ avg 613ms → last ⅓ avg 603ms
Headshot accuracy14.8%−0.3%
first ⅓ avg 15.1% → last ⅓ avg 14.8%

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 · 13–3 · dust2, 15 Aug →
28%Best headshot accuracy · 13–5 · ancient, 3 Aug →
406msFastest reaction time · 8–13 · ancient, 30 Aug →
13–1Biggest win · dust2, 8 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–12In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 80% over 10nukeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoC187–1139%0.03
nukeD175–1229%-0.01
anubisB168–850%-0.00
ancientB158–753%-0.01
dust2S1310–377%0.02
cacheS108–280%0.02
mirageS107–370%0.04
boulder—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,517Lifetime kills
1.08K/D · Top 50% of Purple band
4,451Matches
44.5%Match win rate
33.1%Headshot %
16.9%Shot accuracy · Top 25% of Purple band
10,185MVPs
2,040Hours (in match)
4,409Bombs planted
1,579Bombs defused

Most-used weapons

AWP27,161
AK-4720,751
P2502,019
FAMAS1,288
SSG 081,194

Lifetime map wins

7,992inferno
4,191dust2
3,914nuke
3,206train
2,169vertigo
99cbble
30office
18lake

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

Faceit stats

Combat

347Matches
54%Win rate
1.15Avg K/D
79.9ADR
30%Headshot %

Clutches & streaks

30%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21850%1.0114.6
Ancient1631%1.0214.8
Anubis1471%1.3816.6
Nuke1457%1.2019.2
Inferno743%1.0614.7
Cache683%1.5215.3
Mirage3100%1.2114.3

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.

14.2%Headshot accuracy
38.7%Accuracy (enemy spotted)
35.0%Spray accuracy
86.5%Counter-strafing
11.0°Preaim
606msReaction time
40.5%T opening success
42.0%CT opening success
0.54Enemies flashed / flash
3.2%Flash assists
10.09HE damage / grenade
5.53Flashes / 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 14.2252% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–70.014%8 Nov →
anubis15–15-0.0314%5 Nov →
dust213–9-0.0718%5 Nov →
cache13–60.0211%5 Nov →
dust213–5-0.0114%1 Nov →
nuke13–5-0.019%30 Oct →
nuke4–13-0.0215%29 Oct →
dust213–30.018%29 Oct →
ancient3–13-0.0814%28 Oct →
cache8–130.0410%28 Oct →
ancient9–13-0.019%25 Oct →
nuke17–19-0.0311%4 Oct →
anubis3–13-0.0212%4 Oct →
nuke13–90.0515%4 Oct →
cache13–90.0110%27 Sept →
cache13–70.0225%20 Sept →
anubis13–100.0721%19 Sept →
dust213–90.0213%13 Sept →
nuke4–13-0.0420%10 Sept →
ancient14–160.0216%6 Sept →
anubis13–100.0016%6 Sept →
mirage13–80.0116%5 Sept →
anubis11–13-0.0110%2 Sept →
ancient5–13-0.0725%2 Sept →
inferno13–80.0115%1 Sept →
ancient13–6-0.0226%1 Sept →
ancient13–60.0610%1 Sept →
inferno11–130.0314%30 Aug →
nuke13–10-0.0011%30 Aug →
anubis1–13-0.0820%30 Aug →
ancient8–130.0411%30 Aug →
mirage16–130.1227%30 Aug →
boulder13–100.0218%29 Aug →
cache13–110.0114%29 Aug →
inferno11–13-0.0416%29 Aug →
anubis13–9-0.0026%24 Aug →
inferno9–130.0717%23 Aug →
nuke6–13-0.1119%23 Aug →
inferno10–130.0421%23 Aug →
cache13–40.029%21 Aug →
dust216–13-0.0212%18 Aug →
ancient13–30.0317%18 Aug →
inferno11–130.0214%16 Aug →
anubis7–13-0.0917%16 Aug →
mirage13–10-0.004%15 Aug →
cache13–90.0219%15 Aug →
dust213–30.1717%15 Aug →
inferno11–13-0.0121%15 Aug →
anubis13–110.0314%14 Aug →
dust28–130.039%14 Aug →
mirage8–130.0610%14 Aug →
nuke10–130.0018%14 Aug →
ancient13–90.0224%14 Aug →
cache8–13-0.0014%14 Aug →
nuke16–120.0220%11 Aug →
cache13–110.0323%10 Aug →
anubis13–8-0.0213%10 Aug →
inferno13–20.096%10 Aug →
nuke11–13-0.0423%9 Aug →
dust213–10.0723%8 Aug →
ancient13–50.0228%3 Aug →
mirage13–90.0125%3 Aug →
inferno13–11-0.0212%2 Aug →
mirage13–7-0.0111%2 Aug →
nuke12–16-0.0020%2 Aug →
inferno7–130.0314%2 Aug →
anubis11–130.0018%1 Aug →
mirage13–60.109%1 Aug →
nuke13–160.0524%31 Jul →
ancient4–13-0.0814%27 Jul →
nuke7–13-0.0111%27 Jul →
ancient13–9-0.0111%26 Jul →
inferno13–30.1519%26 Jul →
dust213–50.0427%26 Jul →
mirage13–70.0616%26 Jul →
inferno16–14-0.0514%23 Jul →
mirage2–130.0218%23 Jul →
dust27–130.0217%23 Jul →
cache13–110.0622%23 Jul →
anubis13–6-0.0021%23 Jul →
inferno8–13-0.0116%23 Jul →
dust213–5-0.0218%21 Jul →
anubis13–60.0519%21 Jul →
inferno13–10.1617%21 Jul →
nuke13–16-0.053%21 Jul →
nuke11–13-0.028%21 Jul →
nuke10–10.0918%21 Jul →
ancient13–60.0213%19 Jul →
inferno11–130.0810%19 Jul →
dust213–80.0413%19 Jul →
mirage5–130.0827%18 Jul →
anubis8–130.0015%16 Jul →
inferno6–13-0.027%16 Jul →
anubis13–80.0611%16 Jul →
nuke7–13-0.0120%16 Jul →
inferno16–130.0310%16 Jul →
anubis4–13-0.0511%15 Jul →
ancient14–16-0.058%15 Jul →
inferno5–13-0.0913%14 Jul →
dust27–130.0221%14 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 →

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