SMith45

SMith45 — CS2 Stats

76561199785950650[U:1:1825684922]Steam profile ↗✓ No bans

665Tracked matches55%Win rate2024Tracked since
1,566Hours in CS27Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
Premier CS Rating4,172Grey band · top ~82.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 4,172 -828 23 Sept – 10 Nov · 16 days played
3,8525,000peak 5,00023 Sept10 Nov
5,256Peak Premier in tracked matches
34Days played since 2026-09-21

Premier CS Rating

  • 828 below peak (5,000)
  • -308 over 30 days · steady
  • Next: Light Blue band at 5,000 — 828 to go
  • Reached: 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate37.4%38.2%39.9%2.6% short
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.890.830.920.03 short
Match win rate45.1%40.2%42.3%above

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

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

Share this profile

CSDB.GGSMith45PREMIER4,172 · Grey 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

Aim50
Positioning49
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateWWWLWLLWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · −56ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 550ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 549ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 577ms

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 (+1.9 against its own average).

Aim5.0
Utility5.7
Positioning4.9
Opening Duels2.0
Clutch2.6

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 76% 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

CT openings. Opening success drops from 51% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 559ms 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

Aim5.0
Positioning4.9
Utility5.7
Mechanics5.6
Opening Duels2.8
Win Impact6.7

Composite 4.6/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time565ms−31ms
first ⅓ avg 596ms → last ⅓ avg 565ms
Headshot accuracy12.7%−5.2%
first ⅓ avg 17.9% → last ⅓ avg 12.7%

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

0.10Best match rating · 13–0 · nuke, 25 Sept →
36%Best headshot accuracy · 13–4 · inferno, 23 Sept →
398msFastest reaction time · 13–10 · ancient, 2 Nov →
13–0Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
8–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 71% over 7mirageWeakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
dust2C3314–1942%-0.02
mirageC2610–1638%-0.02
infernoB168–850%-0.03
ancientC94–544%-0.01
anubisC73–443%-0.03
nukeS75–271%0.03
cache—21–150%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 26). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,371Lifetime kills
0.89K/D · Top 50% of Grey band
2,171Matches
45.1%Match win rate · Top 25% of Grey band
37.4%Headshot %
0.0%Shot accuracy
3,359MVPs
817Hours (in match)
2,601Bombs planted
336Bombs defused

Most-used weapons

AK-479,911
MP91,214
MP7800
HE Grenade252
AWP235

Lifetime map wins

6,383dust2
3,510inferno
1,708nuke
320train
21vertigo
14aztec
1italy
1ar_baggage

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

Faceit stats

Combat

4Matches
25%Win rate
0.62Avg K/D
55.1ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.507.5
Dust21100%1.0013.0
Inferno10%0.508.0

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.

12.8%Headshot accuracy
29.9%Accuracy (enemy spotted)
30.2%Spray accuracy
75.3%Counter-strafing
9.7°Preaim
559msReaction time
50.7%T opening success
32.0%CT opening success
0.53Enemies flashed / flash
4.5%Flash assists
11.93HE damage / grenade
10.23Flashes / 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 12.7858% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.9743% — 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.

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–50.0619%12 Nov →
dust213–6-0.029%12 Nov →
anubis13–11-0.0410%12 Nov →
mirage7–130.0117%11 Nov →
mirage13–90.0112%11 Nov →
inferno9–13-0.077%10 Nov →
ancient5–13-0.0217%10 Nov →
dust213–110.1011%10 Nov →
dust25–130.0425%10 Nov →
inferno5–13-0.0514%10 Nov →
mirage12–12-0.0319%9 Nov →
ancient9–13-0.0513%9 Nov →
inferno0–13-0.063%9 Nov →
dust23–13-0.0315%9 Nov →
dust210–80.0112%8 Nov →
dust27–20.023%8 Nov →
nuke13–90.0913%8 Nov →
mirage13–6-0.0521%8 Nov →
inferno16–120.017%6 Nov →
mirage10–13-0.0219%6 Nov →
ancient13–10-0.0010%6 Nov →
dust213–4-0.078%6 Nov →
mirage3–13-0.0216%5 Nov →
dust213–8-0.0410%5 Nov →
ancient10–130.0213%5 Nov →
dust211–130.0214%5 Nov →
ancient13–40.0318%5 Nov →
anubis13–80.028%3 Nov →
dust210–13-0.0213%3 Nov →
mirage13–7-0.085%2 Nov →
mirage9–13-0.0013%2 Nov →
ancient13–10-0.0320%2 Nov →
dust213–3-0.026%2 Nov →
cache8–13-0.0613%2 Nov →
nuke13–7-0.0414%2 Nov →
inferno13–11-0.037%31 Oct →
nuke13–20.0220%30 Oct →
mirage13–5-0.0210%30 Oct →
dust213–3-0.0119%30 Oct →
anubis5–13-0.0814%30 Oct →
nuke10–130.0216%30 Oct →
dust25–13-0.019%30 Oct →
mirage9–13-0.088%29 Oct →
dust210–13-0.0418%29 Oct →
inferno13–4-0.0719%29 Oct →
nuke9–13-0.0113%29 Oct →
inferno13–11-0.0316%29 Oct →
dust28–13-0.0732%29 Oct →
dust24–13-0.0815%28 Oct →
mirage10–130.0522%28 Oct →
mirage13–9-0.0216%28 Oct →
mirage13–7-0.0219%28 Oct →
dust213–11-0.0416%28 Oct →
dust22–13-0.014%27 Oct →
mirage12–12-0.0316%27 Oct →
inferno3–13-0.0318%26 Oct →
dust213–2-0.0131%26 Oct →
mirage13–11-0.0220%26 Oct →
dust213–70.0529%25 Oct →
cache13–110.0921%23 Oct →
ancient13–90.0417%23 Oct →
dust212–12-0.0712%23 Oct →
dust212–12-0.0619%22 Oct →
inferno5–13-0.058%21 Oct →
dust25–13-0.0916%21 Oct →
mirage12–120.0311%21 Oct →
mirage13–6-0.059%20 Oct →
dust211–13-0.0217%18 Oct →
dust213–2-0.0329%18 Oct →
mirage6–13-0.0615%18 Oct →
inferno13–10-0.0219%16 Oct →
mirage13–70.0116%15 Oct →
mirage6–13-0.0412%15 Oct →
mirage11–130.0613%15 Oct →
dust28–13-0.0118%14 Oct →
ancient8–13-0.0328%14 Oct →
inferno12–12-0.1115%13 Oct →
nuke13–80.0625%13 Oct →
dust211–13-0.0611%12 Oct →
dust210–13-0.0122%9 Oct →
dust213–70.0316%9 Oct →
mirage10–13-0.0519%9 Oct →
dust212–12-0.0415%7 Oct →
inferno4–13-0.0713%7 Oct →
inferno13–6-0.028%4 Oct →
anubis0–7-0.0430%25 Sept →
nuke13–00.1018%25 Sept →
mirage6–13-0.086%24 Sept →
inferno11–13-0.0714%24 Sept →
dust28–13-0.0317%24 Sept →
dust213–6-0.0528%24 Sept →
mirage2–130.0017%23 Sept →
ancient6–13-0.0315%23 Sept →
anubis13–5-0.039%23 Sept →
inferno13–40.0636%23 Sept →
mirage10–13-0.069%23 Sept →
anubis1–13-0.0322%22 Sept →
mirage13–50.0221%22 Sept →
anubis10–130.0215%21 Sept →
dust27–13-0.0925%21 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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