Toaster

Toaster — CS2 Stats

BW76561198891908404[U:1:931642676]Steam profile ↗✓ No bans

1,806Tracked matches54%Win rate2021Tracked since
2,179Hours in CS6Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (9 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: 15,000 +955 2 May – 27 Oct · 16 days played
13,25015,727peak 15,7272 May27 Oct
15,727Peak Premier in tracked matches
42Days played since 2026-05-01

Premier CS Rating

  • 727 below peak (15,727)
  • -658 over 30 days · declining
  • -727 over 90 days
  • Next: Pink band at 20,000 — 5,000 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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate45.9%44.8%45.7%meets
Shot accuracy9.8%12.4%12.7%3.0% short
Kill/death ratio0.911.031.050.14 short
Match win rate28.8%45.2%45.7%16.8% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGToasterFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER15,000 · Purple 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

Aim61
Positioning72
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLTLLWWWLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.5pp headshot accuracy · −38ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 683ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 635ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • 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 Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.1
Utility5.6
Positioning7.2
Opening Duels6.9
Clutch3.6

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

s1mple

Plays most like s1mple 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

Strengths

T openings. 76% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 76% on T to 55% on CT — first contacts on the defending side are being lost.

Reaction time. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim6.1
Positioning7.2
Utility5.6
Mechanics4.2
Opening Duels8.1
Win Impact6.2

Composite 6.2/10 (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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time653ms−69ms
first ⅓ avg 722ms → last ⅓ avg 653ms
Headshot accuracy21.8%−1.8%
first ⅓ avg 23.7% → last ⅓ avg 21.8%

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

0.23Best match rating · 6–1 · nuke, 3 Aug →
50%Best headshot accuracy · 1–13 · anubis, 15 May →
469msFastest reaction time · 8–13 · nuke, 15 Oct →
13–2Biggest win · ancient, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 68% over 19mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC218–1338%0.00
nukeA2011–955%0.03
ancientS1913–668%0.02
cacheS96–367%0.00
anubisD93–633%-0.00
mirageD72–529%-0.00
dust2—42–250%-0.01
overpass—41–325%-0.03
vertigo—32–167%-0.01
stronghold—10–10%-0.04
alpine—10–10%-0.00
office—11–0100%-0.05
train—11–0100%0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,308Lifetime kills
0.91K/D
4,068Matches
28.8%Match win rate
45.9%Headshot % · Top 50% of Level 6 players
9.8%Shot accuracy
6,455MVPs
1,375Hours (in match)
948Bombs planted
485Bombs defused

Most-used weapons

AK-4738,975
AWP8,735
MP92,202
MAC-101,767
FAMAS1,418

Lifetime map wins

5,058inferno
4,977nuke
1,983vertigo
1,972dust2
927train
386office
237lake
151cbble

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

Faceit stats

Combat

317Matches
50%Win rate
1.14Avg K/D
96.1ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke3658%1.2517.9
Ancient3667%1.1618.3
Inferno2442%1.7019.6
Vertigo1644%1.1118.9
Anubis1233%0.8813.9
Overpass1173%1.1317.2
Mirage1127%1.0618.6
Dust2956%1.1216.0

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.

21.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
36.7%Spray accuracy
69.1%Counter-strafing
10.2°Preaim
647msReaction time
75.9%T opening success
54.9%CT opening success
0.54Enemies flashed / flash
3.2%Flash assists
10.01HE damage / grenade
9.34Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0011%27 Oct →
dust215–150.0320%22 Oct →
cache6–13-0.0631%17 Oct →
nuke10–13-0.0636%17 Oct →
nuke13–80.0321%16 Oct →
nuke13–70.1025%16 Oct →
cache13–8-0.0028%16 Oct →
vertigo13–160.0117%15 Oct →
ancient13–20.0517%15 Oct →
nuke8–13-0.0821%15 Oct →
nuke13–100.0324%14 Oct →
inferno13–100.0413%14 Oct →
vertigo13–6-0.0415%13 Oct →
nuke13–7-0.0214%2 Oct →
mirage4–130.0019%26 Sept →
anubis14–160.0220%12 Sept →
anubis13–50.0220%5 Sept →
nuke12–120.0229%5 Sept →
inferno13–110.0113%3 Sept →
mirage3–130.0227%20 Aug →
cache13–90.0122%17 Aug →
nuke14–16-0.0411%15 Aug →
mirage4–13-0.0326%12 Aug →
cache13–110.0621%12 Aug →
inferno7–13-0.0219%6 Aug →
nuke13–40.1322%6 Aug →
mirage13–50.0536%3 Aug →
inferno11–130.0336%3 Aug →
nuke6–10.2324%3 Aug →
inferno6–13-0.0221%3 Aug →
ancient13–110.0312%3 Aug →
ancient13–70.0826%29 Jul →
ancient15–150.0121%29 Jul →
cache2–13-0.0325%27 Jul →
ancient16–140.0117%27 Jul →
inferno13–40.0625%27 Jul →
nuke13–80.0621%27 Jul →
anubis1–12-0.0422%24 Jul →
nuke13–100.0418%24 Jul →
ancient11–130.0119%24 Jul →
anubis5–130.0221%24 Jul →
cache13–5-0.0218%24 Jul →
anubis12–16-0.0120%22 Jul →
inferno10–130.0326%22 Jul →
ancient9–13-0.0229%22 Jul →
anubis13–90.0216%22 Jul →
nuke11–130.0625%14 Jul →
nuke16–140.0420%14 Jul →
inferno13–11-0.0411%6 Jul →
ancient10–13-0.0426%6 Jul →
ancient11–13-0.0219%3 Jul →
nuke13–110.0340%3 Jul →
ancient13–70.0716%3 Jul →
inferno13–80.0420%3 Jul →
ancient13–110.0419%2 Jul →
nuke13–60.0813%2 Jul →
inferno15–15-0.0517%26 Jun →
ancient13–40.0313%26 Jun →
nuke7–130.0121%26 Jun →
inferno9–130.0113%26 Jun →
mirage14–16-0.0223%22 Jun →
nuke5–130.0216%22 Jun →
inferno8–13-0.0022%12 Jun →
anubis4–13-0.0521%12 Jun →
ancient13–50.0422%12 Jun →
ancient13–20.0023%12 Jun →
inferno13–11-0.0236%5 Jun →
inferno11–130.0227%27 May →
overpass5–130.0012%27 May →
dust216–13-0.0318%25 May →
inferno3–13-0.0331%23 May →
anubis13–80.0530%23 May →
mirage5–13-0.0624%23 May →
anubis1–13-0.0750%15 May →
stronghold11–13-0.0414%15 May →
dust213–5-0.0031%13 May →
dust28–13-0.0418%13 May →
inferno13–30.0814%12 May →
inferno10–13-0.0120%12 May →
nuke0–13-0.0431%12 May →
inferno13–40.0421%12 May →
overpass4–13-0.0430%12 May →
alpine12–12-0.0037%12 May →
overpass5–13-0.089%11 May →
mirage13–100.0227%11 May →
office13–10-0.0520%11 May →
vertigo13–5-0.0031%11 May →
cache13–7-0.0713%9 May →
cache13–70.1126%9 May →
ancient13–40.1632%8 May →
ancient10–130.0333%8 May →
train13–50.1225%3 May →
inferno6–13-0.0220%3 May →
inferno5–13-0.0233%3 May →
ancient13–6-0.0124%3 May →
cache1–130.0325%2 May →
overpass13–30.0116%2 May →
ancient13–11-0.0213%2 May →
ancient13–7-0.048%2 May →
inferno8–13-0.0520%1 May →

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.