intergalactic_toastr

intergalactic_toastr — CS2 Stats

US76561197979256779[U:1:18991051]Steam profile ↗✓ No bans

835Tracked matches55%Win rate2023Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating12,051Blue band · top ~44% of ranked players (population est.)
FaceitLevel 4 · 882 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (2 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: 12,051 +2,702 11 Jun – 11 Oct · 12 days played
9,24512,910peak 12,91011 Jun11 Oct
Faceit ELO: 882 +0 12 Sept – 22 Sept · 2 observations
882882peak 88212 Sept22 Sept
12,910Peak Premier in tracked matches
882Highest Faceit ELO seen on CSDB
54Days played since 2026-06-08

Faceit ELO

  • At peak — 882
  • Next: Level 4 at 901 — 19 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-12
  • Level 2 first seen 2026-09-12

Premier CS Rating

  • 859 below peak (12,910)
  • -681 over 30 days · declining
  • +1,948 over 90 days
  • Next: Purple band at 15,000 — 2,949 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGintergalactic_toastrFACEITLevel 4 · 882 ELOSTANDINGTop 81.0% of rankedPREMIER12,051 · Blue bandPEAK ELO882csdb.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

Aim60
Positioning43
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLLWWWLTLWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.2pp headshot accuracy · −88ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 670ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 626ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 670ms

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 (+1.5 against its own average).

Aim6.0
Utility5.1
Positioning4.3
Opening Duels1.9
Clutch3.0

Excellent counter-strafing

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 669ms 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

Aim6.0
Positioning4.3
Utility5.1
Mechanics8.7
Opening Duels3.0
Win Impact6.7

Composite 5.4/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time682ms+17ms
first ⅓ avg 665ms → last ⅓ avg 682ms
Headshot accuracy10.5%−2.9%
first ⅓ avg 13.4% → last ⅓ avg 10.5%

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

0.14Best match rating · 6–2 · ancient, 20 Sept →
22%Best headshot accuracy · 3–13 · mirage, 12 Sept →
500msFastest reaction time · 13–3 · dust2, 21 Aug →
13–1Biggest win · nuke, 17 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 70% over 20dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%0.02
nukeS2014–670%0.02
cacheA1810–856%-0.01
ancientC167–944%0.01
dust2D82–625%-0.02
infernoB84–450%-0.01
anubis—31–233%0.00
overpass—20–20%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

99Matches
51%Win rate
1.06Avg K/D
74.2ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22861%1.1414.3
Mirage2544%1.0213.3
Inferno2030%0.9414.1
Nuke1173%1.2116.8
Ancient633%1.1813.2
Overpass667%0.9512.8
Cache250%0.9415.0
Train1100%0.829.0

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.

11.0%Headshot accuracy
36.6%Accuracy (enemy spotted)
36.3%Spray accuracy
89.3%Counter-strafing
10.7°Preaim
669msReaction time
46.3%T opening success
38.0%CT opening success
0.52Enemies flashed / flash
9.8%Flash assists
6.33HE damage / grenade
9.89Flashes / 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 10.9674% — 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 37.9801% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0212%11 Oct →
ancient2–13-0.0213%11 Oct →
mirage13–90.1113%10 Oct →
mirage13–60.0710%9 Oct →
mirage13–9-0.0313%8 Oct →
anubis8–13-0.0311%5 Oct →
cache12–12-0.049%4 Oct →
ancient11–13-0.0815%2 Oct →
mirage13–60.037%25 Sept →
nuke13–60.0110%24 Sept →
dust22–13-0.057%20 Sept →
dust21–13-0.1013%20 Sept →
ancient6–20.148%20 Sept →
dust24–13-0.0516%14 Sept →
mirage13–4-0.0210%13 Sept →
inferno13–90.0615%12 Sept →
mirage3–130.0122%12 Sept →
mirage13–90.0417%10 Sept →
inferno13–30.017%3 Sept →
cache13–9-0.0610%3 Sept →
ancient4–130.006%25 Aug →
dust213–3-0.0216%21 Aug →
inferno7–13-0.110%21 Aug →
ancient4–13-0.0411%20 Aug →
mirage13–16-0.085%20 Aug →
mirage13–10-0.0514%16 Aug →
nuke13–2-0.0314%15 Aug →
ancient13–10-0.023%15 Aug →
nuke5–00.010%15 Aug →
inferno14–160.0110%13 Aug →
cache13–110.0014%9 Aug →
nuke6–130.007%8 Aug →
nuke13–10-0.049%7 Aug →
mirage13–80.0811%6 Aug →
inferno13–10-0.056%1 Aug →
mirage12–16-0.0113%31 Jul →
mirage6–13-0.068%31 Jul →
ancient13–40.0111%31 Jul →
ancient14–16-0.0111%30 Jul →
ancient11–20.0813%30 Jul →
nuke13–110.0712%30 Jul →
mirage9–13-0.0116%30 Jul →
ancient9–13-0.0615%30 Jul →
cache13–100.0618%29 Jul →
cache4–130.0112%29 Jul →
cache5–13-0.0720%26 Jul →
nuke13–110.049%26 Jul →
cache13–11-0.0321%25 Jul →
dust212–12-0.0217%24 Jul →
cache6–13-0.073%20 Jul →
ancient10–10.1410%20 Jul →
cache12–12-0.0018%19 Jul →
nuke13–10.037%17 Jul →
nuke13–4-0.009%10 Jul →
cache13–10.0410%9 Jul →
mirage6–130.0111%9 Jul →
cache13–60.0419%9 Jul →
anubis12–120.059%9 Jul →
inferno13–9-0.0210%9 Jul →
mirage13–50.0212%5 Jul →
mirage7–00.1211%5 Jul →
nuke13–60.1219%5 Jul →
nuke13–110.038%5 Jul →
ancient10–13-0.029%4 Jul →
cache7–130.009%3 Jul →
cache13–10.0621%3 Jul →
ancient1–13-0.0310%3 Jul →
mirage9–130.0117%2 Jul →
mirage8–130.018%2 Jul →
mirage11–13-0.0111%2 Jul →
mirage13–80.079%2 Jul →
nuke7–130.0515%29 Jun →
inferno9–130.037%28 Jun →
inferno9–13-0.0115%28 Jun →
nuke13–110.019%27 Jun →
cache6–13-0.038%27 Jun →
nuke13–90.0412%27 Jun →
anubis13–6-0.0222%26 Jun →
ancient7–10.0214%25 Jun →
cache13–10-0.018%25 Jun →
dust24–130.0222%25 Jun →
overpass3–13-0.0710%21 Jun →
mirage12–12-0.0012%21 Jun →
nuke5–13-0.036%20 Jun →
nuke15–150.0612%19 Jun →
mirage13–50.1119%19 Jun →
dust213–20.0210%19 Jun →
cache13–10-0.0117%14 Jun →
nuke12–16-0.0418%14 Jun →
cache13–90.0621%13 Jun →
cache6–13-0.069%13 Jun →
overpass5–130.0112%12 Jun →
ancient10–13-0.0320%12 Jun →
ancient13–10.0611%11 Jun →
nuke8–130.0212%11 Jun →
dust212–16-0.0022%11 Jun →
nuke13–110.0712%11 Jun →
nuke13–10.0318%11 Jun →
mirage7–20.0915%11 Jun →
mirage1–13-0.069%8 Jun →

Match data via Leetify.

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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