InfiniteToast

InfiniteToast — CS2 Stats

76561198140881473[U:1:180615745]Steam profile ↗✓ No bans

168Tracked matches57%Win rate2023Tracked since
CSDB Rating4.4 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim49
Positioning47
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY53–38–9Last 10053%Win rateLWLWLLLWWW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −3.2pp headshot accuracy · +7ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 569ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 563ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 560ms

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 (+1.8 against its own average).

Aim4.9
Utility3.6
Positioning4.7
Opening Duels0.5

Strong T-side openerLimited 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 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

Aim4.9
Positioning4.7
Utility3.6
Mechanics4.1
Opening Duels0.9
Win Impact7.4

Composite 4.4/10 (Developing), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time546ms−31ms
first ⅓ avg 577ms → last ⅓ avg 546ms
Headshot accuracy14.7%−0.2%
first ⅓ avg 15.0% → last ⅓ avg 14.7%

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

0.11Best match rating · 13–4 · cache, 13 Jul →
28%Best headshot accuracy · 13–11 · mirage, 26 Jul →
391msFastest reaction time · 7–13 · anubis, 11 Jul →
13–0Biggest win · anubis, 9 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 67% over 12ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.02
cacheA1810–856%0.02
infernoS1711–665%0.01
ancientD165–1131%-0.02
anubisC146–843%-0.01
nukeS128–467%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.3%Headshot accuracy
30.5%Accuracy (enemy spotted)
27.9%Spray accuracy
68.7%Counter-strafing
9.1°Preaim
542msReaction time
37.3%T opening success
24.1%CT opening success
0.51Enemies flashed / flash
7.0%Flash assists
9.44HE damage / grenade
3.10Flashes / 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 14.2825% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0967 — below the 4 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 37.2917% — below the 40% mark we flag

Spend your practice time on Ancient

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0114%10 Sept →
inferno13–50.039%10 Sept →
cache7–13-0.0213%9 Sept →
nuke13–30.0817%9 Sept →
mirage10–13-0.0622%9 Sept →
ancient9–13-0.076%8 Sept →
mirage4–6-0.0321%8 Sept →
ancient13–70.0313%7 Sept →
mirage13–8-0.0110%2 Sept →
ancient13–6-0.0113%2 Sept →
nuke8–130.0227%2 Sept →
anubis5–130.0518%30 Aug →
nuke12–12-0.0522%30 Aug →
nuke13–20.0720%29 Aug →
mirage13–90.046%29 Aug →
cache13–40.0827%29 Aug →
nuke13–70.0913%27 Aug →
inferno13–110.0415%24 Aug →
cache13–70.0712%24 Aug →
mirage13–90.0211%22 Aug →
ancient5–13-0.019%22 Aug →
cache13–110.0213%22 Aug →
anubis9–13-0.0120%22 Aug →
nuke13–9-0.0210%22 Aug →
mirage6–13-0.0316%21 Aug →
nuke13–8-0.0313%21 Aug →
mirage1–13-0.0313%20 Aug →
inferno7–13-0.018%20 Aug →
anubis13–7-0.0212%20 Aug →
ancient12–12-0.0512%17 Aug →
cache13–10-0.0120%17 Aug →
mirage13–100.0311%17 Aug →
nuke8–13-0.0321%17 Aug →
mirage13–9-0.0014%14 Aug →
ancient11–13-0.0416%14 Aug →
anubis13–60.0210%14 Aug →
inferno10–130.0113%9 Aug →
anubis13–0-0.0123%9 Aug →
mirage7–13-0.0711%9 Aug →
cache13–20.0917%9 Aug →
mirage9–13-0.0517%8 Aug →
inferno13–7-0.0521%8 Aug →
anubis12–12-0.0114%6 Aug →
ancient13–7-0.005%6 Aug →
nuke6–10.0315%6 Aug →
inferno13–70.0115%6 Aug →
mirage10–13-0.047%6 Aug →
cache10–13-0.0617%6 Aug →
mirage11–13-0.038%5 Aug →
nuke13–7-0.0510%3 Aug →
cache13–100.056%3 Aug →
inferno9–13-0.019%3 Aug →
mirage13–5-0.0320%2 Aug →
cache13–110.0616%2 Aug →
anubis12–120.0011%2 Aug →
mirage10–13-0.1211%28 Jul →
ancient12–12-0.035%28 Jul →
nuke4–13-0.0615%28 Jul →
ancient4–13-0.0417%28 Jul →
mirage13–70.0822%28 Jul →
anubis7–13-0.036%28 Jul →
anubis13–110.0416%27 Jul →
ancient13–90.0714%27 Jul →
mirage13–8-0.038%27 Jul →
inferno13–20.0418%27 Jul →
cache12–120.0327%27 Jul →
cache12–120.0017%26 Jul →
inferno13–60.0226%26 Jul →
mirage13–11-0.0328%26 Jul →
anubis13–60.0218%26 Jul →
inferno5–13-0.0324%25 Jul →
cache12–12-0.0419%25 Jul →
mirage13–110.0015%23 Jul →
anubis13–5-0.0322%23 Jul →
ancient8–13-0.0418%23 Jul →
cache7–13-0.0419%23 Jul →
cache13–40.0611%22 Jul →
anubis8–13-0.0310%19 Jul →
inferno13–8-0.0111%19 Jul →
cache13–6-0.0223%18 Jul →
inferno13–11-0.0118%18 Jul →
anubis8–13-0.0512%14 Jul →
ancient13–30.0822%13 Jul →
cache13–40.1116%13 Jul →
cache7–13-0.0119%13 Jul →
inferno13–30.057%12 Jul →
mirage13–50.026%12 Jul →
anubis7–13-0.059%11 Jul →
nuke13–100.0813%11 Jul →
mirage13–9-0.0118%9 Jul →
inferno13–40.048%9 Jul →
mirage8–130.0010%8 Jul →
ancient9–130.026%8 Jul →
inferno5–130.0117%8 Jul →
mirage13–60.0210%7 Jul →
ancient3–13-0.0710%7 Jul →
ancient6–13-0.044%6 Jul →
inferno11–00.064%2 Jul →
ancient12–12-0.0724%1 Jul →
inferno5–13-0.0515%30 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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