Lil Toe

Lil Toe — CS2 Stats

76561198000748476[U:1:40482748]Steam profile ↗✓ No bans

183Tracked matches62%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
Premier CS Rating11,031Blue band · top ~49.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (44 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: 11,031 -1,927 5 Mar – 5 Sept · 47 days played
8,37712,958peak 12,9585 Mar5 Sept
12,958Peak Premier in tracked matches
64Days played since 2026-03-05

Premier CS Rating

  • 1,927 below peak (12,958)
  • +1,160 over 30 days · improving
  • +1,598 over 90 days
  • Next: Purple band at 15,000 — 3,969 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim61
Positioning49
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLLWWLWWLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.6pp headshot accuracy · −6ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 572ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 576ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 579ms

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 (+2.3 against its own average).

Aim6.1
Utility6.2
Positioning4.9
Opening Duels0.7

Effective flashes

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 78% 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

Reaction time. 631ms 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

Aim6.1
Positioning4.9
Utility6.2
Mechanics6.9
Opening Duels0.7
Win Impact9.0

Composite 5.5/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time633ms−65ms
first ⅓ avg 698ms → last ⅓ avg 633ms
Headshot accuracy15.8%+2.3%
first ⅓ avg 13.4% → last ⅓ avg 15.8%

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

0.11Best match rating · 13–6 · ancient, 6 Jul →
35%Best headshot accuracy · 2–13 · dust2, 24 Jul →
453msFastest reaction time · 13–8 · ancient, 15 Aug →
13–1Biggest win · ancient, 22 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 67% over 9mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2610–1638%0.01
ancientA2112–957%0.01
infernoB199–1047%0.01
nukeC114–736%0.01
cacheS96–367%0.04
mirageD93–633%-0.02
overpass—32–167%-0.05
anubis—20–20%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 5 essential Mirage 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.

15.1%Headshot accuracy
36.1%Accuracy (enemy spotted)
35.4%Spray accuracy
81.0%Counter-strafing
10.6°Preaim
631msReaction time
29.7%T opening success
35.7%CT opening success
0.73Enemies flashed / flash
4.6%Flash assists
9.86HE damage / grenade
6.75Flashes / 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. 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 29.7226% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient3–130.0022%5 Sept →
anubis7–130.0010%30 Aug →
inferno13–11-0.0319%30 Aug →
cache16–12-0.0017%20 Aug →
ancient4–13-0.073%19 Aug →
inferno13–60.0111%19 Aug →
dust216–14-0.0316%16 Aug →
mirage10–130.0217%16 Aug →
mirage13–10-0.0118%16 Aug →
cache13–60.038%15 Aug →
ancient13–80.0421%15 Aug →
nuke5–13-0.0121%14 Aug →
cache11–130.058%13 Aug →
inferno5–13-0.0112%13 Aug →
dust213–100.1117%9 Aug →
dust213–8-0.048%8 Aug →
ancient13–11-0.0316%7 Aug →
inferno8–13-0.009%7 Aug →
ancient13–40.0216%6 Aug →
ancient13–50.0319%3 Aug →
inferno13–110.0313%2 Aug →
dust216–130.0530%1 Aug →
inferno15–150.008%1 Aug →
ancient16–140.0017%31 Jul →
inferno11–130.0313%30 Jul →
dust27–13-0.0020%29 Jul →
ancient6–13-0.0714%29 Jul →
dust216–140.0712%26 Jul →
dust213–50.0427%25 Jul →
cache13–70.0011%24 Jul →
dust22–13-0.0735%24 Jul →
cache13–20.1014%23 Jul →
dust210–13-0.0521%23 Jul →
ancient13–10.1115%22 Jul →
mirage13–5-0.0519%19 Jul →
cache9–13-0.009%19 Jul →
dust211–13-0.0127%16 Jul →
cache13–110.0621%16 Jul →
inferno6–13-0.078%15 Jul →
cache13–90.0825%12 Jul →
inferno11–130.0216%11 Jul →
dust211–130.0117%9 Jul →
ancient13–60.1115%6 Jul →
inferno13–60.0520%5 Jul →
inferno13–90.0417%5 Jul →
inferno12–12-0.055%3 Jul →
nuke6–0-0.040%29 Jun →
nuke15–150.0515%20 Jun →
ancient5–13-0.038%20 Jun →
mirage6–13-0.0220%20 Jun →
dust210–13-0.0115%14 Jun →
nuke7–13-0.0218%13 Jun →
inferno16–130.0217%8 Jun →
overpass13–8-0.0413%7 Jun →
ancient13–6-0.0319%7 Jun →
dust24–13-0.039%7 Jun →
ancient9–130.0927%7 Jun →
dust27–13-0.037%6 Jun →
mirage5–13-0.0112%6 Jun →
dust213–90.0216%6 Jun →
inferno13–20.047%28 May →
ancient13–100.0315%27 May →
nuke13–100.0915%26 May →
dust210–130.0721%26 May →
dust23–11-0.0523%26 May →
inferno7–130.0423%25 May →
inferno15–15-0.0115%25 May →
ancient13–60.0317%24 May →
ancient8–13-0.0512%21 May →
inferno15–150.0316%21 May →
dust213–70.0016%20 May →
nuke15–15-0.0214%19 May →
nuke9–13-0.0216%19 May →
overpass2–5-0.1130%19 May →
nuke13–80.0419%17 May →
nuke13–90.0217%14 May →
nuke11–130.0610%13 May →
ancient13–11-0.035%12 May →
dust213–110.036%12 May →
dust210–13-0.0117%11 May →
nuke10–13-0.0413%11 May →
mirage7–13-0.0217%10 May →
ancient2–13-0.048%10 May →
mirage11–13-0.0415%10 May →
ancient13–6-0.0013%10 May →
ancient7–13-0.012%9 May →
dust213–11-0.0015%9 May →
dust27–130.079%6 May →
dust28–130.0218%3 May →
cache5–130.019%2 May →
dust29–130.0321%27 Apr →
inferno13–60.1014%26 Apr →
anubis9–130.029%26 Apr →
dust27–130.040%26 Apr →
inferno13–8-0.0214%25 Apr →
mirage5–0-0.0611%29 Mar →
ancient8–13-0.0020%9 Mar →
dust215–15-0.0013%8 Mar →
overpass13–40.0117%5 Mar →
mirage7–130.049%5 Mar →

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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