Flashlight Toad

Flashlight Toad — CS2 Stats

76561198083167001[U:1:122901273]Steam profile ↗✓ No bans

527Tracked matches69%Win rate2020Tracked since
CSDB Rating6.8 SolidAll-Rounder
Premier CS Rating17,421Purple band · top ~18.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (15 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: 17,421 -8 2 Sept – 10 Oct · 7 days played
16,67618,434peak 18,4342 Sept10 Oct
18,434Peak Premier in tracked matches
40Days played since 2026-04-16

Premier CS Rating

  • 1,013 below peak (18,434)
  • -1,013 over 30 days · declining
  • Next: Pink band at 20,000 — 2,579 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

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

Share this profile

CSDB.GGFlashlight ToadPREMIER17,421 · Purple bandcsdb.gg/stats

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Performance scores

Aim78
Positioning53
Utility57

0–100 skill scores via Leetify.

Recent form

HOT61–35–4Last 10061%Win rateWLWWWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +0.9pp headshot accuracy · −32ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 530ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 530ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 546ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.8
Utility5.7
Positioning5.3
Opening Duels4.3
Clutch6.0

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 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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. 550ms 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

Aim7.8
Positioning5.3
Utility5.7
Mechanics7.6
Opening Duels4.0
Win Impact10.0

Composite 6.8/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time559ms−50ms
first ⅓ avg 609ms → last ⅓ avg 559ms
Headshot accuracy15.8%−0.3%
first ⅓ avg 16.2% → 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

0.12Best match rating · 13–2 · cache, 29 Apr →
50%Best headshot accuracy · 2–13 · cache, 8 Aug →
406msFastest reaction time · 1–6 · inferno, 20 Sept →
13–0Biggest win · inferno, 16 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 72% over 18anubisWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2616–1062%0.01
cacheS1813–572%0.01
mirageS1813–572%-0.01
ancientA117–464%-0.00
anubisB84–450%-0.01
dust2—41–325%-0.02
overpass—41–325%-0.01
nuke—43–175%0.00
office—31–233%-0.05
vertigo—20–20%-0.01
train—11–0100%-0.03
warden—11–0100%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
60%Win rate
0.98Avg K/D
83.9ADR
52%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust210%1.0016.0
Mirage1100%1.0015.0

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.

15.9%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.2%Spray accuracy
84.2%Counter-strafing
7.5°Preaim
550msReaction time
47.0%T opening success
44.7%CT opening success
0.48Enemies flashed / flash
4.4%Flash assists
6.91HE damage / grenade
15.47Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4824 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.1116%25 Oct →
inferno11–130.0411%25 Oct →
inferno13–5-0.036%24 Oct →
ancient13–7-0.0513%24 Oct →
mirage13–7-0.0520%24 Oct →
inferno5–13-0.0218%16 Oct →
mirage13–7-0.0426%16 Oct →
mirage13–80.0324%10 Oct →
mirage16–14-0.0017%10 Oct →
cache13–10.066%7 Oct →
inferno8–13-0.0118%7 Oct →
mirage16–12-0.0515%5 Oct →
inferno5–13-0.0114%5 Oct →
dust29–13-0.0520%5 Oct →
mirage13–60.0318%23 Sept →
ancient13–4-0.0214%23 Sept →
vertigo3–5-0.030%23 Sept →
inferno13–90.0424%23 Sept →
anubis13–20.0521%22 Sept →
anubis12–12-0.055%21 Sept →
inferno13–90.0413%20 Sept →
inferno1–6-0.0725%20 Sept →
mirage6–13-0.078%20 Sept →
overpass13–100.0520%19 Sept →
mirage13–4-0.0616%19 Sept →
inferno13–100.0220%19 Sept →
ancient8–13-0.0114%14 Sept →
inferno13–30.0514%8 Sept →
mirage13–80.0225%8 Sept →
ancient13–100.0311%8 Sept →
cache16–14-0.0714%6 Sept →
cache5–130.0222%6 Sept →
inferno13–90.0016%4 Sept →
inferno13–10-0.059%4 Sept →
anubis9–13-0.0119%2 Sept →
mirage10–130.0314%2 Sept →
anubis13–6-0.107%2 Sept →
mirage13–110.1222%1 Sept →
office7–13-0.0518%1 Sept →
cache13–30.0431%1 Sept →
inferno12–00.0917%1 Sept →
nuke13–6-0.0114%28 Aug →
cache10–13-0.1237%28 Aug →
ancient6–13-0.0127%28 Aug →
ancient13–30.0311%22 Aug →
inferno13–11-0.0513%22 Aug →
cache13–8-0.0130%22 Aug →
cache13–8-0.0811%17 Aug →
mirage13–10-0.0219%17 Aug →
anubis13–80.015%16 Aug →
inferno13–00.1134%16 Aug →
mirage5–13-0.0620%15 Aug →
inferno8–13-0.0023%15 Aug →
mirage13–110.0316%8 Aug →
cache2–13-0.1050%8 Aug →
inferno13–90.0015%26 Jul →
inferno16–14-0.0410%26 Jul →
cache13–60.0713%26 Jul →
ancient1–13-0.067%26 Jul →
mirage13–10-0.0015%26 Jul →
mirage5–13-0.0723%26 Jul →
nuke13–5-0.0229%25 Jul →
anubis6–13-0.1020%17 Jul →
vertigo12–120.018%17 Jul →
nuke13–100.0426%17 Jul →
inferno5–13-0.0333%17 Jul →
ancient13–50.0022%17 Jul →
ancient13–70.0517%3 Jul →
inferno7–130.0424%3 Jul →
inferno13–10.0710%3 Jul →
dust21–13-0.065%3 Jul →
dust28–13-0.097%2 Jul →
office6–13-0.110%2 Jul →
cache11–13-0.0524%2 Jul →
office13–5-0.0017%29 Jun →
mirage13–10-0.029%29 Jun →
ancient7–130.0111%29 Jun →
train13–7-0.0320%28 Jun →
cache13–60.0723%28 Jun →
inferno13–10-0.0120%22 Jun →
inferno13–60.0827%22 Jun →
anubis13–110.0121%20 Jun →
mirage12–12-0.0214%20 Jun →
inferno3–13-0.0515%20 Jun →
overpass7–13-0.0610%20 Jun →
cache13–8-0.0214%18 May →
ancient13–80.0116%18 May →
cache6–130.005%5 May →
inferno13–4-0.0226%5 May →
cache13–11-0.0234%1 May →
inferno9–130.0114%30 Apr →
cache13–80.0015%30 Apr →
cache13–80.1013%29 Apr →
cache13–20.1236%29 Apr →
anubis12–120.0716%20 Apr →
overpass11–130.0614%20 Apr →
warden13–30.036%20 Apr →
dust213–50.1216%17 Apr →
overpass5–13-0.0714%16 Apr →
nuke9–13-0.0124%16 Apr →

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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