TwinkleToes

TwinkleToes — CS2 Stats

CA76561199047703554[U:1:1087437826]Steam profile ↗✓ No bans

724Tracked matches57%Win rate2023Tracked since
669Hours in CS
CSDB Rating6.6 SolidSupport
Premier CS Rating21,340Top 50% of 213,542 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#65744 of 260205 tracked
FaceitLevel 8 · 1,484 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (3 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: 21,340 +3,241 21 May – 4 Nov · 18 days played
18,09922,861peak 22,86121 May4 Nov
Faceit ELO: 1,484 +0 24 Sept – 25 Oct · 2 observations
1,4841,484peak 1,48424 Sept25 Oct
22,861Peak Premier in tracked matches
1,484Highest Faceit ELO seen on CSDB
57Days played since 2026-05-17

Faceit ELO

  • At peak — 1,484
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 47 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-24
  • Level 6 first seen 2026-09-24

Premier CS Rating

  • 1,521 below peak (22,861)
  • -70 over 30 days · steady
  • Next: Red band at 25,000 — 3,660 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-25
  • Purple band first seen 2026-10-25

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate62.6%46.8%48.2%above
Shot accuracy0.3%13.0%13.2%12.9% short
Kill/death ratio1.551.061.07above
Match win rate50.0%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTwinkleToesFACEITLevel 8 · 1,484 ELOSTANDINGTop 31.2% of rankedPREMIER21,340 · Pink band30 DAYS0 ELOPEAK ELO1,484csdb.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

Aim80
Positioning62
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateWLLLWWLLWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +1.9pp headshot accuracy · +56ms 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 25%
  • Avg reaction 614ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 589ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 561ms

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 (+2.1 against its own average).

Aim8.0
Utility6.7
Positioning6.2
Opening Duels2.9
Clutch2.8

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 87% playstyle similarity

Most alike: opening-duel success, 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. 565ms 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

Aim8.0
Positioning6.2
Utility6.7
Mechanics4.6
Opening Duels3.9
Win Impact7.2

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time567ms−64ms
first ⅓ avg 631ms → last ⅓ avg 567ms
Headshot accuracy26.6%−2.6%
first ⅓ avg 29.2% → last ⅓ avg 26.6%

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

0.18Best match rating · 13–2 · ancient, 18 May →
55%Best headshot accuracy · 9–13 · anubis, 30 Jun →
391msFastest reaction time · 3–13 · anubis, 15 Oct →
13–0Biggest win · mirage, 14 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–14In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 80% over 5cacheWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
ancientB2311–1248%0.01
mirageS2115–671%0.01
anubisB209–1145%-0.00
cacheC125–742%-0.02
dust2B105–550%0.01
infernoS75–271%0.01
nukeS54–180%-0.00
office—11–0100%0.04
poseidon—10–10%0.07

Across the last 100 tracked matches.

Lifetime stats

36,021Lifetime kills
1.55K/D · Top 5% of Level 8 players
1,036Matches
50.0%Match win rate · Top 25% of Level 8 players
62.6%Headshot % · Top 5% of Level 8 players
0.3%Shot accuracy
3,496MVPs
669Hours (in match)
1,167Bombs planted
892Bombs defused

Most-used weapons

AK-4716,143
AWP5,782
MP9530
Knife285

Lifetime map wins

1,461dust2
1,358nuke
1,263inferno
479vertigo
409train
31office
25cbble

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

Faceit stats

Combat

327Matches
50%Win rate
1.13Avg K/D
78.1ADR
55%Headshot %

Clutches & streaks

34%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage9152%1.1516.2
Ancient7760%1.1816.4
Anubis4854%1.2118.6
Dust24529%1.0114.8
Nuke2861%1.0916.0
Inferno1747%1.0016.2
Cache825%0.7211.0
Vertigo771%1.4318.9

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.

26.0%Headshot accuracy
36.9%Accuracy (enemy spotted)
40.3%Spray accuracy
70.5%Counter-strafing
9.5°Preaim
565msReaction time
43.5%T opening success
48.1%CT opening success
0.62Enemies flashed / flash
7.7%Flash assists
6.89HE damage / grenade
20.18Flashes / match

Recommended for you

Spend your practice time on Cache

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0324%6 Nov →
inferno11–130.0216%4 Nov →
anubis6–130.0029%4 Nov →
mirage14–16-0.0127%4 Nov →
inferno13–10-0.0629%3 Nov →
ancient13–110.0132%3 Nov →
ancient9–130.0429%23 Oct →
dust214–160.0234%22 Oct →
ancient16–130.0324%22 Oct →
cache13–90.0331%21 Oct →
cache13–9-0.0130%21 Oct →
inferno13–30.1620%18 Oct →
ancient11–13-0.0530%18 Oct →
ancient11–13-0.0114%15 Oct →
ancient13–6-0.0127%15 Oct →
anubis3–13-0.0728%15 Oct →
ancient13–8-0.0030%15 Oct →
dust24–130.0025%15 Oct →
mirage13–00.0938%14 Oct →
anubis17–19-0.0214%11 Oct →
cache13–9-0.0434%11 Oct →
ancient9–130.0624%10 Oct →
ancient8–13-0.0722%9 Oct →
anubis13–50.0728%8 Oct →
mirage13–00.1043%6 Oct →
mirage13–80.0222%3 Oct →
cache10–130.0320%3 Oct →
anubis13–80.0322%2 Oct →
ancient13–50.0221%1 Oct →
cache13–11-0.0630%29 Sept →
mirage13–50.0731%29 Sept →
cache7–13-0.0519%29 Sept →
nuke13–90.0231%22 Sept →
mirage6–130.0138%22 Sept →
ancient13–40.1338%16 Sept →
anubis10–13-0.0219%16 Sept →
dust211–130.0529%13 Sept →
cache14–160.0032%12 Sept →
cache13–11-0.0127%12 Sept →
anubis13–90.0419%12 Sept →
ancient8–130.0444%10 Sept →
ancient13–100.0137%6 Sept →
mirage13–50.0324%5 Sept →
mirage6–130.0129%28 Aug →
anubis17–190.0322%27 Aug →
ancient8–13-0.0122%20 Aug →
anubis11–130.0125%17 Aug →
mirage13–10-0.0722%14 Aug →
mirage13–60.0222%12 Aug →
dust27–130.0337%12 Aug →
mirage13–40.0029%9 Aug →
mirage9–13-0.079%8 Aug →
ancient8–130.0319%8 Aug →
mirage10–130.0117%8 Aug →
anubis13–7-0.0730%8 Aug →
ancient10–13-0.0718%8 Aug →
inferno8–13-0.0027%8 Aug →
mirage8–13-0.0511%8 Aug →
mirage13–100.0624%7 Aug →
ancient13–90.0935%7 Aug →
dust213–3-0.048%6 Aug →
anubis13–60.0020%4 Aug →
mirage13–11-0.0440%31 Jul →
cache7–13-0.0416%30 Jul →
ancient9–13-0.0222%23 Jul →
inferno13–10-0.0422%23 Jul →
cache4–13-0.0738%23 Jul →
nuke13–70.0020%13 Jul →
mirage13–11-0.0248%9 Jul →
ancient13–8-0.0041%9 Jul →
nuke13–5-0.0724%7 Jul →
anubis13–110.0144%1 Jul →
anubis14–16-0.0217%1 Jul →
anubis10–13-0.0440%1 Jul →
anubis9–13-0.0255%30 Jun →
ancient11–130.0429%23 Jun →
dust213–90.0533%23 Jun →
nuke6–130.0231%23 Jun →
ancient15–15-0.0029%22 Jun →
dust216–13-0.0030%21 Jun →
anubis7–13-0.0831%21 Jun →
anubis13–90.0115%15 Jun →
cache10–130.0229%14 Jun →
office13–90.0422%14 Jun →
mirage13–7-0.0220%11 Jun →
anubis13–80.0333%11 Jun →
anubis13–100.0319%4 Jun →
dust210–13-0.0128%4 Jun →
mirage13–11-0.0435%4 Jun →
ancient13–11-0.0828%4 Jun →
cache8–130.0020%4 Jun →
inferno13–110.0233%26 May →
mirage13–80.0526%25 May →
dust213–60.0317%25 May →
nuke13–90.0023%22 May →
dust213–8-0.0438%21 May →
mirage16–140.0838%21 May →
ancient13–20.1830%18 May →
anubis11–13-0.0121%17 May →
poseidon7–90.0717%17 May →

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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