Toygrr

Toygrr — CS2 Stats

76561198043863705[U:1:83597977]Steam profile ↗✓ No bans

402Tracked matches61%Win rate2022Tracked since
1,069Hours in CS3Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
Premier CS Rating19,511Top 50% of 213,740 CSDB-tracked playersPurple band · top ~10.4% of ranked players (population est.)
CSDB Leaderboard#93102 of 260211 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (10 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: 19,511 -499 10 May – 28 Oct · 23 days played
18,55521,548peak 21,54810 May28 Oct
21,548Peak Premier in tracked matches
44Days played since 2026-05-10

Premier CS Rating

  • 2,037 below peak (21,548)
  • -918 over 30 days · declining
  • Next: Pink band at 20,000 — 489 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.4%44.4%46.9%5.5% short
Shot accuracy14.6%11.9%13.0%above
Kill/death ratio1.321.031.08above
Match win rate49.0%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGToygrrPREMIER19,511 · Purple bandcsdb.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

Aim79
Positioning79
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY57–37–6Last 10057%Win rateWTLLWWWTWW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · +0.8pp headshot accuracy · +38ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 534ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 548ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 529ms

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 (+1.6 against its own average).

Aim7.9
Utility4.6
Positioning7.9
Opening Duels6.7
Clutch6.0

Strong CT-side opener

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

s1mple

Plays most like s1mple 85% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

CT openings. 72% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 72% on CT to 50% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9
Positioning7.9
Utility4.6
Mechanics5.9
Opening Duels7.5
Win Impact8.6

Composite 7.1/10 (Strong), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time537ms−55ms
first ⅓ avg 592ms → last ⅓ avg 537ms
Headshot accuracy17.7%−1.2%
first ⅓ avg 18.9% → last ⅓ avg 17.7%

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

0.17Best match rating · 12–2 · anubis, 3 Jul →
35%Best headshot accuracy · 13–1 · dust2, 4 Oct →
406msFastest reaction time · 7–13 · ancient, 11 Sept →
13–1Biggest win · dust2, 4 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 83% over 12ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB158–753%0.03
mirageB147–750%0.00
ancientD134–931%0.02
dust2S139–469%0.06
nukeS1210–283%0.06
anubisB115–645%0.05
cacheB84–450%0.01
vertigo—32–167%0.00
train—32–167%0.05
overpass—32–167%0.05
office—21–150%0.05
italy—11–0100%0.01
boulder—11–0100%0.06
fachwerk—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,562Lifetime kills
1.32K/D · Top 10% of Purple band
1,498Matches
49.0%Match win rate · Top 25% of Purple band
41.4%Headshot %
14.6%Shot accuracy · Top 50% of Purple band
3,688MVPs
661Hours (in match)
1,706Bombs planted
363Bombs defused

Most-used weapons

Lifetime map wins

4,955dust2
1,925inferno
886nuke
392office
317train
218vertigo
175cbble
131italy

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

Faceit stats

Combat

14Matches
71%Win rate
1.37Avg K/D
90.0ADR
33%Headshot %

Clutches & streaks

50%1v1 clutch win
43%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage367%0.8817.7
Cache2100%2.6618.0
Inferno1100%2.8823.0
Vertigo1100%1.1219.0
Ancient1100%1.2117.0
Dust21100%1.6725.0

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.

17.5%Headshot accuracy
38.4%Accuracy (enemy spotted)
37.4%Spray accuracy
76.7%Counter-strafing
9.0°Preaim
533msReaction time
49.8%T opening success
72.1%CT opening success
0.51Enemies flashed / flash
5.1%Flash assists
8.00HE damage / grenade
6.34Flashes / match

Recommended for you

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 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–70.0115%28 Oct →
nuke12–12-0.0113%28 Oct →
cache9–13-0.0311%27 Oct →
ancient14–16-0.0122%27 Oct →
nuke13–70.1111%4 Oct →
nuke13–90.0921%4 Oct →
dust213–10.1235%4 Oct →
cache12–12-0.0115%4 Oct →
nuke13–50.0221%26 Sept →
nuke13–60.1719%26 Sept →
anubis8–130.0410%15 Sept →
inferno14–16-0.0322%15 Sept →
ancient13–100.0316%13 Sept →
ancient14–16-0.0725%13 Sept →
mirage5–13-0.0021%13 Sept →
mirage13–100.0015%11 Sept →
ancient7–130.0016%11 Sept →
mirage13–5-0.0413%11 Sept →
ancient14–16-0.0012%7 Sept →
cache13–80.0126%7 Sept →
vertigo13–11-0.0211%6 Sept →
dust213–110.0119%6 Sept →
cache11–130.0419%6 Sept →
anubis13–100.0522%6 Sept →
inferno10–13-0.018%6 Sept →
cache8–13-0.0518%5 Sept →
inferno13–11-0.0412%5 Sept →
ancient16–120.1022%30 Aug →
cache13–30.0323%30 Aug →
nuke13–60.1420%27 Aug →
nuke13–70.0515%25 Aug →
ancient15–15-0.0221%25 Aug →
inferno10–130.0316%25 Aug →
inferno6–10.0628%25 Aug →
anubis4–130.0213%25 Aug →
anubis9–130.0419%23 Aug →
ancient13–60.1112%22 Aug →
anubis13–100.0515%22 Aug →
inferno2–130.027%22 Aug →
inferno5–130.0419%22 Aug →
office13–100.0725%22 Aug →
anubis13–20.1013%22 Aug →
mirage13–3-0.0122%22 Aug →
dust213–40.1327%22 Aug →
italy13–80.0123%20 Aug →
nuke8–130.0521%15 Aug →
inferno10–130.0523%15 Aug →
mirage9–13-0.0531%1 Aug →
boulder13–10.0617%22 Jul →
train12–120.0118%21 Jul →
dust213–30.0624%21 Jul →
inferno10–13-0.0417%21 Jul →
fachwerk13–110.0514%20 Jul →
mirage14–16-0.049%20 Jul →
dust213–7-0.0316%14 Jul →
inferno13–60.0821%6 Jul →
nuke13–50.1013%3 Jul →
anubis12–20.1718%3 Jul →
inferno13–60.0422%28 Jun →
overpass12–120.0517%27 Jun →
inferno13–60.1116%27 Jun →
dust213–80.0719%27 Jun →
nuke13–8-0.0117%27 Jun →
anubis10–13-0.0121%22 Jun →
dust26–130.0525%22 Jun →
overpass13–70.0522%20 Jun →
dust213–10.1622%20 Jun →
train13–11-0.0020%17 Jun →
dust213–100.0931%6 Jun →
inferno13–6-0.0121%4 Jun →
mirage6–13-0.0425%4 Jun →
mirage4–13-0.0124%4 Jun →
train13–30.1524%2 Jun →
office8–130.0328%25 May →
vertigo10–13-0.0218%25 May →
nuke13–70.0215%25 May →
anubis7–13-0.0115%24 May →
anubis13–80.0621%24 May →
mirage13–110.0720%24 May →
ancient11–13-0.0214%23 May →
dust211–13-0.0222%23 May →
dust211–13-0.0124%21 May →
mirage7–130.0218%21 May →
vertigo13–100.0518%19 May →
dust215–150.0110%18 May →
ancient8–13-0.0012%16 May →
inferno13–80.0112%15 May →
mirage13–6-0.0310%15 May →
ancient14–160.0110%15 May →
ancient13–70.0819%14 May →
inferno13–80.0520%14 May →
mirage13–90.0218%14 May →
anubis11–130.0220%13 May →
cache13–90.0420%13 May →
overpass13–70.0613%11 May →
mirage9–130.0417%11 May →
mirage13–60.0815%11 May →
ancient11–130.0316%10 May →
dust213–70.1130%10 May →
cache13–70.0623%10 May →

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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