Tiny ♥

Tiny ♥ — CS2 Stats

76561198048651842[U:1:88386114]Steam profile ↗✓ No bans

4,267Tracked matches66%Win rate2020Tracked since
4,762Hours in CS11Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating19,311Top 50% of 209,427 CSDB-tracked playersPurple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#94256 of 256838 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (2 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: 19,311 +1,954 16 Jul – 21 Oct · 26 days played
17,10020,753peak 20,75316 Jul21 Oct
20,968Peak Premier in tracked matches
28Days played since 2026-07-16

Premier CS Rating

  • 1,442 below peak (20,753)
  • +1,661 over 30 days · improving
  • -1,442 over 90 days
  • Next: Pink band at 20,000 — 689 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 Level 8 among CSDB-tracked players (n=15,126), 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 rate34.6%46.8%48.2%13.6% short
Shot accuracy14.6%13.0%13.2%above
Kill/death ratio1.061.061.07meets
Match win rate47.0%46.3%46.9%meets

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

Widest gap: Headshot rate. 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.GGTiny ♥FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,311 · 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

Aim75
Positioning51
Utility50

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateWWWLLLWWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −0.6pp headshot accuracy · −37ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 492ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 471ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 489ms

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 (+0.9 against its own average).

Aim7.5
Utility5.0
Positioning5.1
Opening Duels3.0
Clutch3.8

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

Twistzz

Plays most like Twistzz 97% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.5
Positioning5.1
Utility5.0
Mechanics5.7
Opening Duels3.8
Win Impact10.0

Composite 6.3/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time513ms−46ms
first ⅓ avg 558ms → last ⅓ avg 513ms
Headshot accuracy14.5%+0.8%
first ⅓ avg 13.8% → last ⅓ avg 14.5%

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 · 13–3 · cache, 21 Jul →
30%Best headshot accuracy · 13–11 · mirage, 19 Jul →
359msFastest reaction time · 13–6 · ancient, 18 Oct →
13–1Biggest win · anubis, 6 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
7–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 58% over 19dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%-0.02
infernoA2011–955%-0.01
ancientA1911–858%0.00
nukeA116–555%-0.01
cacheB115–645%-0.01
dust2C104–640%-0.02
anubis—31–233%-0.04
train—11–0100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

136,151Lifetime kills
1.06K/D · Top 50% of Level 8 players
6,911Matches
47.0%Match win rate · Top 50% of Level 8 players
34.6%Headshot %
14.6%Shot accuracy · Top 50% of Level 8 players
13,893MVPs
2,832Hours (in match)
7,485Bombs planted
1,484Bombs defused

Most-used weapons

Lifetime map wins

13,976inferno
12,277dust2
4,765nuke
1,688train
989vertigo
388cbble
382office
86lake

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

Faceit stats

Combat

1,375Matches
50%Win rate
0.87Avg K/D
73.1ADR
32%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage10445%0.9513.6
Ancient7559%0.9413.5
Inferno7257%0.8712.6
Dust26256%0.8312.9
Anubis6253%0.9814.8
Nuke4945%0.9014.4
Train1974%0.9014.1
Overpass1164%0.7411.1

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.

15.5%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.8%Spray accuracy
75.7%Counter-strafing
9.5°Preaim
497msReaction time
48.3%T opening success
42.1%CT opening success
0.45Enemies flashed / flash
4.9%Flash assists
7.67HE damage / grenade
7.78Flashes / 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 0.4502 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.0518%21 Oct →
mirage13–90.0013%21 Oct →
mirage16–140.0110%21 Oct →
mirage4–13-0.0117%21 Oct →
mirage10–13-0.0211%19 Oct →
inferno5–13-0.0610%18 Oct →
inferno13–9-0.0414%18 Oct →
dust213–7-0.0614%18 Oct →
ancient13–90.0120%18 Oct →
dust213–9-0.0315%18 Oct →
inferno16–13-0.0319%18 Oct →
ancient13–60.0022%18 Oct →
mirage10–13-0.0917%18 Oct →
ancient9–130.0611%26 Sept →
nuke1–13-0.110%26 Sept →
cache8–13-0.0620%26 Sept →
inferno13–90.0211%16 Sept →
inferno13–8-0.019%14 Sept →
mirage12–120.0120%14 Sept →
train13–60.0719%14 Sept →
nuke13–40.028%14 Sept →
inferno11–13-0.0012%14 Sept →
inferno13–110.0124%2 Sept →
ancient13–50.0720%2 Sept →
dust216–13-0.0617%2 Sept →
mirage11–13-0.0517%18 Aug →
dust28–13-0.0019%18 Aug →
mirage13–60.0214%10 Aug →
ancient13–100.0115%9 Aug →
mirage19–170.0317%7 Aug →
mirage10–13-0.038%6 Aug →
dust21–13-0.0916%6 Aug →
cache11–13-0.033%6 Aug →
inferno2–13-0.1020%6 Aug →
anubis13–1-0.0318%6 Aug →
inferno13–10-0.0311%5 Aug →
mirage13–6-0.1013%4 Aug →
ancient8–13-0.0115%4 Aug →
cache7–13-0.0619%3 Aug →
mirage10–13-0.1026%3 Aug →
cache2–13-0.029%3 Aug →
mirage3–13-0.077%3 Aug →
mirage3–00.0125%3 Aug →
dust213–30.0113%3 Aug →
ancient13–70.0217%3 Aug →
nuke1–13-0.055%3 Aug →
dust22–13-0.0821%1 Aug →
cache13–60.0518%31 Jul →
ancient13–90.0511%31 Jul →
inferno13–9-0.0116%31 Jul →
nuke7–130.0510%31 Jul →
ancient13–10-0.0111%29 Jul →
mirage13–7-0.0515%29 Jul →
inferno9–130.0016%29 Jul →
dust29–130.0918%29 Jul →
ancient8–13-0.107%27 Jul →
inferno13–1-0.0010%27 Jul →
mirage8–13-0.0314%27 Jul →
inferno9–13-0.0428%27 Jul →
cache13–3-0.0013%27 Jul →
mirage13–80.0229%27 Jul →
cache14–160.0010%26 Jul →
ancient11–130.0013%26 Jul →
mirage13–16-0.013%26 Jul →
dust29–130.0223%25 Jul →
mirage7–130.0113%25 Jul →
inferno5–13-0.058%23 Jul →
ancient7–130.018%23 Jul →
nuke13–6-0.0019%23 Jul →
nuke13–7-0.017%23 Jul →
mirage13–8-0.0929%22 Jul →
inferno13–70.014%22 Jul →
cache13–3-0.0120%22 Jul →
ancient11–130.0114%22 Jul →
mirage15–150.0212%21 Jul →
ancient9–13-0.089%21 Jul →
cache13–30.1227%21 Jul →
nuke13–110.0013%21 Jul →
inferno7–130.0620%21 Jul →
ancient7–130.0210%21 Jul →
ancient13–8-0.025%20 Jul →
mirage13–10-0.018%20 Jul →
inferno3–13-0.079%20 Jul →
inferno13–30.0711%19 Jul →
nuke15–150.0213%19 Jul →
ancient13–50.0318%19 Jul →
ancient13–7-0.0410%19 Jul →
mirage13–10-0.0427%19 Jul →
mirage13–11-0.0530%19 Jul →
anubis10–13-0.0215%17 Jul →
nuke9–13-0.077%17 Jul →
inferno10–130.0910%17 Jul →
mirage13–80.0915%17 Jul →
cache8–13-0.0413%17 Jul →
dust212–12-0.0316%17 Jul →
nuke13–50.0311%17 Jul →
inferno13–11-0.0020%17 Jul →
anubis7–13-0.077%16 Jul →
cache16–14-0.036%16 Jul →
nuke13–70.069%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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