Frosty

Frosty — CS2 Stats

US76561199848490731[U:1:1888225003]Steam profile ↗✓ No bans

910Tracked matches57%Win rate2025Tracked since
1,309Hours in CS20Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating23,104Top 25% of 212,910 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#42373 of 259616 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). 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: 23,104 +1,952 29 Aug – 2 Nov · 26 days played
19,99923,573peak 23,57329 Aug2 Nov
23,573Peak Premier in tracked matches
25Days played since 2026-08-29

Premier CS Rating

  • 469 below peak (23,573)
  • +958 over 30 days · improving
  • Next: Red band at 25,000 — 1,896 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate51.2%46.9%49.3%above
Shot accuracy0.0%13.0%13.4%13.4% short
Kill/death ratio1.491.081.12above
Match win rate56.7%46.7%48.5%above

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

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

Share this profile

CSDB.GGFrostyPREMIER23,104 · Pink bandcsdb.gg/stats

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Performance scores

Aim72
Positioning47
Utility52

0–100 skill scores via Leetify.

Recent form

HOT54–43–3Last 10054%Win rateWWWLWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +3.3pp headshot accuracy · −47ms reaction

Win rate up 40pp 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 16%
  • Avg reaction 505ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 497ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 520ms

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 (+0.9 against its own average).

Aim7.2
Utility5.2
Positioning4.7
Opening Duels3.1

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

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 51% on CT to 29% 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

Aim7.2
Positioning4.7
Utility5.2
Mechanics6.2
Opening Duels2.6
Win Impact7.4

Composite 5.9/10 (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 rating0.02+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time525ms−29ms
first ⅓ avg 554ms → last ⅓ avg 525ms
Headshot accuracy17.9%+1.5%
first ⅓ avg 16.3% → last ⅓ avg 17.9%

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

0.25Best match rating · 9–1 · inferno, 31 Oct →
50%Best headshot accuracy · 13–4 · cache, 5 Oct →
398msFastest reaction time · 6–13 · inferno, 16 Oct →
13–1Biggest win · cache, 26 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
9–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeC187–1139%0.01
dust2B189–950%-0.01
cacheS1712–571%0.02
mirageA1710–759%0.02
infernoC135–838%0.05
ancientA95–456%0.02
anubisS86–275%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,990Lifetime kills
1.49K/D · Top 10% of Pink band
1,361Matches
56.7%Match win rate · Top 10% of Pink band
51.2%Headshot % · Top 50% of Pink band
0.0%Shot accuracy
3,182MVPs
464Hours (in match)
1,565Bombs planted
611Bombs defused

Most-used weapons

Lifetime map wins

2,220nuke
1,935dust2
1,752inferno
370vertigo
365train
57office
1ar_shoots

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

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
35.2%Accuracy (enemy spotted)
38.0%Spray accuracy
77.9%Counter-strafing
10.8°Preaim
523msReaction time
28.7%T opening success
50.9%CT opening success
0.54Enemies flashed / flash
3.0%Flash assists
11.15HE damage / grenade
6.50Flashes / 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 28.712% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache16–14-0.0017%2 Nov →
cache13–11-0.0322%2 Nov →
mirage13–9-0.0518%2 Nov →
nuke14–160.0013%2 Nov →
dust213–70.0412%2 Nov →
inferno9–10.2433%31 Oct →
inferno9–10.2526%31 Oct →
dust213–110.0133%30 Oct →
nuke7–13-0.0121%30 Oct →
inferno13–70.0417%29 Oct →
ancient7–13-0.0312%29 Oct →
cache13–7-0.049%29 Oct →
anubis12–16-0.0114%29 Oct →
inferno3–13-0.0714%29 Oct →
ancient7–13-0.0315%29 Oct →
cache13–100.0021%29 Oct →
mirage15–150.0517%29 Oct →
cache13–70.1024%29 Oct →
inferno15–150.0927%26 Oct →
cache13–80.0426%26 Oct →
dust28–130.0227%26 Oct →
dust214–16-0.0415%26 Oct →
cache13–10.0818%26 Oct →
inferno13–70.0817%23 Oct →
nuke9–13-0.047%16 Oct →
cache10–130.068%16 Oct →
mirage13–90.0121%16 Oct →
inferno6–13-0.0110%16 Oct →
nuke13–11-0.0217%14 Oct →
mirage13–11-0.0115%14 Oct →
dust213–40.0725%13 Oct →
ancient11–13-0.0814%13 Oct →
dust24–11-0.004%13 Oct →
dust23–13-0.048%13 Oct →
inferno16–120.0112%12 Oct →
mirage13–30.1416%12 Oct →
ancient13–100.0811%12 Oct →
cache13–16-0.0115%12 Oct →
ancient13–90.0918%12 Oct →
nuke8–13-0.0713%12 Oct →
inferno10–13-0.0117%12 Oct →
ancient13–50.0714%12 Oct →
cache13–50.0918%9 Oct →
dust213–70.0222%9 Oct →
nuke13–80.1125%9 Oct →
anubis13–100.0424%8 Oct →
nuke10–13-0.038%8 Oct →
dust213–9-0.0425%7 Oct →
nuke11–130.1119%7 Oct →
mirage13–11-0.0515%7 Oct →
mirage10–13-0.0113%6 Oct →
nuke3–13-0.0620%6 Oct →
inferno7–13-0.0414%6 Oct →
dust29–13-0.0717%6 Oct →
mirage13–50.0313%5 Oct →
dust22–13-0.0718%5 Oct →
mirage9–13-0.0113%5 Oct →
mirage13–8-0.0013%5 Oct →
cache11–13-0.0415%5 Oct →
nuke13–110.0318%5 Oct →
nuke13–50.0720%5 Oct →
cache13–40.0750%5 Oct →
cache13–90.0220%5 Oct →
mirage4–13-0.0513%5 Oct →
inferno8–130.0215%5 Oct →
nuke15–15-0.0215%4 Oct →
nuke13–10-0.0312%4 Oct →
ancient13–80.029%2 Oct →
dust214–16-0.0211%2 Oct →
dust213–9-0.0415%2 Oct →
cache13–10-0.0324%1 Oct →
cache13–100.0024%1 Oct →
nuke13–40.0223%30 Sept →
dust213–110.0117%29 Sept →
nuke13–110.0119%28 Sept →
anubis13–40.1318%28 Sept →
mirage13–40.1415%28 Sept →
cache3–13-0.019%28 Sept →
anubis13–30.0718%28 Sept →
cache8–13-0.0410%28 Sept →
anubis9–130.017%28 Sept →
anubis13–10-0.0714%28 Sept →
anubis13–90.0711%24 Sept →
nuke11–130.0313%24 Sept →
inferno10–13-0.0013%23 Sept →
nuke11–13-0.0116%23 Sept →
ancient13–100.026%23 Sept →
nuke7–130.0421%23 Sept →
mirage13–10-0.0215%23 Sept →
dust213–9-0.0326%23 Sept →
inferno10–130.0618%23 Sept →
dust216–130.0320%22 Sept →
dust29–13-0.0118%22 Sept →
mirage10–13-0.0120%22 Sept →
mirage13–70.0828%22 Sept →
dust27–13-0.0711%22 Sept →
mirage3–13-0.0518%22 Sept →
anubis13–100.0920%22 Sept →
mirage11–130.0922%21 Sept →
ancient5–130.039%21 Sept →

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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