frog

frog — CS2 Stats

76561198121520748[U:1:161255020]Steam profile ↗✓ No bans

1,118Tracked matches97%Win rate2020Tracked since
CSDB Rating7.7 StrongPositional Player
Premier CS Rating29,417Top 1% of 215,386 CSDB-tracked playersRed band · top ~0.9% of ranked players (population est.)
CSDB Leaderboard#1248 of 261552 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,118 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 29,417 -2,521 23 May – 12 Nov · 23 days played
26,64132,169peak 32,16923 May12 Nov
32,169Peak Premier in tracked matches
43Days played since 2026-05-23

Premier CS Rating

  • 2,752 below peak (32,169)
  • +2,776 over 30 days · improving
  • Next: Gold band at 30,000 — 583 to go
  • Reached: Gold band · Red band · Pink band · Purple band
  • Red band first seen 2026-09-23
  • Pink band first seen 2026-09-23

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

Share this profile

CSDB.GGfrogFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER29,417 · Red bandcsdb.gg/stats

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Performance scores

Aim96
Positioning58
Utility42

0–100 skill scores via Leetify.

Recent form

HOT77–15–8Last 10077%Win rateWWWWWWWWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +3.3pp headshot accuracy · +88ms reaction

Win rate +10pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 519ms

Last 10

  • 10–0 · 100% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 27%
  • Avg reaction 470ms

Last 20

  • 19–1 · 95% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 426ms

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 (+2 against its own average).

Aim9.6
Utility4.2
Positioning5.8
Opening Duels5.3
Clutch0.0

Sharp aimerLimited utility dependence

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

donk

Plays most like donk 86% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Strengths

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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

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

Aim9.6
Positioning5.8
Utility4.2
Mechanics7.1
Opening Duels5.7
Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time452ms−45ms
first ⅓ avg 496ms → last ⅓ avg 452ms
Headshot accuracy25.1%+2.8%
first ⅓ avg 22.3% → last ⅓ avg 25.1%

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

0.43Best match rating · 9–3 · inferno, 24 Aug →
67%Best headshot accuracy · 13–1 · inferno, 24 Oct →
320msFastest reaction time · 13–3 · dust2, 24 Oct →
13–0Biggest win · train, 29 Aug →

Across the last 100 tracked matches.

Highlights

15Longest win streak
W15Current streak
4–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 77% over 26infernoWeakest map · 60% over 10
MapGradePlayedRecordWin rateAvg rating
dust2S3325–876%0.02
mirageS2620–677%0.01
ancientS1310–377%0.03
infernoA106–460%0.05
trainA53–260%0.06
anubis—44–0100%0.03
nuke—44–0100%0.10
cache—44–0100%0.07
overpass—11–0100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (60% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

35Matches
66%Win rate
1.46Avg K/D
112.1ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
75%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21100%2.2329.0
Inferno10%1.8728.0
Anubis1100%1.2421.0

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.

24.9%Headshot accuracy
42.1%Accuracy (enemy spotted)
46.6%Spray accuracy
81.8%Counter-strafing
7.5°Preaim
462msReaction time
50.6%T opening success
55.3%CT opening success
0.42Enemies flashed / flash
10.3%Flash assists
5.79HE damage / grenade
4.23Flashes / 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 0.4214 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10.0314%6 Nov →
anubis13–70.0211%24 Oct →
ancient13–20.1126%24 Oct →
nuke13–20.0320%24 Oct →
dust213–30.0738%24 Oct →
inferno13–10.0867%24 Oct →
mirage8–00.0719%24 Oct →
nuke13–50.1423%23 Oct →
mirage13–6-0.0630%23 Oct →
ancient16–130.0618%23 Oct →
dust213–10.0660%23 Oct →
dust213–20.0831%22 Oct →
anubis13–20.0514%22 Oct →
mirage13–10.1022%22 Oct →
ancient13–40.0028%22 Oct →
mirage0–2-0.110%7 Oct →
ancient13–20.0718%4 Oct →
ancient13–20.038%4 Oct →
inferno13–20.0229%2 Oct →
cache13–80.0422%2 Oct →
dust213–30.0427%10 Sept →
mirage15–15-0.0113%10 Sept →
mirage13–4-0.0644%10 Sept →
inferno13–4-0.0314%4 Sept →
dust213–50.0233%4 Sept →
mirage9–20.0721%4 Sept →
mirage13–60.0224%2 Sept →
dust213–80.0923%29 Aug →
train13–00.1926%29 Aug →
ancient13–90.0124%28 Aug →
cache13–50.0333%28 Aug →
cache13–10.1426%28 Aug →
dust213–3-0.0522%28 Aug →
cache13–90.0829%28 Aug →
dust26–13-0.0026%28 Aug →
ancient7–130.0528%26 Aug →
dust213–30.0638%26 Aug →
train12–120.0522%26 Aug →
inferno9–30.4338%24 Aug →
inferno8–8-0.0511%24 Aug →
inferno7–90.0221%24 Aug →
dust213–70.1045%19 Aug →
train13–30.0221%15 Aug →
dust213–9-0.0426%15 Aug →
dust213–50.1233%13 Aug →
train13–30.0324%13 Aug →
dust213–50.0619%13 Aug →
mirage8–13-0.0218%12 Aug →
dust212–120.0228%12 Aug →
train12–120.0233%12 Aug →
inferno13–80.0831%7 Aug →
dust213–60.0235%7 Aug →
dust210–13-0.0228%7 Aug →
mirage13–60.0122%29 Jul →
ancient13–20.0721%29 Jul →
ancient13–70.0121%22 Jul →
dust211–13-0.0821%22 Jul →
dust213–110.0223%22 Jul →
mirage13–6-0.0533%22 Jul →
mirage13–10.1222%22 Jul →
mirage13–20.009%15 Jul →
mirage13–50.0333%14 Jul →
inferno9–00.0635%13 Jul →
nuke9–40.1635%9 Jul →
inferno8–80.1229%7 Jul →
inferno0–9-0.240%7 Jul →
dust213–9-0.0233%5 Jul →
mirage13–80.0124%1 Jul →
mirage1–0-0.170%1 Jul →
ancient4–13-0.0714%27 Jun →
dust20–13-0.0435%22 Jun →
nuke13–20.086%22 Jun →
ancient13–40.0427%22 Jun →
dust213–7-0.0515%19 Jun →
mirage13–40.0617%19 Jun →
mirage15–150.0121%19 Jun →
mirage13–20.0123%17 Jun →
dust213–10-0.0227%17 Jun →
overpass13–20.1022%17 Jun →
dust213–5-0.0013%14 Jun →
dust23–13-0.0329%14 Jun →
mirage13–20.0422%10 Jun →
dust213–50.0526%9 Jun →
mirage13–00.0224%9 Jun →
dust213–70.0550%8 Jun →
ancient6–13-0.0217%4 Jun →
mirage11–130.025%4 Jun →
anubis13–50.0610%3 Jun →
mirage11–130.0124%3 Jun →
dust27–130.0631%3 Jun →
dust213–110.0029%31 May →
anubis13–20.0017%28 May →
mirage13–8-0.0015%28 May →
dust213–70.0423%28 May →
dust212–120.0538%28 May →
dust213–30.0126%27 May →
dust213–00.0036%27 May →
mirage13–20.0830%24 May →
dust213–20.0417%24 May →
mirage13–11-0.0123%23 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches15-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.