DJ Sadfrog

DJ Sadfrog — CS2 Stats

NO76561198298047807[U:1:337782079]Steam profile ↗✓ No bans

1,311Tracked matches50%Win rate2020Tracked since
3,509Hours in CS3Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,311
+7.1ppWin rate · 42.9% → 50.0%

Rating over time

Premier CS Rating: 20,413 -1,716 19 Nov – 16 May · 18 days played
18,73722,629peak 22,62919 Nov16 May
22,629Peak Premier in tracked matches
34Days played since 2025-11-19

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 9 among CSDB-tracked players (n=14,654), 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 9 medianLevel 10 medianvs Level 10
Headshot rate49.2%48.2%50.9%1.7% short
Shot accuracy15.7%13.2%13.7%above
Kill/death ratio0.941.071.090.15 short
Match win rate44.3%46.9%48.4%4.1% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDJ SadfrogFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim51
Positioning44
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWLWWLLWLWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −5.5pp headshot accuracy · −103ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 505ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 521ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 573ms

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 (+2.7 against its own average).

Aim5.1
Utility6.6
Positioning4.4
Opening Duels0.4
Clutch4.2

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 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim 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. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning4.4
Utility6.6
Mechanics4.1
Opening Duels0.5
Win Impact5.0

Composite 4.6/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time598ms−58ms
first ⅓ avg 656ms → last ⅓ avg 598ms
Headshot accuracy19.9%+3.1%
first ⅓ avg 16.8% → last ⅓ avg 19.9%

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

0.11Best match rating · 13–9 · mirage, 9 May →
55%Best headshot accuracy · 13–4 · mirage, 3 Sept →
391msFastest reaction time · 4–13 · anubis, 5 May →
13–1Biggest win · mirage, 3 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
8–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 63% over 8cacheWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB4220–2248%-0.01
anubisB179–853%0.00
ancientA1710–759%-0.00
overpassA85–363%-0.02
cacheC52–340%-0.02
infernoA53–260%-0.02
nuke—42–250%0.02
dust2—20–20%-0.01

Across the last 100 tracked matches.

Lifetime stats

83,314Lifetime kills
0.94K/D
4,370Matches
44.3%Match win rate
49.2%Headshot % · Top 50% of Level 9 players
15.7%Shot accuracy · Top 50% of Level 9 players
10,722MVPs
2,072Hours (in match)
6,153Bombs planted
1,345Bombs defused

Most-used weapons

AK-4732,172
AWP3,002
P2502,211
FAMAS2,000
MAC-101,716

Lifetime map wins

6,000inferno
2,301dust2
682nuke
626train
599vertigo
523cbble
226lake
216office

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

Faceit stats

Combat

543Matches
52%Win rate
1.05Avg K/D
67.2ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6658%1.0114.4
Anubis3358%1.0214.1
Ancient1844%0.8212.2
Inferno862%0.9313.0
Dust2367%1.1213.7
Overpass20%0.649.5
Vertigo20%1.0012.5
Train250%1.0416.0

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.

20.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
34.9%Spray accuracy
68.6%Counter-strafing
11.4°Preaim
591msReaction time
34.1%T opening success
27.4%CT opening success
0.57Enemies flashed / flash
6.8%Flash assists
12.14HE damage / grenade
14.69Flashes / 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 34.115% — below the 40% mark we flag

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–60.1120%14 Oct →
anubis6–130.0618%14 Oct →
mirage13–40.0218%14 Oct →
anubis13–100.0619%14 Oct →
ancient11–13-0.0117%13 Oct →
anubis11–13-0.0418%7 Sept →
mirage13–100.0514%7 Sept →
ancient10–130.0020%7 Sept →
mirage13–6-0.008%7 Sept →
mirage11–130.0115%3 Sept →
cache15–150.0414%3 Sept →
mirage13–1-0.037%3 Sept →
mirage13–4-0.0255%3 Sept →
mirage10–13-0.0215%31 Aug →
anubis10–130.0123%31 Aug →
mirage16–12-0.0314%24 Aug →
ancient13–70.0231%24 Aug →
mirage15–15-0.0123%24 Aug →
cache11–13-0.0223%20 Aug →
cache6–13-0.0817%7 Jul →
mirage9–13-0.0422%16 May →
nuke7–130.0224%16 May →
overpass10–13-0.0615%15 May →
ancient13–70.007%15 May →
ancient13–110.0621%15 May →
ancient10–13-0.0118%15 May →
mirage5–13-0.0227%10 May →
mirage13–90.1127%10 May →
cache13–11-0.0129%10 May →
mirage13–90.1128%9 May →
ancient9–13-0.0410%5 May →
mirage5–13-0.0519%5 May →
mirage13–70.0421%5 May →
anubis4–13-0.099%5 May →
mirage10–13-0.0215%4 May →
anubis16–120.0223%4 May →
cache13–6-0.0324%3 May →
mirage11–130.0015%1 May →
mirage13–40.0244%1 May →
nuke15–150.0225%19 Apr →
anubis13–8-0.0215%19 Apr →
nuke13–30.0116%19 Apr →
dust211–13-0.0528%17 Apr →
anubis7–13-0.0227%17 Apr →
mirage10–13-0.0818%10 Apr →
anubis9–13-0.0432%10 Apr →
ancient13–50.0417%10 Apr →
mirage14–16-0.0425%19 Mar →
anubis2–13-0.1022%19 Mar →
ancient13–5-0.0024%16 Mar →
mirage10–130.0224%16 Mar →
overpass13–11-0.007%16 Mar →
mirage13–90.0110%7 Mar →
overpass13–11-0.0214%7 Mar →
mirage13–8-0.0019%7 Mar →
ancient13–60.0717%7 Mar →
mirage16–140.0321%6 Mar →
mirage13–6-0.0310%6 Mar →
nuke13–100.0317%6 Mar →
inferno9–50.0916%6 Mar →
mirage10–13-0.0417%5 Mar →
overpass2–13-0.0538%5 Mar →
mirage4–13-0.0314%13 Feb →
ancient16–13-0.0222%13 Feb →
overpass13–2-0.039%13 Feb →
ancient13–9-0.0121%13 Feb →
anubis13–100.0215%13 Feb →
mirage12–16-0.0112%12 Feb →
mirage13–6-0.0315%12 Feb →
ancient13–90.0211%12 Feb →
anubis13–7-0.0629%12 Feb →
mirage15–15-0.0413%12 Feb →
ancient13–60.0514%12 Feb →
anubis9–130.0118%12 Feb →
mirage13–30.0520%5 Feb →
overpass13–10-0.0015%5 Feb →
mirage9–13-0.0518%2 Feb →
anubis13–50.0531%2 Feb →
mirage13–11-0.0114%2 Feb →
mirage4–13-0.0513%2 Feb →
inferno3–13-0.0329%2 Feb →
ancient8–13-0.057%2 Feb →
anubis13–110.0422%30 Jan →
dust29–130.0220%30 Jan →
ancient10–13-0.0611%30 Jan →
mirage13–90.0316%30 Jan →
inferno13–90.0214%18 Jan →
mirage10–13-0.0314%17 Jan →
mirage5–13-0.0715%17 Jan →
mirage8–130.0135%17 Jan →
mirage0–13-0.050%17 Jan →
anubis13–11-0.0115%16 Jan →
overpass15–15-0.0519%27 Nov →
mirage13–3-0.0013%27 Nov →
inferno1–13-0.0811%27 Nov →
mirage13–30.0213%27 Nov →
ancient5–13-0.0713%27 Nov →
mirage7–130.0418%19 Nov →
inferno13–5-0.0923%19 Nov →
overpass13–90.0223%19 Nov →

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 →

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