dannyjf

dannyjf — CS2 Stats

76561198218995545[U:1:258729817]Steam profile ↗✓ No bans

572Tracked matches50%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
CSDB Leaderboard#36996 of 257584 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 23,553 +60 19 Aug – 18 Jan · 41 days played
22,25426,491peak 26,49119 Aug18 Jan
26,491Peak Premier in tracked matches
53Days played since 2025-08-19

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

Performance scores

Aim64
Positioning48
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateLWLWLWWWTL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.3pp headshot accuracy · −42ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 589ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 578ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 599ms

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 (+1.9 against its own average).

Aim6.4
Utility6.0
Positioning4.8
Opening Duels3.7
Clutch1.8

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 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.4
Positioning4.8
Utility6.0
Mechanics6.3
Opening Duels3.5
Win Impact5.0

Composite 5.6/10 (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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time591ms−35ms
first ⅓ avg 625ms → last ⅓ avg 591ms
Headshot accuracy18.6%−1.2%
first ⅓ avg 19.8% → last ⅓ avg 18.6%

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

0.14Best match rating · 13–6 · dust2, 16 Nov →
67%Best headshot accuracy · 6–2 · overpass, 10 Dec →
422msFastest reaction time · 5–13 · inferno, 16 Jan →
13–1Biggest win · mirage, 29 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
14–6In matches decided by ≤2 rounds
17Overtime games

Map breakdown

overpassBest map · 67% over 21infernoWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
dust2A2615–1158%0.01
infernoD227–1532%-0.00
mirageC229–1341%-0.01
overpassS2114–767%0.01
ancient—40–40%-0.04
train—30–30%-0.01
nuke—21–150%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

518Matches
47%Win rate
1.25Avg K/D
71.8ADR
42%Headshot %

Clutches & streaks

29%1v1 clutch win
33%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%1.0914.0
Dust2425%0.8918.3
Inferno333%1.2015.0
Ancient1100%0.9211.0
Anubis1100%0.9622.0

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.

18.3%Headshot accuracy
32.7%Accuracy (enemy spotted)
41.2%Spray accuracy
78.2%Counter-strafing
11.1°Preaim
600msReaction time
40.2%T opening success
47.9%CT opening success
0.48Enemies flashed / flash
7.1%Flash assists
7.33HE damage / grenade
11.01Flashes / 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 0.4814 — below the 0.5 mark we flag

    Grenade Lineups →
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.

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0211%5 Sept →
overpass13–100.0712%21 Apr →
ancient9–13-0.0616%9 Apr →
inferno13–11-0.008%6 Apr →
inferno6–130.0321%5 Apr →
dust27–20.040%4 Apr →
inferno16–140.0325%4 Apr →
dust216–130.0316%3 Apr →
inferno15–15-0.0127%3 Apr →
mirage7–13-0.0126%14 Feb →
overpass16–14-0.0315%14 Feb →
overpass13–9-0.0219%9 Feb →
mirage8–13-0.0731%18 Jan →
dust24–13-0.0214%16 Jan →
inferno5–130.0213%16 Jan →
dust29–130.0117%16 Jan →
overpass13–9-0.0031%16 Jan →
inferno5–13-0.0715%16 Jan →
dust213–70.0321%13 Jan →
overpass13–100.0318%21 Dec →
ancient2–10-0.0422%17 Dec →
mirage13–16-0.0322%17 Dec →
mirage0–13-0.0617%17 Dec →
overpass13–10-0.0116%17 Dec →
inferno13–40.0517%10 Dec →
overpass6–2-0.0267%10 Dec →
mirage16–130.0617%9 Dec →
dust211–13-0.0712%7 Dec →
nuke15–15-0.0412%4 Dec →
train0–80.017%3 Dec →
inferno3–130.0517%3 Dec →
mirage13–11-0.0217%2 Dec →
ancient9–13-0.0019%30 Nov →
dust28–13-0.0123%30 Nov →
overpass10–130.0111%30 Nov →
mirage13–10.0423%29 Nov →
dust28–13-0.0111%22 Nov →
overpass8–130.0114%22 Nov →
dust213–60.1419%16 Nov →
mirage13–9-0.0215%15 Nov →
mirage8–13-0.0023%13 Nov →
inferno11–13-0.0127%12 Nov →
mirage11–130.0111%12 Nov →
overpass11–130.0516%9 Nov →
overpass4–13-0.0919%24 Oct →
dust213–9-0.0117%24 Oct →
dust22–130.0333%24 Oct →
mirage4–13-0.0316%29 Sept →
dust27–13-0.0221%28 Sept →
dust213–11-0.0217%27 Sept →
dust213–110.0713%27 Sept →
inferno6–13-0.0216%27 Sept →
dust216–130.0421%26 Sept →
overpass13–100.0524%26 Sept →
dust25–13-0.0418%26 Sept →
overpass13–9-0.0117%26 Sept →
train15–15-0.0123%25 Sept →
inferno9–130.009%25 Sept →
overpass13–40.0719%25 Sept →
dust215–15-0.0517%24 Sept →
overpass13–8-0.0414%23 Sept →
dust213–100.0722%15 Sept →
mirage14–16-0.0119%14 Sept →
overpass7–130.0227%14 Sept →
dust211–13-0.0114%14 Sept →
mirage13–8-0.0426%14 Sept →
dust213–11-0.0021%14 Sept →
nuke16–13-0.0510%13 Sept →
train5–13-0.0339%13 Sept →
inferno7–130.0123%13 Sept →
inferno16–120.0115%12 Sept →
mirage10–13-0.0123%12 Sept →
overpass10–130.0413%12 Sept →
ancient2–13-0.054%12 Sept →
overpass13–60.0321%11 Sept →
overpass16–13-0.0221%10 Sept →
mirage15–15-0.0213%10 Sept →
dust216–14-0.0120%10 Sept →
inferno8–13-0.0323%8 Sept →
overpass13–80.0029%7 Sept →
dust216–120.0817%7 Sept →
mirage7–130.0117%6 Sept →
inferno13–11-0.0117%6 Sept →
overpass10–13-0.0218%2 Sept →
mirage13–11-0.0322%29 Aug →
mirage9–130.0117%29 Aug →
inferno3–100.0515%29 Aug →
mirage13–110.0212%25 Aug →
inferno7–130.0116%25 Aug →
mirage13–60.0825%25 Aug →
dust213–110.0618%24 Aug →
inferno13–11-0.0310%23 Aug →
dust213–11-0.0337%23 Aug →
mirage8–130.0218%22 Aug →
inferno6–13-0.0424%22 Aug →
inferno10–130.0129%22 Aug →
mirage13–30.0025%21 Aug →
inferno13–10-0.0131%21 Aug →
dust213–90.0118%21 Aug →
inferno8–13-0.0414%19 Aug →

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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