Johnywaffel ❤︎P

Johnywaffel ❤︎P — CS2 Stats

76561198066324440[U:1:106058712]Steam profile ↗✓ No bans

940Tracked matches69%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

+34Tracked matches · now 940
+15.6ppWin rate · 53.3% → 69.0%

Rating over time

31Days played since 2026-08-08

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGJohnywaffel ❤︎PFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning55
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLLWTLWWWWW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −4.7pp headshot accuracy · −63ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 427ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 473ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 504ms

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 (+1.1 against its own average).

Aim7.3
Utility5.2
Positioning5.5
Opening Duels2.9
Clutch4.0

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

iM

Plays most like iM 93% 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 →

CSDB Rating breakdown

Aim7.3
Positioning5.5
Utility5.2
Mechanics6.4
Opening Duels3.0
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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time521ms+1ms
first ⅓ avg 519ms → last ⅓ avg 521ms
Headshot accuracy19.1%−2.7%
first ⅓ avg 21.8% → last ⅓ avg 19.1%

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

0.23Best match rating · 9–3 · inferno, 14 Aug →
42%Best headshot accuracy · 4–13 · ancient, 11 Aug →
281msFastest reaction time · 3–13 · inferno, 22 Aug →
13–0Biggest win · cache, 22 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
7–13In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 67% over 33ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoS3322–1167%0.01
cacheB189–950%-0.00
mirageB189–950%-0.01
ancientC125–742%-0.01
nukeA85–363%-0.00
train—42–250%-0.01
anubis—31–233%0.02
dust2—31–233%-0.01
office—10–10%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,334Matches
53%Win rate
1.04Avg K/D
72.3ADR
49%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient9056%0.9713.8
Inferno7959%0.9914.4
Anubis5443%0.9514.7
Mirage4445%0.8913.8
Nuke4154%0.9515.2
Cache3250%1.3412.6
Dust22654%0.8612.3
Overpass1547%0.9615.1

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.

19.6%Headshot accuracy
33.4%Accuracy (enemy spotted)
40.7%Spray accuracy
78.7%Counter-strafing
10.9°Preaim
529msReaction time
36.6%T opening success
47.6%CT opening success
0.59Enemies flashed / flash
3.9%Flash assists
9.20HE damage / grenade
5.47Flashes / 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 36.6105% — below the 40% mark we flag

Spend your practice time on Ancient

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–160.0219%9 Oct →
inferno10–130.039%6 Oct →
cache13–90.0322%6 Oct →
dust21–10.030%4 Oct →
inferno8–13-0.0021%4 Oct →
cache13–3-0.0218%29 Sept →
mirage13–110.0218%29 Sept →
inferno13–80.0024%27 Sept →
nuke13–90.0220%27 Sept →
cache16–14-0.008%26 Sept →
mirage16–14-0.0312%26 Sept →
mirage8–13-0.0538%25 Sept →
inferno13–50.0517%25 Sept →
inferno11–130.0122%22 Sept →
cache13–40.0218%22 Sept →
dust213–8-0.0219%20 Sept →
inferno13–5-0.0414%20 Sept →
cache12–16-0.0318%18 Sept →
inferno16–120.0126%18 Sept →
ancient13–8-0.0123%18 Sept →
mirage13–7-0.0217%8 Sept →
nuke13–5-0.0230%8 Sept →
inferno17–190.0025%6 Sept →
cache13–4-0.0515%6 Sept →
inferno13–11-0.0328%6 Sept →
inferno13–70.0821%6 Sept →
mirage7–13-0.0525%6 Sept →
ancient5–13-0.0119%3 Sept →
ancient13–9-0.077%3 Sept →
nuke13–70.0015%1 Sept →
mirage14–16-0.0417%1 Sept →
ancient13–8-0.0123%1 Sept →
mirage13–100.0420%1 Sept →
mirage13–16-0.0023%1 Sept →
inferno9–13-0.0426%31 Aug →
inferno13–11-0.0123%31 Aug →
cache11–13-0.0222%31 Aug →
ancient11–130.0818%31 Aug →
anubis13–50.0821%29 Aug →
inferno16–13-0.0130%28 Aug →
cache10–13-0.0133%28 Aug →
nuke13–8-0.0030%28 Aug →
ancient13–40.0819%25 Aug →
inferno13–30.0431%25 Aug →
nuke14–16-0.0126%23 Aug →
inferno13–10-0.0315%23 Aug →
dust211–13-0.0322%23 Aug →
mirage11–13-0.0429%23 Aug →
inferno10–130.019%23 Aug →
mirage8–13-0.0227%23 Aug →
inferno3–13-0.0838%22 Aug →
cache13–00.0819%22 Aug →
mirage13–6-0.0116%22 Aug →
cache14–16-0.0219%22 Aug →
mirage13–10-0.0523%22 Aug →
inferno13–8-0.0229%21 Aug →
ancient9–13-0.0024%21 Aug →
ancient10–13-0.0419%18 Aug →
mirage10–13-0.0415%18 Aug →
cache11–13-0.0814%18 Aug →
cache8–13-0.0616%18 Aug →
train8–13-0.0721%18 Aug →
ancient7–13-0.0312%17 Aug →
inferno7–13-0.0536%17 Aug →
cache12–120.1136%17 Aug →
train13–30.0026%17 Aug →
inferno13–60.0223%16 Aug →
office11–130.0540%16 Aug →
cache13–110.0317%16 Aug →
cache13–100.0417%16 Aug →
ancient7–13-0.0315%16 Aug →
mirage10–50.0722%15 Aug →
cache14–160.0214%14 Aug →
mirage3–13-0.0514%14 Aug →
inferno13–50.0922%14 Aug →
inferno13–5-0.0631%14 Aug →
mirage13–20.0529%14 Aug →
inferno9–30.2328%14 Aug →
train13–60.0525%14 Aug →
nuke13–40.0126%14 Aug →
inferno13–100.0625%13 Aug →
inferno8–13-0.0514%13 Aug →
nuke4–13-0.0125%13 Aug →
inferno11–130.0218%13 Aug →
inferno9–20.0221%13 Aug →
ancient13–6-0.0316%12 Aug →
train12–12-0.0117%12 Aug →
inferno13–11-0.0118%11 Aug →
ancient4–13-0.0542%11 Aug →
nuke9–13-0.0129%11 Aug →
inferno13–16-0.0519%9 Aug →
inferno13–20.1314%9 Aug →
mirage13–30.0334%9 Aug →
anubis2–13-0.0418%9 Aug →
inferno13–50.028%9 Aug →
inferno13–100.0323%9 Aug →
inferno13–9-0.0424%9 Aug →
mirage3–13-0.089%9 Aug →
cache13–6-0.0221%8 Aug →
cache6–13-0.0429%8 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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