Fizz

Fizz — CS2 Stats

NO76561198149020024[U:1:188754296]Steam profile ↗✓ No bans

1,023Tracked matches48%Win rate2023Tracked since
CSDB Rating3.5 LearningPositional Player
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+24Tracked matches · now 1,023
+12.0ppWin rate · 36.0% → 48.0%

Rating over time

22Days played since 2026-07-25

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

Performance scores

Aim33
Positioning47
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY38–49–13Last 10038%Win rateWWLWWWTWLT

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −2.1pp headshot accuracy · −2ms 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 -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 663ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 659ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 661ms

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).

Aim3.3
Utility2.4
Positioning4.7
Opening Duels1.0

Limited 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

jL

Plays most like jL 77% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 634ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.3
Positioning4.7
Utility2.4
Mechanics3.6
Opening Duels2.0
Win Impact4.3

Composite 3.5/10 (Learning), 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-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time653ms−13ms
first ⅓ avg 666ms → last ⅓ avg 653ms
Headshot accuracy14.1%−3.4%
first ⅓ avg 17.5% → last ⅓ avg 14.1%

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

0.05Best match rating · 13–11 · vertigo, 23 Aug →
37%Best headshot accuracy · 11–13 · cache, 25 Jul →
438msFastest reaction time · 2–13 · anubis, 23 Aug →
13–3Biggest win · boulder, 13 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
2–6In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 60% over 5officeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheD175–1229%-0.05
anubisD165–1131%-0.05
vertigoB147–750%-0.03
nukeA116–555%-0.05
trainD82–625%-0.04
shelterD62–433%-0.03
officeD61–517%-0.07
mirageC52–340%-0.03
ancientC52–340%-0.04
overpassA53–260%-0.05
boulder—43–175%-0.06
dust2—20–20%-0.06
inferno—10–10%-0.07

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.4%Headshot accuracy
26.8%Accuracy (enemy spotted)
22.9%Spray accuracy
66.4%Counter-strafing
8.3°Preaim
634msReaction time
40.4%T opening success
35.5%CT opening success
0.30Enemies flashed / flash
1.9%Flash assists
8.76HE damage / grenade
4.59Flashes / 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 0.3017 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.4937% — below the 40% mark we flag

Spend your practice time on Train

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo13–10-0.068%26 Sept →
vertigo13–7-0.0311%26 Sept →
shelter3–13-0.046%26 Sept →
nuke13–9-0.0315%25 Sept →
train13–9-0.077%25 Sept →
boulder13–9-0.1114%25 Sept →
vertigo12–12-0.0633%25 Sept →
vertigo13–50.028%25 Sept →
train0–8-0.090%25 Sept →
shelter12–12-0.0716%25 Sept →
anubis5–13-0.0714%20 Sept →
nuke13–6-0.0412%20 Sept →
anubis9–13-0.0610%20 Sept →
cache12–12-0.0812%20 Sept →
cache4–13-0.114%20 Sept →
anubis12–12-0.0613%19 Sept →
anubis1–13-0.0814%19 Sept →
anubis9–13-0.0535%19 Sept →
boulder3–13-0.0614%13 Sept →
boulder13–30.0111%13 Sept →
nuke7–130.0430%13 Sept →
cache13–60.0219%13 Sept →
anubis13–9-0.0322%13 Sept →
nuke12–12-0.0713%13 Sept →
anubis13–4-0.1412%12 Sept →
dust29–13-0.0723%12 Sept →
office7–13-0.0313%12 Sept →
cache8–13-0.0615%12 Sept →
shelter13–60.0124%11 Sept →
anubis6–13-0.0117%11 Sept →
cache9–13-0.087%11 Sept →
anubis10–5-0.070%11 Sept →
office13–7-0.0614%4 Sept →
office6–13-0.0923%4 Sept →
office9–13-0.0917%4 Sept →
office0–11-0.0713%4 Sept →
anubis10–130.0017%30 Aug →
anubis13–3-0.0210%30 Aug →
cache6–13-0.0527%30 Aug →
mirage12–120.0217%30 Aug →
ancient4–13-0.0613%30 Aug →
ancient13–6-0.0126%29 Aug →
anubis10–13-0.0111%29 Aug →
anubis13–10-0.107%29 Aug →
ancient13–4-0.0620%29 Aug →
anubis12–12-0.0620%29 Aug →
inferno11–13-0.0712%29 Aug →
cache12–12-0.0626%29 Aug →
cache8–13-0.0314%29 Aug →
cache10–13-0.0420%23 Aug →
vertigo13–110.0514%23 Aug →
nuke9–7-0.0713%23 Aug →
vertigo9–3-0.0310%23 Aug →
cache12–12-0.0528%23 Aug →
anubis2–13-0.0614%23 Aug →
mirage2–13-0.0821%21 Aug →
mirage13–8-0.0319%21 Aug →
overpass13–40.0121%21 Aug →
shelter4–13-0.098%21 Aug →
mirage7–13-0.0520%20 Aug →
cache13–10-0.0326%20 Aug →
boulder6–1-0.0831%19 Aug →
shelter13–80.0212%19 Aug →
shelter11–13-0.0235%19 Aug →
cache13–90.0027%19 Aug →
vertigo0–12-0.070%19 Aug →
mirage13–10-0.0024%16 Aug →
ancient9–13-0.0414%16 Aug →
overpass3–9-0.1311%15 Aug →
train13–40.025%14 Aug →
train11–13-0.0533%14 Aug →
train7–13-0.0126%8 Aug →
overpass13–80.0226%8 Aug →
cache13–10-0.029%7 Aug →
dust212–12-0.0515%7 Aug →
overpass7–13-0.0622%7 Aug →
cache8–13-0.0533%7 Aug →
nuke13–10-0.0011%7 Aug →
overpass13–9-0.0718%7 Aug →
nuke13–3-0.0313%7 Aug →
cache13–4-0.088%7 Aug →
nuke8–13-0.1212%7 Aug →
train7–13-0.0621%7 Aug →
nuke13–5-0.0320%7 Aug →
ancient12–12-0.0416%4 Aug →
vertigo13–4-0.0017%4 Aug →
vertigo8–13-0.0921%4 Aug →
vertigo5–13-0.038%4 Aug →
nuke0–13-0.0818%4 Aug →
vertigo10–13-0.0324%4 Aug →
vertigo13–100.0118%4 Aug →
vertigo11–13-0.1010%4 Aug →
office11–13-0.0814%26 Jul →
train12–12-0.0619%26 Jul →
cache6–13-0.099%26 Jul →
train6–13-0.0319%26 Jul →
vertigo1–13-0.0617%26 Jul →
cache11–130.0137%25 Jul →
nuke8–13-0.0917%25 Jul →
anubis12–12-0.0417%25 Jul →

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 →

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