OnlyFrags

OnlyFrags — CS2 Stats

NO76561197976990096[U:1:16724368]Steam profile ↗✓ No bans

1,201Tracked matches42%Win rate2023Tracked since
CSDB Rating3.2 LearningPositional Player
WingmanSilver Elite
Ladder ranks via Leetify

Performance scores

Aim32
Positioning33
Utility29

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateTWLTWLLLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +2.4pp headshot accuracy · −105ms reaction

Win rate down 30pp 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 645ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 15%
  • Avg reaction 662ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 714ms

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 (+1.8 against its own average).

Aim3.2
Utility2.9
Positioning3.3
Opening Duels0.0
Clutch0.0

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

ZywOo

Plays most like ZywOo 80% 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. 712ms 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

Aim3.2
Positioning3.3
Utility2.9
Mechanics6.2
Opening Duels0.1
Win Impact2.4

Composite 3.2/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time704ms−13ms
first ⅓ avg 717ms → last ⅓ avg 704ms
Headshot accuracy13.1%−1.3%
first ⅓ avg 14.5% → last ⅓ avg 13.1%

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

0.09Best match rating · 9–6 · nuke, 19 May →
32%Best headshot accuracy · 4–13 · nuke, 10 Aug →
484msFastest reaction time · 4–9 · overpass, 19 May →
13–1Biggest win · anubis, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–11In matches decided by ≤2 rounds
18Overtime games

Map breakdown

anubisBest map · 55% over 11mirageWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
nukeB2612–1446%-0.05
mirageD185–1328%-0.05
infernoB178–947%-0.05
dust2C114–736%-0.05
anubisA116–555%-0.03
overpassD72–529%-0.05
cache_b—42–250%-0.00
cache—31–233%-0.08
ancient—21–150%0.02
train—11–0100%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.62Avg K/D
71.1ADR
52%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.335.0
Ancient10%0.9018.0

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.

13.5%Headshot accuracy
30.5%Accuracy (enemy spotted)
29.9%Spray accuracy
78.1%Counter-strafing
11.9°Preaim
712msReaction time
30.9%T opening success
22.2%CT opening success
0.32Enemies flashed / flash
7.8%Flash assists
5.92HE damage / grenade
2.66Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.4509% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 712.1954ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.3206 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno12–12-0.1121%11 Oct →
mirage13–7-0.0310%11 Oct →
dust27–13-0.0719%25 Sept →
inferno12–12-0.0310%25 Sept →
anubis13–11-0.059%17 Sept →
nuke8–13-0.089%17 Sept →
inferno14–16-0.0310%28 Aug →
mirage11–13-0.0719%17 Aug →
cache10–13-0.107%12 Aug →
nuke4–13-0.1032%10 Aug →
mirage13–11-0.016%1 Aug →
anubis13–1-0.016%1 Aug →
nuke13–16-0.102%1 Aug →
nuke16–14-0.0414%1 Aug →
mirage11–13-0.103%1 Aug →
dust27–13-0.0520%1 Aug →
mirage8–13-0.0614%31 Jul →
nuke13–10-0.1023%30 Jul →
mirage15–150.0317%30 Jul →
inferno13–6-0.0218%4 Jun →
dust213–70.0118%3 Jun →
mirage12–12-0.078%3 Jun →
dust213–11-0.0210%2 Jun →
anubis6–13-0.0410%1 Jun →
nuke14–16-0.0114%26 May →
cache11–13-0.099%20 May →
overpass4–9-0.060%19 May →
nuke8–8-0.077%19 May →
nuke9–60.0913%19 May →
cache13–8-0.0618%4 May →
nuke6–13-0.0918%3 May →
inferno13–7-0.0324%29 Apr →
anubis13–16-0.0514%27 Apr →
cache_b5–13-0.058%25 Apr →
dust24–13-0.0813%25 Apr →
mirage7–13-0.1015%25 Apr →
inferno13–8-0.0618%25 Apr →
nuke0–13-0.0511%25 Apr →
dust211–13-0.047%25 Apr →
mirage10–13-0.0513%25 Apr →
nuke13–11-0.0118%24 Apr →
inferno8–13-0.066%23 Apr →
overpass14–16-0.037%23 Apr →
mirage13–50.0329%23 Apr →
anubis14–16-0.0712%22 Apr →
dust212–16-0.0914%22 Apr →
mirage13–11-0.0412%22 Apr →
anubis13–2-0.0317%22 Apr →
anubis19–17-0.0319%21 Apr →
nuke8–13-0.0711%21 Apr →
dust23–13-0.1217%20 Apr →
nuke2–13-0.070%19 Apr →
dust213–6-0.0717%19 Apr →
mirage14–16-0.0112%16 Apr →
overpass13–6-0.055%16 Apr →
mirage13–90.0018%15 Apr →
inferno13–9-0.0511%15 Apr →
dust213–40.039%15 Apr →
inferno13–9-0.056%14 Apr →
nuke5–13-0.089%14 Apr →
overpass8–8-0.0614%14 Apr →
anubis11–13-0.0412%13 Apr →
nuke13–4-0.057%13 Apr →
inferno13–11-0.0412%13 Apr →
nuke13–5-0.0417%13 Apr →
nuke13–7-0.130%7 Apr →
inferno4–13-0.0813%6 Apr →
nuke16–14-0.0229%6 Apr →
overpass19–15-0.019%5 Apr →
cache_b13–70.0711%5 Apr →
ancient13–110.016%5 Apr →
nuke13–10-0.0220%5 Apr →
inferno13–10-0.0118%5 Apr →
nuke16–19-0.039%5 Apr →
mirage9–13-0.0411%5 Apr →
anubis13–80.0011%4 Apr →
mirage2–13-0.120%4 Apr →
inferno5–13-0.126%3 Apr →
anubis8–13-0.0412%31 Mar →
nuke2–13-0.1217%31 Mar →
overpass9–13-0.0720%25 Mar →
nuke11–13-0.0810%24 Mar →
inferno9–13-0.0829%17 Mar →
mirage15–15-0.0921%17 Mar →
inferno2–13-0.040%10 Mar →
nuke13–40.0513%10 Mar →
train13–9-0.094%10 Mar →
nuke13–10-0.0118%9 Mar →
nuke13–16-0.0216%28 Feb →
mirage8–13-0.0919%28 Feb →
anubis13–60.0214%28 Feb →
inferno16–13-0.0324%28 Feb →
inferno13–16-0.038%28 Feb →
overpass2–13-0.0725%28 Feb →
nuke13–11-0.0310%28 Feb →
cache_b7–13-0.0417%28 Feb →
dust25–13-0.0418%28 Feb →
mirage6–13-0.0916%28 Feb →
cache_b9–00.0121%27 Feb →
ancient3–130.0315%27 Feb →

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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