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Fragget

Fragget — CS2 Stats

76561198038993315[U:1:78727587]Steam profile ↗✓ No bans

510Tracked matches30%Win rate2023Tracked since
CSDB Rating2.6 Learning
Ladder ranks via Leetify

Performance scores

Aim30
Positioning36
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY45–45–10Last 10045%Win rateLWTWTWLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim3.0
Aggression2.3
Utility1.8
Positioning3.6
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 705ms 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

Aim3.0
Positioning3.6
Utility1.8
Mechanics4.7
Opening Duels0.0
Win Impact0.0

Composite 2.6/10 (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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time690ms−83ms
first ⅓ avg 774ms → last ⅓ avg 690ms
Headshot accuracy11.4%+1.3%
first ⅓ avg 10.1% → last ⅓ avg 11.4%

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.

Highlights

0.08Best rating — dust2 13–3
13–2Biggest win — vertigo
6Longest win streak
6–9In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 66% over 29ancientWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoS2919–1066%-0.04
dust2A2313–1057%-0.03
nukeC114–736%-0.05
vertigoD82–625%-0.04
mirageC83–538%-0.07
ancientD60–60%-0.05
anubisA53–260%-0.01
cacheD51–420%-0.08
train—30–30%-0.06
overpass—20–20%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

11.5%Headshot accuracy
30.6%Accuracy (enemy spotted)
28.5%Spray accuracy
71.3%Counter-strafing
10.1°Preaim
705msReaction time
18.4%T opening success
30.3%CT opening success
0.34Enemies flashed / flash
2.8%Flash assists
8.75HE damage / grenade
1.11Flashes / 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 11.528% — 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 705.1634ms — 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 0.3379 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0610%24 Aug →
dust213–10-0.114%24 Aug →
cache12–12-0.0317%15 Jul →
cache13–4-0.0837%13 Jun →
nuke12–12-0.056%31 May →
inferno13–5-0.045%31 May →
cache9–13-0.0610%21 May →
vertigo8–130.007%9 May →
anubis13–11-0.063%9 May →
inferno13–10-0.026%9 May →
cache2–13-0.117%9 May →
inferno13–6-0.0323%1 May →
inferno3–0-0.070%1 May →
cache7–13-0.110%1 May →
nuke10–13-0.0413%25 Apr →
inferno12–12-0.0416%19 Apr →
ancient11–13-0.0711%19 Apr →
anubis13–40.0516%19 Apr →
nuke5–13-0.0614%19 Apr →
inferno3–13-0.080%30 Mar →
dust29–13-0.0317%30 Mar →
inferno11–13-0.098%3 Jan →
mirage11–13-0.039%30 Nov →
dust211–130.0119%30 Nov →
inferno10–13-0.0221%18 Sept →
nuke8–13-0.118%9 Sept →
nuke2–13-0.0918%9 Sept →
nuke11–13-0.0822%8 Sept →
ancient11–13-0.093%8 Sept →
inferno7–13-0.029%8 Sept →
dust210–13-0.036%7 Sept →
mirage1–13-0.1011%7 Sept →
dust213–6-0.0519%6 Sept →
inferno11–13-0.0411%11 Jul →
dust213–8-0.0015%11 Jul →
train6–13-0.0413%11 Jul →
inferno13–7-0.046%4 Jul →
ancient3–110.0011%19 Jun →
inferno13–10-0.0417%19 Jun →
dust213–30.0813%19 Jun →
dust213–10-0.0512%17 Jun →
inferno13–10-0.0512%17 Jun →
dust213–5-0.0220%17 Jun →
dust213–7-0.0625%31 May →
mirage3–13-0.0613%31 May →
anubis9–130.0316%31 May →
vertigo7–13-0.1111%14 May →
mirage5–13-0.075%14 May →
dust23–13-0.0414%14 May →
mirage12–12-0.079%10 May →
inferno13–10-0.0114%8 May →
dust24–13-0.0812%8 May →
inferno13–6-0.0711%6 May →
dust28–13-0.032%6 May →
inferno8–13-0.048%4 May →
vertigo12–12-0.054%2 May →
dust212–120.0210%2 May →
inferno12–12-0.0511%26 Apr →
anubis13–10-0.0113%25 Apr →
inferno13–11-0.0714%25 Apr →
dust213–10-0.0613%25 Apr →
vertigo13–8-0.072%25 Apr →
inferno13–5-0.0222%22 Apr →
vertigo13–20.0010%22 Apr →
inferno11–13-0.110%22 Apr →
dust28–13-0.0711%22 Apr →
dust213–8-0.0110%19 Apr →
inferno13–7-0.047%19 Apr →
dust210–13-0.0612%18 Apr →
mirage13–10-0.0815%18 Apr →
dust29–13-0.018%18 Apr →
vertigo11–13-0.024%8 Apr →
inferno10–13-0.0818%8 Apr →
dust213–10-0.0514%8 Apr →
overpass8–13-0.0510%6 Apr →
inferno13–40.0216%6 Apr →
ancient8–13-0.065%6 Apr →
dust27–2-0.0311%6 Apr →
inferno13–9-0.050%5 Apr →
nuke13–110.077%4 Apr →
inferno13–6-0.0215%4 Apr →
overpass12–12-0.096%30 Mar →
inferno13–110.0811%30 Mar →
ancient4–13-0.055%30 Mar →
dust213–70.034%30 Mar →
nuke13–90.0211%30 Mar →
vertigo1–13-0.0620%29 Mar →
nuke9–13-0.067%29 Mar →
mirage13–6-0.0710%28 Mar →
inferno13–110.027%28 Mar →
ancient7–13-0.042%28 Mar →
dust213–9-0.076%28 Mar →
train12–12-0.069%24 Mar →
inferno13–11-0.017%24 Mar →
inferno13–6-0.059%24 Mar →
mirage13–6-0.0619%24 Mar →
nuke13–5-0.0419%24 Mar →
vertigo12–12-0.0213%24 Mar →
nuke13–9-0.0510%21 Mar →
train4–13-0.0717%21 Mar →

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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