FraG-mAsTeR

FraG-mAsTeR — CS2 Stats

PL76561197990118894[U:1:29853166]Steam profile ↗

2,360Tracked matches50%Win rate2020Tracked since
7,809Hours in CS40Hrs last 2 wks
CSDB Rating3.8 Learning
Premier CS Rating20,422Pink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#10998 of 28402 tracked
FaceitLevel 7 · 1,350 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate34.4%46.2%47.2%12.7% short
Shot accuracy12.2%12.5%12.3%meets
Kill/death ratio0.991.061.070.09 short
Match win rate41.0%45.9%46.3%5.4% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFraG-mAsTeRFACEITLevel 7 · 1,350 ELOSTANDINGTop 42.3% of rankedPREMIER20,422 · Pink bandcsdb.gg/stats

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Performance scores

Aim33
Positioning47
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY53452Last 10053%Win rateLWWWWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim3.3
Aggression6.3
Utility5.1
Positioning4.7
Opening Duels2.0
Clutch3.4

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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 594ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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
Utility5.1
Mechanics2.3
Opening Duels2.0
Win Impact5.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time611ms+26ms
first ⅓ avg 585ms → last ⅓ avg 611ms
Headshot accuracy16.2%−1.5%
first ⅓ avg 17.6% → last ⅓ avg 16.2%

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

0.10Best rating — ancient 11–13
132Biggest win — nuke
6Longest win streak
65In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 80% over 10ancientWeakest map · 33% over 27
MapGradePlayedRecordWin rateAvg rating
ancientD2791833%-0.01
anubisA1811761%-0.01
dust2C146843%-0.01
cacheA127558%-0.00
infernoA106460%0.00
nukeS108280%0.01
mirageS54180%0.05
train21150%-0.01
vertigo21150%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 27). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

207,488Lifetime kills
0.99K/D
11,775Matches
41.0%Match win rate
34.4%Headshot %
12.2%Shot accuracy
21,974MVPs
4,793Hours (in match)
18,025Bombs planted
3,044Bombs defused

Most-used weapons

AK-4751,116
AWP33,846
P9014,102
MAC-107,978
FAMAS7,383
XM10146,193
Tec-95,965

Lifetime map wins

37,187dust2
22,031inferno
7,652nuke
3,611cbble
2,647train
907vertigo
438office
313lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

835Matches
48%Win rate
1.25Avg K/D
78.9ADR
34%Headshot %

Clutches & streaks

37%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust217447%1.3416.8
Mirage13045%1.3315.4
Inferno11560%1.4617.4
Anubis9046%1.0514.9
Ancient7654%1.1116.2
Nuke5545%1.3515.5
Vertigo2020%0.9012.3
Train922%0.9014.0

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.

15.7%Headshot accuracy
29.5%Accuracy (enemy spotted)
31.6%Spray accuracy
60.6%Counter-strafing
11.7°Preaim
594msReaction time
35.3%T opening success
41.1%CT opening success
0.70Enemies flashed / flash
10.8%Flash assists
6.79HE damage / grenade
2.27Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.2718 — below the 4 mark we flag

    Grenade Lineups
  2. 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 35.2821% — 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.

33% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–130.0111%29 Aug
dust213–90.0215%29 Aug
inferno13–70.0119%29 Aug
cache13–9-0.0218%29 Aug
cache13–50.0217%29 Aug
anubis13–9-0.0314%27 Aug
ancient2–60.0719%25 Aug
cache13–10-0.0319%24 Aug
inferno10–130.0317%24 Aug
dust210–13-0.077%21 Aug
dust213–8-0.0230%21 Aug
anubis7–13-0.0116%21 Aug
dust216–14-0.0316%20 Aug
nuke13–20.0217%20 Aug
dust27–13-0.036%19 Aug
ancient6–13-0.0919%19 Aug
inferno6–13-0.077%18 Aug
dust26–13-0.0014%16 Aug
ancient11–130.109%15 Aug
anubis13–8-0.0414%15 Aug
cache13–3-0.0018%15 Aug
train13–2-0.089%15 Aug
train6–130.0516%15 Aug
anubis6–13-0.0824%14 Aug
dust213–7-0.0528%14 Aug
nuke5–13-0.1012%13 Aug
anubis13–60.0118%13 Aug
ancient11–130.0210%10 Aug
ancient4–130.0318%9 Aug
anubis13–50.0419%9 Aug
anubis13–8-0.0215%9 Aug
nuke13–100.0417%9 Aug
ancient3–13-0.0825%9 Aug
nuke13–40.0321%9 Aug
ancient13–70.1022%7 Aug
nuke13–70.0113%7 Aug
dust213–160.0214%7 Aug
cache5–13-0.0623%7 Aug
ancient7–13-0.0111%7 Aug
cache15–150.0320%7 Aug
ancient1–13-0.067%7 Aug
inferno13–4-0.0121%7 Aug
ancient13–110.0619%7 Aug
anubis2–13-0.0213%6 Aug
anubis16–120.0929%6 Aug
inferno2–13-0.0321%6 Aug
ancient13–80.0323%6 Aug
mirage13–50.0917%6 Aug
anubis16–130.0117%6 Aug
mirage13–30.0227%6 Aug
ancient5–13-0.0616%5 Aug
cache13–9-0.0220%5 Aug
ancient16–13-0.0520%5 Aug
mirage16–120.0710%5 Aug
anubis13–80.0814%3 Aug
dust216–130.0519%3 Aug
ancient13–100.0616%3 Aug
ancient10–130.0016%2 Aug
ancient15–15-0.0416%2 Aug
anubis6–13-0.0210%2 Aug
ancient3–13-0.109%2 Aug
nuke13–100.0815%2 Aug
ancient13–7-0.0311%1 Aug
nuke9–13-0.0322%1 Aug
ancient13–9-0.056%1 Aug
inferno16–140.0123%1 Aug
cache13–160.0916%1 Aug
anubis13–16-0.0112%31 Jul
inferno13–9-0.0116%31 Jul
ancient13–40.0017%31 Jul
vertigo13–110.0423%30 Jul
vertigo6–130.0112%30 Jul
dust24–13-0.0713%29 Jul
dust23–130.0128%29 Jul
nuke16–140.0116%28 Jul
anubis8–13-0.0819%28 Jul
anubis13–50.0626%27 Jul
cache10–130.0117%26 Jul
mirage8–130.0418%26 Jul
ancient11–13-0.0312%26 Jul
inferno13–60.0426%26 Jul
anubis9–13-0.0213%26 Jul
cache13–40.0125%26 Jul
nuke13–60.0518%26 Jul
inferno13–60.0117%26 Jul
ancient4–13-0.095%26 Jul
dust27–13-0.0119%26 Jul
dust214–16-0.0212%25 Jul
ancient8–130.0216%25 Jul
dust213–90.0422%25 Jul
cache13–60.0315%25 Jul
nuke13–7-0.0225%25 Jul
mirage13–110.0527%25 Jul
anubis13–6-0.039%25 Jul
inferno11–130.0117%25 Jul
ancient13–5-0.0113%25 Jul
anubis13–9-0.0412%25 Jul
ancient12–16-0.0218%25 Jul
cache0–13-0.0729%25 Jul
ancient12–160.0317%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 →