♾️ FRAGNATIC

♾️ FRAGNATIC — CS2 Stats

DE76561197963415296[U:1:3149568]Steam profile ↗✓ No bans

1,831Tracked matches38%Win rate2020Tracked since
9,149Hours in CS0Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
CSDB Leaderboard#3781 of 261689 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 27,730 +3,172 1 Sept – 16 Nov · 7 days played
24,55827,730peak 27,7301 Sept16 Nov
27,730Peak Premier in tracked matches
56Days played since 2025-05-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,878), 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 8 medianLevel 9 medianvs Level 9
Headshot rate57.8%46.8%48.2%above
Shot accuracy19.3%13.0%13.2%above
Kill/death ratio0.901.061.070.17 short
Match win rate46.2%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG♾️ FRAGNATICFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning49
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLLWLWLWWLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · −114ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 494ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 502ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

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).

Aim8.0
Utility4.6
Positioning4.9
Opening Duels2.0
Clutch3.6

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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 554ms 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

Aim8.0
Positioning4.9
Utility4.6
Mechanics7.7
Opening Duels1.4
Win Impact1.0

Composite 5.5/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time558ms−16ms
first ⅓ avg 574ms → last ⅓ avg 558ms
Headshot accuracy19.9%−0.3%
first ⅓ avg 20.2% → last ⅓ avg 19.9%

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

0.19Best match rating · 9–13 · inferno, 14 Jun →
33%Best headshot accuracy · 13–4 · dust2, 12 Jun →
383msFastest reaction time · 13–1 · inferno, 21 Sept →
13–0Biggest win · dust2, 23 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
13–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 73% over 15infernoWeakest map · 43% over 23
MapGradePlayedRecordWin rateAvg rating
infernoC2310–1343%0.04
dust2B1910–953%0.03
ancientS1511–473%0.02
overpassA127–558%0.03
nukeS107–370%0.02
mirageB63–350%0.04
vertigo—33–0100%0.02
office—31–233%0.02
cache—21–150%0.00
anubis—20–20%-0.01
train—21–150%0.01
poseidon—10–10%-0.03
italy—11–0100%0.12
agency—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

465,243Lifetime kills
0.90K/D
11,789Matches
46.2%Match win rate
57.8%Headshot % · Top 25% of Level 8 players
19.3%Shot accuracy · Top 5% of Level 8 players
36,764MVPs
8,323Hours (in match)
17,550Bombs planted
2,628Bombs defused

Most-used weapons

AK-47244,928
AWP26,386
Glock-1813,554
P2509,991
FAMAS6,846
SSG 084,503
MP94,494

Lifetime map wins

60,220dust2
21,815inferno
4,166nuke
2,004train
1,648cbble
742vertigo
220office
53lake

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

Faceit stats

Combat

3,459Matches
50%Win rate
1.09Avg K/D
82.8ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust29858%1.1117.1
Inferno8652%1.2617.7
Ancient7637%1.0015.4
Nuke5340%1.0516.6
Mirage4646%0.9915.1
Overpass2945%1.0614.3
Anubis1662%1.0717.4
Train560%1.0618.2

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.

19.7%Headshot accuracy
35.6%Accuracy (enemy spotted)
35.3%Spray accuracy
84.5%Counter-strafing
8.6°Preaim
554msReaction time
29.0%T opening success
41.2%CT opening success
0.44Enemies flashed / flash
1.7%Flash assists
11.21HE damage / grenade
9.81Flashes / 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 0.4421 — below the 0.5 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 29.0115% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.057%27 Sept →
nuke4–130.0425%27 Sept →
vertigo13–2-0.0219%23 Sept →
nuke5–130.0218%31 Aug →
cache13–80.0213%23 Aug →
dust211–13-0.0131%13 Aug →
ancient13–11-0.0618%29 Jul →
dust213–90.0722%29 Jul →
dust23–13-0.0123%26 Jul →
anubis7–13-0.0824%26 Jul →
inferno5–90.0119%4 Jun →
nuke13–50.0116%3 Jun →
inferno9–4-0.0323%27 May →
poseidon2–9-0.0324%22 May →
ancient14–16-0.0317%7 May →
dust213–00.1430%23 Apr →
dust28–13-0.0320%23 Apr →
cache3–13-0.0116%23 Apr →
office8–13-0.0215%23 Jan →
inferno12–120.0920%8 Dec →
mirage8–130.0816%8 Dec →
inferno3–9-0.1818%19 Nov →
inferno13–70.0816%16 Nov →
dust21–130.0123%14 Nov →
nuke13–7-0.0122%31 Oct →
ancient13–80.0918%28 Oct →
dust29–130.0917%28 Oct →
inferno14–160.0119%13 Oct →
mirage10–130.0125%8 Oct →
dust211–13-0.0520%4 Oct →
inferno13–110.0023%4 Oct →
inferno10–130.0522%3 Oct →
inferno9–130.0820%3 Oct →
overpass13–60.1722%30 Sept →
mirage13–7-0.0119%30 Sept →
inferno9–130.0324%21 Sept →
inferno13–10.1417%21 Sept →
dust216–140.0516%21 Sept →
office13–50.0218%18 Sept →
dust213–110.0813%16 Sept →
dust211–130.0923%15 Sept →
ancient11–130.0210%15 Sept →
inferno13–110.0025%14 Sept →
ancient13–20.0519%14 Sept →
ancient13–100.0122%7 Sept →
nuke13–110.0119%7 Sept →
ancient13–10.0918%6 Sept →
inferno13–90.0217%2 Sept →
dust213–100.0018%2 Sept →
inferno9–130.0622%1 Sept →
inferno13–16-0.0421%28 Aug →
inferno11–130.0621%23 Aug →
ancient5–13-0.0110%23 Aug →
dust213–30.1228%22 Aug →
dust216–130.0018%20 Aug →
inferno13–60.0229%20 Aug →
ancient13–60.0719%14 Aug →
train8–13-0.0020%14 Aug →
office8–130.0620%14 Aug →
italy13–40.1223%14 Aug →
vertigo13–30.0528%14 Aug →
nuke13–70.0415%10 Aug →
nuke16–140.0423%10 Aug →
inferno13–7-0.0117%10 Aug →
inferno10–130.0317%10 Aug →
overpass15–150.0318%10 Aug →
ancient13–110.0319%4 Aug →
inferno13–80.1028%4 Aug →
dust213–80.0520%31 Jul →
overpass13–70.0220%31 Jul →
overpass13–70.0224%31 Jul →
overpass16–120.0720%31 Jul →
nuke8–130.0328%30 Jul →
overpass6–13-0.0118%30 Jul →
nuke16–140.0420%30 Jul →
ancient19–17-0.0425%30 Jul →
overpass10–130.0017%27 Jul →
train13–90.0217%27 Jul →
overpass13–11-0.028%23 Jul →
ancient13–40.0111%23 Jul →
overpass11–130.0818%23 Jul →
ancient11–130.0319%23 Jul →
overpass16–14-0.0018%22 Jul →
nuke13–11-0.0215%21 Jul →
overpass4–13-0.017%21 Jul →
overpass13–10.0321%21 Jul →
ancient16–130.0718%21 Jul →
anubis11–130.0526%25 Jun →
vertigo13–60.0119%25 Jun →
dust29–130.0619%24 Jun →
agency12–12-0.0325%20 Jun →
inferno13–90.1421%19 Jun →
inferno9–130.1917%14 Jun →
mirage12–12-0.0220%12 Jun →
dust213–40.0633%12 Jun →
mirage13–70.0725%11 Jun →
ancient13–100.0619%4 Jun →
inferno7–13-0.0418%4 Jun →
mirage13–40.0825%4 Jun →
dust213–10-0.0227%30 May →

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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