Fntoad

Fntoad — CS2 Stats

US76561198256417789[U:1:296152061]Steam profile ↗✓ No bans

731Tracked matches25%Win rate2020Tracked since
3,098Hours in CS4Hrs last 2 wks
CSDB Rating3.3 LearningPositional Player
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim37
Positioning35
Utility28

0–100 skill scores via Leetify.

Recent form

COLD36586Last 10036%Win rateLLLLWLLWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +4.9pp headshot accuracy · −81ms 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

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 595ms

Last 20

  • 5141 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 635ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim3.7
Utility2.8
Positioning3.5
Opening Duels1.2

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 83% 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

T-side openings. Opening success drops from 40% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim3.7
Positioning3.5
Utility2.8
Mechanics6.4
Opening Duels1.3
Win Impact0.0

Composite 3.3/10 (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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time645ms−49ms
first ⅓ avg 695ms → last ⅓ avg 645ms
Headshot accuracy11.9%−0.8%
first ⅓ avg 12.6% → last ⅓ avg 11.9%

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

0.13Best match rating · 13–7 · nuke, 8 Mar
35%Best headshot accuracy · 13–11 · nuke, 8 Apr
484msFastest reaction time · 3–13 · mirage, 10 Sept
13–2Biggest win · overpass, 13 Mar

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
61In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 67% over 6ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D2571828%-0.01
nukeD1861233%0.02
mirageC146843%0.01
cacheC125742%0.02
ancientD82625%-0.00
vertigoA85363%-0.03
overpassS64267%0.02
train4040%-0.04
inferno41325%-0.01
anubis1010%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

595,879Lifetime kills
1.15K/D · Top 25% of tracked players
2,291Matches
43.3%Match win rate
2.2%Headshot %
15.3%Shot accuracy · Top 50% of tracked players
4,971MVPs
793Hours (in match)
1,710Bombs planted
411Bombs defused

Most-used weapons

Lifetime map wins

8,696dust2
1,757inferno
1,219nuke
499vertigo
239train
90lake
65cbble
43stmarc

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

Skill profile

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

12.0%Headshot accuracy
28.5%Accuracy (enemy spotted)
24.2%Spray accuracy
79.0%Counter-strafing
9.4°Preaim
646msReaction time
21.0%T opening success
40.4%CT opening success
0.46Enemies flashed / flash
5.3%Flash assists
8.49HE damage / grenade
2.88Flashes / 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 12.0474% — below the 15% mark we flag

    Aim Training
  2. 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 0.4568 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 20.9756% — 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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0723%10 Sept
mirage3–13-0.0619%10 Sept
mirage9–130.029%8 Sept
anubis8–130.0016%7 Sept
nuke13–70.0411%7 Sept
overpass8–130.0319%7 Sept
ancient5–13-0.019%22 Aug
vertigo13–8-0.0318%22 Aug
dust27–130.0214%18 Aug
mirage2–13-0.0211%8 Aug
ancient8–130.0215%8 Aug
mirage13–7-0.0411%5 Aug
dust23–13-0.0310%5 Aug
ancient9–13-0.018%4 Aug
cache6–13-0.0110%4 Aug
nuke13–100.0512%4 Aug
dust21–13-0.0312%1 Aug
nuke5–13-0.062%1 Aug
overpass13–40.076%1 Aug
ancient12–12-0.0313%31 Jul
dust24–130.0013%31 Jul
nuke12–120.0015%31 Jul
cache13–80.0210%26 Jul
mirage7–130.0315%25 Jul
dust25–13-0.023%25 Jul
train2–11-0.0320%21 Jul
dust24–130.0014%21 Jul
cache0–13-0.0611%27 Jun
vertigo5–13-0.096%27 Jun
dust213–8-0.037%27 Jun
mirage13–40.0910%27 Jun
dust26–13-0.0714%25 Jun
ancient13–8-0.016%25 Jun
nuke1–130.0411%21 Jun
train5–13-0.0713%21 Jun
vertigo3–10-0.133%17 Jun
dust213–70.0425%14 Jun
dust25–13-0.119%14 Jun
train6–13-0.0717%14 Jun
overpass13–7-0.0316%14 Jun
cache3–130.0515%10 Jun
ancient1–130.019%10 Jun
dust27–130.0511%10 Jun
cache13–10-0.046%9 Jun
nuke3–13-0.037%9 Jun
nuke3–13-0.037%7 Jun
dust27–13-0.0122%7 Jun
vertigo13–10-0.0313%6 Jun
nuke2–130.0121%6 Jun
inferno8–130.0210%25 May
mirage13–110.0616%25 May
vertigo13–8-0.0610%24 May
ancient12–12-0.008%24 May
overpass5–13-0.0314%17 May
ancient12–40.0110%10 May
cache2–13-0.054%10 May
cache13–70.1211%10 May
vertigo2–130.039%10 May
cache13–11-0.0314%30 Apr
cache3–130.0426%30 Apr
cache7–130.0717%30 Apr
cache13–60.059%29 Apr
cache12–120.039%29 Apr
dust27–130.0211%27 Apr
dust213–90.0416%26 Apr
inferno5–13-0.0816%26 Apr
dust212–120.0412%26 Apr
mirage10–130.0715%26 Apr
dust213–110.0416%14 Apr
mirage12–120.008%12 Apr
dust22–13-0.0616%12 Apr
dust25–130.0513%9 Apr
dust24–13-0.0722%8 Apr
nuke13–11-0.0135%8 Apr
mirage13–90.0211%28 Mar
vertigo13–7-0.028%23 Mar
nuke13–110.0612%23 Mar
mirage3–130.0212%18 Mar
overpass13–30.0917%17 Mar
mirage13–100.015%16 Mar
overpass13–2-0.0111%13 Mar
train7–13-0.0211%13 Mar
inferno10–130.0110%8 Mar
nuke13–70.137%8 Mar
nuke4–130.0223%7 Mar
dust210–130.0216%7 Mar
vertigo13–60.095%7 Mar
nuke8–130.029%5 Mar
inferno13–60.0114%4 Mar
nuke8–13-0.0510%2 Mar
nuke1–13-0.0111%2 Mar
nuke0–40.0010%2 Mar
dust213–100.1218%2 Mar
mirage6–13-0.0312%2 Mar
dust213–60.0214%28 Feb
nuke13–100.1310%28 Feb
dust22–0-0.050%28 Feb
nuke11–130.049%26 Feb
mirage13–100.0314%26 Feb
dust210–13-0.0411%25 Feb

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 →