Fried SPAM™

Fried SPAM™ — CS2 Stats

VA76561199871308348[U:1:1911042620]Steam profile ↗✓ No bans

590Tracked matches54%Win rate2025Tracked since
CSDB Rating4.5 Developing
Premier CS Rating10,777Blue band · top ~50.8% of ranked players (population est.)
CSDB Leaderboard#16648 of 23053 tracked
Ladder ranks via Leetify

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CSDB.GGFried SPAM™PREMIER10,777 · Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning48
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY57412Last 10057%Win rateWWLLLLWWLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.7
Aggression6.9
Utility5.5
Positioning4.8
Opening Duels3.5

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

b1t

Plays most like b1t 84% playstyle similarity

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

Where you differ: lower positioning profile; 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. 615ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.7
Positioning4.8
Utility5.5
Mechanics4.0
Opening Duels3.5
Win Impact6.2

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time613ms−53ms
first ⅓ avg 666ms → last ⅓ avg 613ms
Headshot accuracy17.0%+3.4%
first ⅓ avg 13.7% → last ⅓ avg 17.0%

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

0.13Best rating — nuke 13–5
130Biggest win — nuke
7Longest win streak
W2Current streak
133In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 79% over 28ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeS2822679%0.01
mirageA169756%0.01
ancientD1551033%0.00
cacheA138562%-0.01
dust2B137654%-0.02
anubisC83538%-0.02
inferno42250%-0.00
vertigo1010%-0.03
train1010%-0.03
office110100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). 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.

15.8%Headshot accuracy
32.5%Accuracy (enemy spotted)
31.5%Spray accuracy
68.0%Counter-strafing
9.9°Preaim
615msReaction time
38.6%T opening success
49.8%CT opening success
0.62Enemies flashed / flash
4.9%Flash assists
10.48HE damage / grenade
7.96Flashes / 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. 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 38.6268% — 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 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–4-0.0126%29 Aug
cache13–8-0.015%28 Aug
cache9–130.0210%28 Aug
cache10–13-0.075%28 Aug
cache14–16-0.0320%25 Aug
nuke6–130.0113%25 Aug
mirage13–20.0615%24 Aug
dust213–40.058%24 Aug
nuke8–13-0.0928%23 Aug
mirage13–110.0312%23 Aug
ancient4–13-0.048%23 Aug
mirage5–130.0211%23 Aug
nuke13–110.0413%23 Aug
nuke13–110.0520%23 Aug
ancient15–150.0413%23 Aug
nuke13–40.0016%22 Aug
nuke13–70.0213%22 Aug
nuke12–120.0721%22 Aug
nuke13–0-0.0019%21 Aug
inferno10–130.0111%20 Aug
dust213–7-0.0017%20 Aug
dust28–13-0.0512%20 Aug
mirage13–80.0417%18 Aug
ancient13–110.0312%18 Aug
ancient14–16-0.0211%17 Aug
vertigo1–9-0.0350%17 Aug
train0–8-0.0350%17 Aug
office13–1-0.0121%16 Aug
cache16–14-0.0317%16 Aug
mirage9–13-0.0622%16 Aug
dust213–8-0.0122%16 Aug
nuke13–50.0118%15 Aug
cache16–13-0.015%15 Aug
ancient9–13-0.0211%15 Aug
cache9–13-0.0211%13 Aug
nuke13–70.0124%13 Aug
nuke13–11-0.0320%13 Aug
mirage10–13-0.0423%11 Aug
anubis6–130.0212%11 Aug
dust213–6-0.0510%10 Aug
nuke13–20.0515%10 Aug
nuke16–130.0420%10 Aug
nuke8–130.0617%9 Aug
mirage6–13-0.0514%9 Aug
nuke5–130.0317%9 Aug
mirage13–80.0513%9 Aug
anubis5–13-0.0115%9 Aug
cache9–130.0217%9 Aug
nuke13–50.1326%9 Aug
nuke8–130.0317%8 Aug
anubis13–9-0.0120%7 Aug
nuke13–4-0.0517%7 Aug
dust22–13-0.0520%7 Aug
ancient7–130.028%6 Aug
ancient13–11-0.048%6 Aug
dust24–13-0.0120%6 Aug
ancient7–13-0.0616%5 Aug
cache13–80.0333%5 Aug
nuke13–4-0.0321%5 Aug
mirage6–130.019%4 Aug
dust29–130.0113%4 Aug
dust216–14-0.027%3 Aug
ancient13–100.1110%3 Aug
cache13–6-0.0210%2 Aug
nuke13–7-0.0315%2 Aug
mirage9–13-0.0111%2 Aug
dust23–130.0220%2 Aug
nuke13–3-0.0116%2 Aug
mirage4–13-0.0813%2 Aug
ancient13–40.048%1 Aug
anubis13–90.0813%1 Aug
anubis5–3-0.017%1 Aug
mirage13–50.0422%26 Jul
nuke13–7-0.055%26 Jul
ancient9–13-0.0213%25 Jul
anubis8–13-0.0618%23 Jul
dust210–13-0.058%23 Jul
nuke16–140.0411%23 Jul
mirage13–90.0322%22 Jul
mirage13–90.0113%22 Jul
nuke13–90.0414%21 Jul
anubis7–13-0.107%21 Jul
nuke13–50.1023%21 Jul
anubis8–13-0.0621%20 Jul
dust213–10-0.0514%20 Jul
ancient9–13-0.072%19 Jul
ancient5–130.0423%18 Jul
inferno13–50.016%18 Jul
ancient11–13-0.0113%18 Jul
nuke13–11-0.0719%12 Jul
inferno13–11-0.0117%12 Jul
nuke13–4-0.0814%12 Jul
inferno13–16-0.0111%12 Jul
cache13–70.0121%12 Jul
dust213–9-0.0112%12 Jul
cache13–40.029%12 Jul
mirage13–60.0616%12 Jul
nuke13–60.0015%11 Jul
ancient13–110.0512%11 Jul
cache13–70.0311%11 Jul

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 →