tuna mayo sandwich — CS2 Stats

76561198864262294[U:1:903996566]

2,137Tracked matches39%Win rate2020Tracked since
2,248Hours in CS
CSDB Rating5.2 DevelopingHybrid Rifler
Premier CS Rating16,856Purple band · top ~21% of ranked players (population est.)
CSDB Leaderboard#7379 of 12435 tracked
WingmanSilver I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate46.5%48.1%1.6% short
Shot accuracy14.1%12.9%above
Kill/death ratio1.291.08above
Match win rate46.5%46.5%meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGtuna mayo sandwichPREMIER16,856 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning60
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateLWLLLLWWWL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.2
Aggression7.7
Utility4.7
Positioning6.0
Opening Duels3.3

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

ropz

Plays most like ropz 88% 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

Reaction time. 625ms 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

Aim6.2
Positioning6.0
Utility4.7
Mechanics6.7
Opening Duels3.3
Win Impact1.4

Composite 5.2/10 (Developing), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time624ms−20ms
first ⅓ avg 644ms → last ⅓ avg 624ms
Headshot accuracy20.1%−1.3%
first ⅓ avg 21.4% → last ⅓ avg 20.1%

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

0.15Best rating — dust2 13–1
130Biggest win — inferno
6Longest win streak
79In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 62% over 13ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC33141942%-0.01
dust2C2191243%0.00
infernoA138562%-0.02
anubisC94544%-0.02
cacheA95456%0.00
ancientC83538%-0.01
nukeC73443%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,077Lifetime kills
1.29K/D · Top 25% of tracked players
5,474Matches
46.5%Match win rate · Top 50% of tracked players
46.5%Headshot % · Top 50% of tracked players
14.1%Shot accuracy · Top 50% of tracked players
16,494MVPs
2,248Hours (in match)
5,955Bombs planted
1,127Bombs defused

Most-used weapons

AK-4752,375
AWP20,448
FAMAS5,028
MP93,545
MAC-101,883

Lifetime map wins

12,211dust2
10,502inferno
1,451vertigo
1,248nuke
878train
100office
87lake
62ar_shoots

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.

20.1%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.1%Spray accuracy
80.0%Counter-strafing
10.8°Preaim
625msReaction time
36.4%T opening success
50.1%CT opening success
0.59Enemies flashed / flash
5.9%Flash assists
2.52HE damage / grenade
12.86Flashes / 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 36.4039% — 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.

38% 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
dust28–13-0.0028%28 Aug
mirage13–8-0.0211%28 Aug
dust210–130.0323%28 Aug
dust28–130.0115%28 Aug
anubis13–160.0313%28 Aug
mirage3–13-0.0624%7 Aug
cache13–11-0.0324%7 Aug
inferno13–40.0431%5 Aug
mirage13–80.0115%5 Aug
cache14–16-0.0912%4 Aug
anubis8–13-0.0420%4 Aug
mirage13–110.0325%3 Aug
ancient7–13-0.0124%1 Aug
dust213–10-0.0425%1 Aug
cache2–70.0917%1 Aug
mirage13–20.1120%1 Aug
mirage7–130.0024%31 Jul
dust213–7-0.0427%31 Jul
mirage10–130.0119%30 Jul
inferno13–70.0420%30 Jul
mirage10–130.0126%30 Jul
dust210–13-0.0212%30 Jul
nuke15–150.0121%30 Jul
anubis13–11-0.0021%30 Jul
dust29–130.0215%30 Jul
cache8–13-0.0217%30 Jul
dust213–10.1533%30 Jul
inferno15–15-0.0216%29 Jul
mirage1–13-0.0817%29 Jul
dust24–13-0.0218%29 Jul
dust28–13-0.0618%29 Jul
mirage7–13-0.0420%29 Jul
cache3–13-0.0611%29 Jul
inferno13–50.0440%29 Jul
inferno13–11-0.0426%29 Jul
inferno5–13-0.0713%28 Jul
mirage13–50.0818%28 Jul
dust24–13-0.0427%28 Jul
anubis14–16-0.0512%25 Jul
mirage6–13-0.0726%25 Jul
ancient5–13-0.0220%24 Jul
dust212–16-0.0214%24 Jul
anubis13–7-0.0315%24 Jul
mirage13–80.0231%24 Jul
ancient13–90.0320%24 Jul
dust26–130.0031%24 Jul
mirage11–13-0.0321%23 Jul
mirage2–13-0.0320%23 Jul
anubis16–13-0.0321%23 Jul
ancient13–40.0422%23 Jul
ancient13–90.0013%23 Jul
cache13–20.1335%23 Jul
mirage10–130.0012%23 Jul
mirage2–13-0.0220%23 Jul
ancient15–15-0.0315%22 Jul
dust21–13-0.0016%22 Jul
mirage13–110.0115%21 Jul
inferno13–7-0.0316%21 Jul
ancient3–13-0.0623%20 Jul
anubis5–13-0.0123%20 Jul
dust213–8-0.018%20 Jul
dust213–100.0216%19 Jul
mirage0–13-0.0633%19 Jul
mirage13–9-0.0222%19 Jul
inferno13–00.000%18 Jul
nuke2–130.0219%18 Jul
mirage0–13-0.0522%18 Jul
dust213–9-0.0130%18 Jul
cache13–6-0.0122%18 Jul
cache13–60.0122%18 Jul
anubis11–13-0.0525%18 Jul
cache13–110.0229%17 Jul
dust213–4-0.0021%17 Jul
dust214–160.0830%17 Jul
inferno8–13-0.0526%17 Jul
inferno13–80.0021%17 Jul
mirage13–3-0.0319%16 Jul
mirage14–16-0.0014%16 Jul
mirage9–13-0.0216%16 Jul
mirage5–13-0.0620%5 Jun
dust213–10-0.0028%3 Jun
inferno13–8-0.0428%3 Jun
mirage13–60.0630%3 Jun
dust213–50.0321%30 May
mirage13–1-0.0525%30 May
mirage4–13-0.0322%27 May
nuke13–10.0826%27 May
mirage11–13-0.0519%27 May
mirage11–130.0115%25 May
inferno10–13-0.068%23 May
nuke11–13-0.0222%23 May
inferno15–15-0.0222%22 May
ancient8–13-0.0310%22 May
nuke12–160.0222%21 May
mirage13–70.0420%21 May
mirage13–5-0.0216%20 May
nuke13–10-0.0712%20 May
mirage13–80.0025%19 May
nuke13–100.0124%17 May
anubis16–14-0.0317%17 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 →