★ tuna

★ tuna — CS2 Stats

76561199519935862[U:1:1559670134]Steam profile ↗✓ No bans

1,451Tracked matches59%Win rate2025Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating18,222Purple band · top ~15.6% of ranked players (population est.)
FaceitLevel 3 · 810 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,222 +2,629 8 Sept – 2 Nov · 12 days played
15,59318,222peak 18,2228 Sept2 Nov
Faceit ELO: 810 +0 8 Sept – 25 Oct · 2 observations
810810peak 8108 Sept25 Oct
18,222Peak Premier in tracked matches
810Highest Faceit ELO seen on CSDB
38Days played since 2026-09-08

Faceit ELO

  • At peak — 810
  • Next: Level 4 at 901 — 91 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-08
  • Level 2 first seen 2026-09-08

Premier CS Rating

  • At peak — 18,222
  • +1,783 over 30 days · improving
  • Next: Pink band at 20,000 — 1,778 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-08
  • Blue band first seen 2026-09-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG★ tunaFACEITLevel 3 · 810 ELOSTANDINGTop 90.6% of rankedPREMIER18,222 · Purple bandPEAK ELO810csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim80
Positioning43
Utility74

0–100 skill scores via Leetify.

Recent form

HOT57–35–8Last 10057%Win rateTLWWWWWLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · +29ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 623ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 589ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 575ms

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: Support — Utility contribution stands above the rest of this profile (+3.4 against its own average).

Aim8.0
Utility7.4
Positioning4.3
Opening Duels0.8
Clutch3.4

Excellent counter-strafingStrong CT-side opener

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

ZywOo

Plays most like ZywOo 74% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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 37 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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
Positioning4.3
Utility7.4
Mechanics8.6
Opening Duels2.1
Win Impact8.1

Composite 6.7/10 (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 -0.01 → last ⅓ avg 0.01
Reaction time581ms−23ms
first ⅓ avg 604ms → last ⅓ avg 581ms
Headshot accuracy14.6%−5.4%
first ⅓ avg 20.1% → last ⅓ avg 14.6%

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 · 13–3 · mirage, 22 Oct →
41%Best headshot accuracy · 12–12 · inferno, 12 Oct →
391msFastest reaction time · 2–13 · mirage, 13 Oct →
13–1Biggest win · inferno, 2 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 87% over 15anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC198–1142%-0.01
dust2S1913–668%-0.01
mirageA1811–761%0.01
ancientS1513–287%-0.01
anubisD92–722%0.00
cacheA85–363%-0.01
nukeD62–433%0.01
train—31–233%-0.02
vertigo—21–150%0.05
office—11–0100%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

122Matches
49%Win rate
0.99Avg K/D
73.8ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3053%0.9213.7
Dust22756%1.0213.4
Ancient1963%0.9613.4
Nuke1656%1.3212.6
Inferno1217%0.7212.4
Anubis812%0.9818.3
Cache425%0.9117.0
Vertigo3100%1.0616.0

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.

14.9%Headshot accuracy
40.1%Accuracy (enemy spotted)
43.2%Spray accuracy
88.8%Counter-strafing
11.0°Preaim
585msReaction time
24.9%T opening success
47.0%CT opening success
0.61Enemies flashed / flash
8.6%Flash assists
11.89HE damage / grenade
13.60Flashes / 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 14.9151% — below the 15% mark we flag

    Aim Training →
  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 24.9471% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient12–12-0.1010%5 Nov →
vertigo4–70.0217%5 Nov →
mirage13–60.0816%4 Nov →
ancient13–40.0115%3 Nov →
nuke13–80.0617%2 Nov →
inferno13–10.109%2 Nov →
ancient13–80.0723%2 Nov →
inferno2–9-0.1617%2 Nov →
cache9–70.0022%2 Nov →
dust213–3-0.032%2 Nov →
inferno13–90.0318%1 Nov →
anubis11–130.0418%1 Nov →
nuke12–120.0518%31 Oct →
mirage16–130.0218%31 Oct →
inferno13–110.0025%30 Oct →
cache9–13-0.038%30 Oct →
inferno7–60.0110%30 Oct →
inferno9–13-0.0215%30 Oct →
ancient16–13-0.0011%30 Oct →
nuke6–130.0220%30 Oct →
anubis8–13-0.0312%30 Oct →
mirage7–13-0.0620%30 Oct →
ancient13–80.0412%29 Oct →
inferno13–50.0314%28 Oct →
dust213–60.0431%28 Oct →
anubis12–16-0.0412%27 Oct →
anubis8–13-0.064%27 Oct →
dust29–13-0.0318%27 Oct →
anubis6–130.0117%27 Oct →
mirage16–140.0711%27 Oct →
inferno12–12-0.057%26 Oct →
anubis13–160.0814%26 Oct →
cache13–8-0.024%25 Oct →
dust213–5-0.0112%25 Oct →
dust27–13-0.0511%25 Oct →
ancient13–2-0.0319%24 Oct →
mirage13–2-0.023%24 Oct →
nuke13–70.0516%24 Oct →
inferno11–130.0216%23 Oct →
dust213–30.0619%23 Oct →
dust213–6-0.1013%22 Oct →
inferno11–13-0.0321%22 Oct →
mirage13–30.1330%22 Oct →
inferno12–120.0016%21 Oct →
cache13–110.0716%21 Oct →
nuke6–13-0.0414%20 Oct →
mirage13–40.1017%20 Oct →
dust213–7-0.0414%20 Oct →
mirage16–120.0219%19 Oct →
dust216–130.0515%19 Oct →
office13–90.0625%19 Oct →
anubis13–70.0229%18 Oct →
mirage13–100.0115%17 Oct →
ancient13–50.0818%17 Oct →
mirage12–12-0.0222%17 Oct →
inferno3–00.000%17 Oct →
dust28–13-0.0319%17 Oct →
dust213–60.0427%16 Oct →
dust28–13-0.045%15 Oct →
dust27–13-0.019%15 Oct →
mirage13–110.0111%14 Oct →
ancient12–6-0.105%14 Oct →
inferno6–13-0.0132%14 Oct →
mirage11–13-0.0427%13 Oct →
nuke9–13-0.0612%13 Oct →
dust213–110.0123%13 Oct →
mirage13–4-0.0038%13 Oct →
mirage2–13-0.0912%13 Oct →
anubis12–4-0.0022%12 Oct →
inferno12–12-0.0641%12 Oct →
mirage4–130.0323%11 Oct →
cache7–13-0.0610%11 Oct →
cache13–90.0121%10 Oct →
mirage7–130.0121%10 Oct →
inferno4–13-0.0719%10 Oct →
ancient16–13-0.0224%10 Oct →
vertigo13–40.0831%10 Oct →
train12–12-0.0322%8 Oct →
inferno13–6-0.029%7 Oct →
dust213–3-0.0421%7 Oct →
mirage13–90.0313%6 Oct →
ancient13–3-0.0011%6 Oct →
cache6–9-0.018%5 Oct →
ancient13–30.0115%4 Oct →
ancient13–7-0.019%4 Oct →
ancient13–80.0122%4 Oct →
dust213–9-0.0619%4 Oct →
mirage9–13-0.0214%2 Oct →
anubis12–12-0.0025%2 Oct →
train5–13-0.0234%2 Oct →
cache13–10-0.0427%2 Oct →
dust213–90.1123%30 Sept →
dust25–13-0.0322%30 Sept →
train13–9-0.0031%30 Sept →
inferno7–13-0.0027%29 Sept →
ancient6–13-0.0414%28 Sept →
ancient13–9-0.0914%28 Sept →
inferno8–13-0.0432%28 Sept →
dust213–11-0.0313%25 Sept →
inferno13–20.0813%24 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.