TunaLV

TunaLV — CS2 Stats

LV76561198851974797[U:1:891709069]Steam profile ↗✓ No bans

188Tracked matches27%Win rate2020Tracked since
CSDB Rating1.9 Learning
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

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CSDB.GGTunaLVFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim23
Positioning26
Utility25

0–100 skill scores via Leetify.

Recent form

COLD37594Last 10037%Win rateLLLLLLLLWL

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Aim2.3
Aggression0.4
Utility2.5
Positioning2.6
Opening Duels0.0

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

NiKo

Plays most like NiKo 59% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 660ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim2.3
Positioning2.6
Utility2.5
Mechanics2.4
Opening Duels0.0
Win Impact0.0

Composite 1.9/10 (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-0.06−0.04
first ⅓ avg -0.02 → last ⅓ avg -0.06
Reaction time653ms−53ms
first ⅓ avg 706ms → last ⅓ avg 653ms
Headshot accuracy10.2%−5.9%
first ⅓ avg 16.1% → last ⅓ avg 10.2%

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

0.17Best rating — mirage 13–11
131Biggest win — mirage
4Longest win streak
L8Current streak
413In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 40% over 30overpassWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC30121840%-0.03
nukeC1971237%-0.02
dust2C135838%-0.02
infernoD123925%-0.07
trainD93633%-0.06
overpassD71614%-0.07
ancient21150%-0.05
anubis220100%-0.05
office21150%-0.03
vertigo220100%-0.02
cache1010%-0.11
grail1010%-0.08

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

161Matches
45%Win rate
0.64Avg K/D
ADR
35%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

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.

10.6%Headshot accuracy
28.8%Accuracy (enemy spotted)
40.2%Spray accuracy
60.8%Counter-strafing
13.1°Preaim
660msReaction time
17.8%T opening success
24.9%CT opening success
0.48Enemies flashed / flash
3.1%Flash assists
8.01HE damage / grenade
3.83Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1425° — above the 12° mark we flag

    Aim Training
  2. 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 10.636% — below the 15% mark we flag

    Aim Training
  3. 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 0.4849 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Overpass

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0613%19 Jul
cache5–13-0.116%14 Jul
overpass5–13-0.0815%16 Jun
dust27–13-0.1114%9 Jun
overpass9–13-0.1113%9 Jun
mirage3–13-0.098%8 Jun
inferno10–13-0.0914%6 Jun
dust26–13-0.090%19 May
inferno13–8-0.110%13 Apr
ancient4–13-0.0514%13 Apr
overpass11–130.0111%28 Dec
mirage13–5-0.036%23 Dec
dust211–130.028%23 Dec
inferno11–13-0.107%21 Dec
mirage8–13-0.0517%21 Dec
dust211–13-0.0218%17 Dec
mirage13–9-0.024%8 Nov
anubis13–7-0.0215%1 Nov
train10–13-0.0510%7 Oct
inferno3–13-0.1217%7 Oct
office6–13-0.094%6 Oct
nuke13–6-0.0214%29 Sept
vertigo13–10-0.0512%23 Sept
inferno10–13-0.105%28 Aug
dust216–14-0.028%28 Aug
overpass8–13-0.1020%17 Aug
mirage13–80.0719%17 Aug
overpass11–13-0.0410%16 Aug
mirage8–13-0.103%16 Aug
mirage9–13-0.0515%10 Aug
nuke4–13-0.083%8 Aug
inferno13–10-0.0612%8 Aug
mirage1–11-0.090%8 Aug
mirage10–13-0.0611%3 Aug
overpass9–6-0.037%30 Jul
inferno3–13-0.0813%29 Jul
nuke13–10-0.0412%20 Jul
dust213–10-0.0110%20 Jul
overpass5–13-0.112%15 Jul
vertigo13–30.0012%15 Jul
mirage2–13-0.0414%12 Jul
nuke14–16-0.0711%28 Jun
mirage15–15-0.0711%28 Jun
nuke7–130.0216%17 Jun
dust213–50.0618%17 Jun
ancient13–8-0.0517%10 Jun
mirage3–13-0.0611%9 Jun
train11–13-0.0520%6 Jun
dust28–130.0219%5 Jun
mirage9–130.0215%2 Jun
mirage13–9-0.118%1 Jun
dust24–13-0.0810%29 May
nuke12–16-0.0119%27 May
mirage13–80.0029%24 May
nuke13–8-0.0913%24 May
dust213–110.0317%24 May
train6–13-0.1220%23 May
mirage7–13-0.0721%10 May
train13–9-0.067%8 May
grail8–13-0.0814%8 May
mirage15–15-0.0321%8 May
inferno7–13-0.0813%29 Apr
inferno6–13-0.0221%25 Apr
nuke15–15-0.0814%23 Apr
mirage3–130.0818%23 Apr
nuke14–16-0.058%16 Apr
nuke13–100.0634%2 Apr
nuke11–13-0.0216%30 Mar
mirage13–110.1724%30 Mar
mirage1–13-0.0717%25 Mar
nuke13–80.0120%22 Mar
nuke6–13-0.0813%20 Mar
nuke11–13-0.0423%20 Mar
anubis13–5-0.0713%19 Mar
mirage13–10.0515%14 Mar
mirage13–5-0.0216%13 Mar
mirage13–10-0.0410%2 Mar
nuke5–130.0115%2 Mar
inferno13–7-0.0613%25 Feb
inferno11–130.0311%11 Feb
office13–90.0319%6 Feb
dust211–130.0126%6 Feb
mirage13–80.0222%5 Feb
nuke13–20.1123%5 Feb
mirage13–11-0.057%4 Feb
nuke3–13-0.0417%1 Feb
inferno9–13-0.0217%31 Jan
train13–7-0.0525%31 Jan
mirage7–13-0.0818%26 Jan
train13–4-0.0210%24 Jan
dust213–8-0.0719%24 Jan
dust23–13-0.0311%7 Jan
mirage13–2-0.0322%2 Jan
train11–13-0.069%3 Dec
train12–12-0.0323%27 Nov
mirage9–13-0.0316%27 Nov
train2–13-0.107%27 Nov
mirage10–13-0.0515%5 Nov
nuke13–40.027%5 Nov
mirage9–13-0.0213%4 Nov

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →