Tavi

Tavi — CS2 Stats

CA76561198152319723[U:1:192053995]Steam profile ↗✓ No bans

946Tracked matches44%Win rate2022Tracked since
1,080Hours in CS
CSDB Rating4.7 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim69
Positioning57
Utility16

0–100 skill scores via Leetify.

Recent form

COLD444313Last 10044%Win rateWLLLLLWLWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim6.9
Aggression6.9
Utility1.6
Positioning5.7
Opening Duels3.4
Clutch0.0

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 83% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim6.9
Positioning5.7
Utility1.6
Mechanics4.0
Opening Duels3.4
Win Impact3.1

Composite 4.7/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time591ms+19ms
first ⅓ avg 572ms → last ⅓ avg 591ms
Headshot accuracy18.1%−0.3%
first ⅓ avg 18.4% → last ⅓ avg 18.1%

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

0.21Best rating — dust2 3–13
131Biggest win — mirage
5Longest win streak
95In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 63% over 8infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB45222349%-0.01
mirageA85363%0.02
infernoD81713%-0.01
trainC52340%0.02
vertigoD51420%-0.01
nuke42250%0.01
warden41325%0.03
anubis3030%-0.03
boulder31233%-0.01
overpass330100%0.07
italy31233%0.04
ancient2020%0.01
shelter21150%0.03
dust221150%0.12
office220100%-0.02
poseidon110100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,544Lifetime kills
0.87K/D
1,687Matches
43.8%Match win rate
43.2%Headshot %
1.3%Shot accuracy
2,762MVPs
1,080Hours (in match)
487Bombs planted
233Bombs defused

Most-used weapons

Lifetime map wins

2,882nuke
1,151vertigo
1,023inferno
1,010dust2
637office
557train
139italy
24dust

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

Faceit stats

Combat

1Matches
100%Win rate
0.72Avg K/D
69.9ADR
54%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

17.3%Headshot accuracy
37.8%Accuracy (enemy spotted)
52.6%Spray accuracy
68.2%Counter-strafing
12.1°Preaim
589msReaction time
35.0%T opening success
51.9%CT opening success
0.32Enemies flashed / flash
4.0%Flash assists
3.05HE damage / grenade
0.78Flashes / 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 12.1005° — above the 12° 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 0.3201 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–20.1236%27 Aug
cache7–13-0.079%23 Aug
inferno5–130.0114%7 Aug
anubis7–13-0.088%7 Aug
train9–13-0.0211%5 Aug
train8–130.0014%4 Aug
nuke13–70.0214%2 Aug
inferno10–13-0.0412%2 Aug
mirage13–11-0.0226%1 Aug
boulder10–13-0.0620%1 Aug
cache10–13-0.0610%1 Aug
boulder13–100.017%26 Jul
vertigo4–13-0.0631%26 Jul
train6–130.029%26 Jul
nuke11–13-0.039%22 Jul
overpass13–30.1143%19 Jul
ancient12–120.0321%17 Jul
cache12–120.0529%17 Jul
vertigo10–40.1226%17 Jul
shelter2–130.0126%17 Jul
mirage7–13-0.0410%17 Jul
boulder12–120.015%10 Jul
shelter13–50.0521%10 Jul
overpass13–60.0726%4 Jul
cache3–13-0.050%4 Jul
cache13–40.0215%30 Jun
mirage8–130.0226%28 Jun
mirage13–50.0615%28 Jun
cache13–80.0629%28 Jun
italy13–50.0812%28 Jun
mirage13–30.0025%28 Jun
warden6–13-0.0223%28 Jun
inferno10–13-0.0315%28 Jun
cache5–13-0.0720%20 Jun
anubis12–120.0323%19 Jun
train13–60.0418%18 Jun
inferno13–90.0326%17 Jun
dust213–60.0217%14 Jun
warden13–90.1023%14 Jun
cache13–4-0.0719%12 Jun
cache2–13-0.0322%11 Jun
cache12–12-0.0417%11 Jun
cache4–13-0.0519%11 Jun
warden4–13-0.0121%11 Jun
anubis12–12-0.0311%4 Jun
inferno12–12-0.0635%2 Jun
cache3–13-0.0721%29 May
vertigo10–13-0.0122%28 May
cache7–13-0.0313%27 May
cache13–8-0.0131%20 May
nuke9–30.0312%19 May
poseidon9–70.046%19 May
cache12–120.0621%18 May
cache3–13-0.0419%18 May
cache7–13-0.0424%17 May
dust23–130.2121%16 May
cache13–70.0336%16 May
cache13–70.0829%16 May
italy9–130.0220%14 May
cache13–80.0123%14 May
office13–11-0.0611%14 May
cache13–70.0642%12 May
vertigo7–130.0211%12 May
office13–80.0121%12 May
cache4–13-0.0219%11 May
cache13–30.0718%11 May
nuke12–120.0314%10 May
cache11–130.0228%10 May
cache8–13-0.0131%10 May
cache13–6-0.0017%10 May
cache13–40.1117%10 May
warden11–130.0615%10 May
cache9–13-0.0732%9 May
cache13–2-0.0725%9 May
cache7–13-0.0214%9 May
cache13–9-0.0518%8 May
cache11–130.0329%8 May
cache6–13-0.079%7 May
cache10–13-0.0012%6 May
cache13–10-0.0319%6 May
inferno8–130.0217%5 May
vertigo4–13-0.1124%5 May
ancient12–12-0.0114%3 May
cache13–110.0119%3 May
cache13–80.0018%3 May
cache13–11-0.0324%3 May
cache11–130.0216%2 May
cache13–9-0.0215%1 May
cache13–6-0.0329%30 Apr
cache13–11-0.0716%30 Apr
cache13–110.0515%29 Apr
cache13–11-0.0118%29 Apr
cache12–12-0.0617%28 Apr
inferno12–120.0018%27 Apr
mirage13–1-0.0223%27 Apr
mirage3–130.025%26 Apr
overpass13–110.043%26 Apr
italy6–130.0224%26 Apr
train13–50.0712%26 Apr
inferno12–12-0.0514%26 Apr

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 →