mdy tarantino

mdy tarantino — CS2 Stats

KR76561198092518133[U:1:132252405]Steam profile ↗✓ No bans

543Tracked matches43%Win rate2020Tracked since
3,791Hours in CS8Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating14,611Blue band · top ~30.5% of ranked players (population est.)
CSDB Leaderboard#10135 of 15330 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmdy tarantinoFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,611 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning37
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46459Last 10046%Win rateLWLLLWWWLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim5.5
Aggression2.3
Utility4.6
Positioning3.7
Opening Duels0.0
Clutch0.0

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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 631ms 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

Aim5.5
Positioning3.7
Utility4.6
Mechanics6.5
Opening Duels0.0
Win Impact2.6

Composite 4.1/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time644ms−32ms
first ⅓ avg 676ms → last ⅓ avg 644ms
Headshot accuracy18.4%+0.7%
first ⅓ avg 17.6% → last ⅓ avg 18.4%

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

0.09Best rating — mirage 12–12
130Biggest win — cache
6Longest win streak
74In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 70% over 10ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC146843%-0.00
nukeB136746%-0.01
overpassA117464%-0.02
vertigoC104640%0.00
trainS107370%-0.01
cacheB84450%-0.02
ancientC83538%-0.01
anubisC73443%0.01
mirageB63350%0.02
dust241325%-0.02
office31233%-0.01
warden21150%0.01
shelter1010%0.03
italy1010%-0.06
alpine1010%-0.02
stronghold1010%-0.06

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

97,314Lifetime kills
0.96K/D
5,325Matches
39.4%Match win rate
39.3%Headshot %
17.0%Shot accuracy · Top 25% of tracked players
10,947MVPs
1,961Hours (in match)
6,008Bombs planted
886Bombs defused

Most-used weapons

AK-4725,982
AWP14,422
P2503,208
Tec-92,308
SSG 082,231

Lifetime map wins

7,678inferno
6,110vertigo
3,920train
3,166dust2
2,731nuke
1,216cbble
272office
180lake

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

Faceit stats

Combat

200Matches
48%Win rate
0.97Avg K/D
59.0ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%1.0215.0
Dust21100%0.6911.0

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.

18.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
30.9%Spray accuracy
79.4%Counter-strafing
10.5°Preaim
631msReaction time
29.0%T opening success
19.9%CT opening success
0.40Enemies flashed / flash
6.2%Flash assists
9.82HE damage / grenade
8.21Flashes / 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. 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 0.3979 — below the 0.5 mark we flag

    Grenade Lineups
  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 28.962% — 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
vertigo8–13-0.0616%24 Aug
inferno13–5-0.0521%24 Aug
overpass7–13-0.067%24 Aug
nuke5–13-0.0348%24 Aug
shelter10–130.0319%22 Aug
mirage13–40.0117%19 Aug
cache9–20.0525%5 Aug
office13–80.0216%5 Aug
cache2–13-0.070%4 Jul
italy2–13-0.065%3 Jul
inferno12–120.0617%29 Jun
train13–10-0.0215%24 Jun
vertigo3–130.0324%19 Jun
cache13–3-0.0014%19 Jun
inferno13–11-0.0323%15 Jun
ancient4–13-0.0521%10 Jun
train13–11-0.078%27 May
cache13–9-0.019%27 May
nuke6–13-0.0121%27 May
inferno12–120.0117%25 May
warden10–130.0229%18 May
cache9–13-0.0618%13 May
dust211–130.0126%5 May
cache9–13-0.0424%5 May
ancient13–100.0421%4 May
inferno13–4-0.0021%4 May
cache9–13-0.0416%4 May
vertigo9–130.0120%30 Apr
cache13–00.0212%29 Apr
dust22–13-0.0620%22 Apr
mirage12–120.0918%21 Apr
vertigo11–13-0.0317%16 Apr
dust26–13-0.0220%16 Apr
alpine11–13-0.0210%16 Apr
anubis13–9-0.0411%16 Apr
train13–9-0.0111%15 Apr
vertigo5–20.0413%10 Apr
inferno6–13-0.007%10 Apr
ancient2–7-0.0511%2 Apr
anubis8–130.0211%1 Apr
mirage8–13-0.0517%28 Mar
nuke6–13-0.0316%27 Mar
vertigo9–130.0718%27 Mar
anubis6–130.0722%27 Mar
inferno3–13-0.0413%27 Mar
mirage13–50.0717%24 Mar
nuke12–12-0.0215%24 Mar
inferno13–10-0.0229%23 Mar
ancient7–13-0.0118%23 Mar
mirage4–13-0.0435%22 Mar
overpass13–50.0718%22 Mar
overpass8–13-0.0711%19 Mar
ancient12–12-0.0324%19 Mar
vertigo13–11-0.0223%13 Mar
overpass13–90.0024%13 Mar
nuke13–7-0.0522%10 Mar
warden13–70.0011%10 Mar
ancient13–50.0317%9 Mar
inferno6–13-0.0139%5 Mar
train13–100.0429%4 Mar
overpass13–10-0.0518%28 Feb
train13–80.0216%28 Feb
nuke10–13-0.0019%23 Feb
anubis9–13-0.0224%23 Feb
train13–60.0211%23 Feb
vertigo13–9-0.0121%11 Feb
overpass13–50.029%10 Feb
anubis10–13-0.038%9 Feb
inferno12–120.0112%9 Feb
nuke10–13-0.0717%1 Feb
inferno7–13-0.068%1 Feb
anubis13–110.0225%1 Feb
inferno16–12-0.0011%1 Feb
overpass13–8-0.0622%1 Feb
dust213–60.0113%1 Feb
ancient10–130.0329%1 Feb
office12–120.0219%27 Jan
nuke13–60.0212%27 Jan
nuke13–110.0416%22 Jan
stronghold6–13-0.0620%22 Jan
anubis13–80.0814%22 Jan
train13–10-0.0216%12 Jan
overpass13–100.0615%7 Jan
office4–13-0.0614%7 Jan
nuke13–80.0041%3 Jan
inferno13–90.0717%3 Jan
ancient13–11-0.0123%3 Jan
overpass13–6-0.0322%3 Jan
nuke13–9-0.0233%3 Jan
nuke13–80.0313%27 Dec
train10–13-0.0414%27 Dec
overpass0–4-0.070%26 Dec
vertigo13–11-0.0130%26 Dec
train12–120.0721%11 Dec
overpass15–15-0.0417%5 Dec
mirage13–70.0415%22 Nov
vertigo5–13-0.0120%22 Nov
train11–13-0.0411%10 Nov
nuke6–130.0517%9 Nov
inferno7–130.0318%8 Nov

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 →