Tacc_ — CS2 Stats

76561199094891093[U:1:1134625365]

1,371Tracked matches48%Win rate2023Tracked since
2,024Hours in CS1Hrs last 2 wks
CSDB Rating5.4 DevelopingPassive Rifler
Premier CS Rating23,815Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#5361 of 27067 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 medianRed band medianvs Red band
Headshot rate60.9%47.2%49.9%above
Shot accuracy2.9%12.7%13.4%10.5% short
Kill/death ratio2.401.091.12above
Match win rate47.4%46.6%48.4%1.0% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGTacc_PREMIER23,815 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning45
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLLLLLLWWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim7.1
Aggression4.3
Utility4.6
Positioning4.5
Opening Duels0.8
Clutch3.4

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 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Aim7.1
Positioning4.5
Utility4.6
Mechanics6.7
Opening Duels0.9
Win Impact4.4

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time630ms+7ms
first ⅓ avg 624ms → last ⅓ avg 630ms
Headshot accuracy19.8%+1.3%
first ⅓ avg 18.4% → last ⅓ avg 19.8%

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

0.33Best rating — inferno 9–2
133Biggest win — ancient
6Longest win streak
L6Current streak
113In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 55% over 11ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB29131645%-0.01
infernoB168850%0.01
nukeB147750%0.01
ancientD134931%0.00
anubisA116555%-0.00
dust2B105550%-0.00
cache43175%0.01
overpass110100%0.05
train110100%-0.02
vertigo1010%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,194Lifetime kills
2.40K/D · Top 1% of Pink band
1,991Matches
47.4%Match win rate · Top 50% of Pink band
60.9%Headshot % · Top 10% of Pink band
2.9%Shot accuracy
6,763MVPs
705Hours (in match)
1,459Bombs planted
1,434Bombs defused

Most-used weapons

AK-4743,139
AWP6,317
FAMAS1,810
MP91,705
UMP-451,113

Lifetime map wins

2,892nuke
2,623inferno
2,540dust2
1,623vertigo
440train
125office
114italy
100aztec

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

Faceit stats

Combat

449Matches
49%Win rate
1.03Avg K/D
77.5ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
29%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11446%1.0816.7
Dust29253%1.0315.8
Nuke7349%1.0215.4
Ancient6555%1.0816.0
Inferno4042%0.9816.1
Overpass2133%0.9613.9
Anubis1953%0.9214.7
Train729%0.8916.0

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.

18.2%Headshot accuracy
36.0%Accuracy (enemy spotted)
36.5%Spray accuracy
80.4%Counter-strafing
9.1°Preaim
625msReaction time
29.3%T opening success
37.3%CT opening success
0.48Enemies flashed / flash
5.8%Flash assists
5.50HE damage / grenade
8.52Flashes / 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 0.4827 — 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 29.2783% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke2–13-0.0624%12 Aug
nuke2–13-0.1030%6 Aug
ancient13–16-0.0212%3 Aug
anubis9–130.0122%1 Aug
mirage9–130.0116%1 Aug
inferno6–9-0.0830%1 Aug
inferno13–80.0219%31 Jul
ancient13–30.0016%31 Jul
anubis13–11-0.0111%31 Jul
cache13–5-0.0013%31 Jul
mirage4–13-0.0618%30 Jul
mirage13–100.0719%30 Jul
dust27–13-0.0530%30 Jul
nuke14–160.0522%15 Jul
mirage13–9-0.0418%14 Jul
anubis13–10-0.0614%14 Jul
anubis9–13-0.0418%14 Jul
nuke7–9-0.0319%14 Jul
inferno9–6-0.0313%14 Jul
inferno4–9-0.1419%14 Jul
ancient13–90.0213%13 Jul
mirage6–13-0.1033%13 Jul
cache13–30.0719%13 Jul
nuke13–80.0217%13 Jul
ancient16–140.1423%13 Jul
nuke13–80.0821%12 Jul
inferno13–110.0222%9 Jul
mirage7–13-0.0614%8 Jul
inferno9–20.3344%8 Jul
mirage12–120.0111%8 Jul
nuke8–8-0.0627%5 Jul
inferno19–220.0113%1 Jul
ancient4–130.0113%29 Jun
ancient9–130.0312%29 Jun
mirage5–13-0.0321%28 Jun
mirage13–50.0421%28 Jun
overpass13–60.0519%28 Jun
ancient13–11-0.0123%28 Jun
dust24–13-0.0713%28 Jun
mirage13–110.0212%27 Jun
mirage1–13-0.0512%27 Jun
mirage13–10-0.0415%21 Jun
ancient10–130.0116%21 Jun
inferno7–130.0110%20 Jun
anubis13–80.0321%20 Jun
inferno9–13-0.0421%19 Jun
cache7–13-0.0123%19 Jun
train13–6-0.0215%18 Jun
mirage12–120.0116%17 Jun
inferno6–9-0.130%16 Jun
inferno9–130.0620%15 Jun
anubis10–13-0.028%14 Jun
dust29–13-0.0029%14 Jun
ancient2–130.0020%14 Jun
anubis15–150.0315%14 Jun
mirage13–10-0.0418%14 Jun
ancient10–13-0.0713%13 Jun
nuke13–8-0.0029%13 Jun
dust213–40.0815%11 Jun
anubis10–20.1128%11 Jun
dust27–13-0.0220%9 Jun
nuke13–50.0720%9 Jun
mirage13–80.0024%9 Jun
dust26–130.0152%7 Jun
anubis4–13-0.0510%7 Jun
mirage16–120.0117%7 Jun
mirage8–13-0.0115%7 Jun
inferno9–7-0.0327%5 Jun
mirage19–170.0016%5 Jun
anubis13–90.0022%5 Jun
mirage9–130.0320%4 Jun
mirage13–16-0.0415%3 Jun
mirage5–13-0.0113%3 Jun
dust213–50.0217%3 Jun
nuke9–13-0.079%3 Jun
inferno9–40.1529%3 Jun
vertigo7–13-0.068%3 Jun
mirage9–13-0.007%1 Jun
cache13–11-0.0211%1 Jun
nuke4–130.0242%1 Jun
mirage12–12-0.0418%1 Jun
ancient3–13-0.0818%1 Jun
mirage12–16-0.0416%31 May
mirage13–80.0311%31 May
nuke13–8-0.048%31 May
mirage16–140.0625%31 May
dust213–5-0.0524%31 May
mirage10–130.0220%30 May
inferno16–19-0.0314%29 May
dust213–80.0618%29 May
nuke16–13-0.0115%29 May
inferno16–140.0019%29 May
inferno13–10-0.0427%28 May
mirage13–70.0312%28 May
dust213–110.0020%28 May
ancient5–130.0737%27 May
mirage13–40.0610%27 May
ancient11–13-0.0316%27 May
anubis13–6-0.0223%25 May
nuke9–40.2023%25 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 →