BigTaber/TV

BigTaber/TV — CS2 Stats

NZ76561198088798087[U:1:128532359]Steam profile ↗

291Tracked matches57%Win rate2021Tracked since
476Hours in CS
CSDB Rating3.9 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate38.7%42.1%42.5%3.7% short
Shot accuracy15.3%12.1%10.9%above
Kill/death ratio0.880.990.990.12 short
Match win rate44.6%43.9%44.2%meets

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBigTaber/TVFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning26
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY62335Last 10062%Win rateLWLLWWWWLW

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

Player DNA

Aim4.4
Aggression2.6
Utility3.6
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 69% playstyle similarity

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

Where you differ: lower positioning profile; 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. 561ms 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

Aim4.4
Positioning2.6
Utility3.6
Mechanics4.9
Opening Duels0.6
Win Impact7.4

Composite 3.9/10 (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-0.05−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time562ms−107ms
first ⅓ avg 669ms → last ⅓ avg 562ms
Headshot accuracy10.2%−2.8%
first ⅓ avg 13.0% → 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

0.06Best rating — inferno 12–2
131Biggest win — mirage
8Longest win streak
86In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 75% over 12cacheWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA31171455%-0.05
dust2S2820871%-0.06
cacheB189950%-0.07
overpassS129375%-0.03
infernoS107370%-0.04
office1010%-0.06

Across the last 100 tracked matches.

Lifetime stats

21,655Lifetime kills
0.88K/D
1,232Matches
44.6%Match win rate · Top 50% of Level 3 players
38.7%Headshot %
15.3%Shot accuracy · Top 50% of Level 3 players
1,740MVPs
476Hours (in match)
1,111Bombs planted
161Bombs defused

Most-used weapons

Lifetime map wins

2,028dust2
1,900inferno
424vertigo
113cbble
107nuke
76train
65office
48bank

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

Faceit stats

Combat

4Matches
25%Win rate
0.46Avg K/D
ADR
30%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

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.

10.4%Headshot accuracy
27.8%Accuracy (enemy spotted)
33.9%Spray accuracy
71.9%Counter-strafing
9.5°Preaim
561msReaction time
20.8%T opening success
34.6%CT opening success
0.52Enemies flashed / flash
8.0%Flash assists
6.98HE damage / grenade
2.88Flashes / 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 10.4385% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8797 — below the 4 mark we flag

    Grenade Lineups
  3. 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 20.775% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0812%14 Jul
cache13–10-0.077%14 Jul
mirage0–13-0.030%14 Jul
mirage3–13-0.095%14 Jul
inferno13–5-0.060%14 Jul
dust213–10-0.018%14 Jul
dust213–10-0.0611%2 Jul
cache13–10-0.0715%2 Jul
mirage3–13-0.067%2 Jul
cache13–50.0116%21 Jun
dust213–8-0.0911%21 Jun
dust213–6-0.080%29 May
cache13–10-0.079%29 May
cache10–13-0.075%27 May
mirage12–120.0414%27 May
dust213–5-0.0510%27 May
overpass11–13-0.0511%26 May
mirage11–13-0.0510%26 May
dust213–11-0.0519%26 May
mirage13–10.028%25 May
dust211–13-0.0715%25 May
cache9–13-0.1010%25 May
cache5–13-0.0910%24 May
mirage13–8-0.069%24 May
dust213–11-0.049%24 May
inferno6–13-0.048%22 May
dust213–11-0.1120%22 May
dust213–11-0.0711%21 May
mirage12–12-0.0623%21 May
cache11–13-0.079%21 May
mirage13–5-0.0111%16 May
dust24–13-0.0617%16 May
overpass13–8-0.017%16 May
dust24–13-0.0817%15 May
mirage11–13-0.0418%15 May
cache8–13-0.0517%15 May
office4–13-0.069%15 May
mirage13–11-0.098%11 May
dust213–9-0.088%11 May
dust213–9-0.0511%8 May
cache13–8-0.054%8 May
cache8–13-0.139%7 May
mirage13–6-0.0316%7 May
cache3–13-0.0623%7 May
cache13–5-0.0310%6 May
cache8–13-0.0915%6 May
cache13–7-0.0311%6 May
cache13–3-0.0521%5 May
cache13–11-0.0911%5 May
mirage10–13-0.0411%31 Mar
dust24–13-0.0511%31 Mar
overpass13–7-0.0810%30 Mar
mirage4–13-0.056%30 Mar
dust213–50.0114%30 Mar
mirage15–15-0.115%28 Mar
dust213–3-0.048%25 Mar
inferno13–11-0.0122%25 Mar
mirage13–110.0110%24 Mar
mirage1–13-0.1011%24 Mar
overpass13–7-0.0130%24 Mar
dust213–9-0.079%22 Mar
overpass13–30.037%16 Mar
dust210–13-0.0412%16 Mar
mirage13–7-0.0114%10 Mar
inferno6–13-0.1210%9 Mar
dust211–13-0.0921%9 Mar
dust26–13-0.0716%7 Mar
mirage12–12-0.058%7 Mar
overpass5–13-0.099%7 Mar
inferno13–1-0.0518%7 Mar
overpass13–5-0.0412%5 Mar
mirage12–12-0.0310%5 Mar
dust213–2-0.0111%4 Mar
mirage13–5-0.0111%3 Mar
overpass8–13-0.0815%3 Mar
inferno13–6-0.037%28 Feb
mirage13–6-0.055%28 Feb
mirage13–8-0.0430%25 Feb
dust213–10-0.0830%24 Feb
mirage13–7-0.1114%24 Feb
dust213–9-0.088%22 Feb
inferno12–20.0618%22 Feb
inferno10–13-0.106%21 Feb
mirage13–4-0.075%21 Feb
dust26–13-0.0812%21 Feb
overpass13–9-0.037%20 Feb
mirage13–6-0.116%20 Feb
overpass13–9-0.0120%15 Feb
mirage13–6-0.043%15 Feb
overpass13–70.0412%13 Feb
mirage13–8-0.0711%11 Feb
inferno13–4-0.0119%11 Feb
dust213–2-0.0119%11 Feb
mirage7–13-0.086%10 Feb
dust213–1-0.0220%10 Feb
mirage13–8-0.0819%7 Feb
overpass13–6-0.0222%5 Feb
inferno13–7-0.020%5 Feb
dust29–6-0.0419%5 Feb
mirage13–10-0.0418%4 Feb

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 →