TUCKER

TUCKER — CS2 Stats

76561198088473550[U:1:128207822]Steam profile ↗✓ No bans

211Tracked matches67%Win rate2020Tracked since
955Hours in CS
CSDB Rating4.5 Developing
Ladder ranks via Leetify

Performance scores

Aim42
Positioning52
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY484012Last 10048%Win rateLWWTWLWLWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim4.2
Aggression6.4
Utility1.8
Positioning5.2
Opening Duels2.3

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

Twistzz

Plays most like Twistzz 77% playstyle similarity

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

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

Reaction time. 654ms 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

Aim4.2
Positioning5.2
Utility1.8
Mechanics4.5
Opening Duels2.3
Win Impact10.0

Composite 4.5/10 (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 rating-0.01−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time647ms+6ms
first ⅓ avg 641ms → last ⅓ avg 647ms
Headshot accuracy10.1%−4.5%
first ⅓ avg 14.6% → last ⅓ avg 10.1%

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

0.11Best rating — anubis 13–8
131Biggest win — office
5Longest win streak
510In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 82% over 11infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
officeC167944%-0.01
anubisC135838%0.01
ancientC125742%0.00
nukeS119282%0.00
infernoD102820%-0.02
cacheA95456%-0.02
trainA74357%0.01
overpassC52340%-0.01
dust2C52340%-0.04
mirageA53260%0.02
agency21150%-0.05
grail220100%0.05
vertigo110100%0.04
italy1010%-0.01
brewery1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,035Lifetime kills
1.23K/D · Top 25% of tracked players
2,624Matches
39.3%Match win rate
34.0%Headshot %
18.1%Shot accuracy · Top 10% of tracked players
5,495MVPs
955Hours (in match)
1,604Bombs planted
495Bombs defused

Most-used weapons

AK-4713,733
AWP5,430
P903,587
Tec-91,666
P2501,116
SG 5531,110

Lifetime map wins

9,777dust2
1,868inferno
1,103nuke
712office
402train
268cbble
247vertigo
46italy

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

Faceit stats

Combat

2Matches
50%Win rate
0.87Avg K/D
ADR
28%Headshot %

Clutches & streaks

1v1 clutch win
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.

10.4%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.1%Spray accuracy
70.4%Counter-strafing
10.7°Preaim
654msReaction time
42.2%T opening success
36.4%CT opening success
0.24Enemies flashed / flash
5.9%Flash assists
6.41HE damage / grenade
1.15Flashes / 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 10.382% — below the 15% 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 0.243 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.4464% — below the 40% mark we flag

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache2–13-0.079%30 Jul
ancient13–70.0614%30 Jul
cache13–10-0.0210%6 Jun
cache12–12-0.0213%15 May
cache13–80.0312%14 May
cache11–13-0.1111%13 May
cache13–70.0314%6 May
cache9–13-0.0310%2 May
cache13–4-0.014%2 May
cache13–110.0315%1 May
overpass13–7-0.044%28 Apr
overpass11–130.0215%24 Apr
nuke13–80.0019%24 Apr
anubis7–13-0.0313%22 Apr
vertigo13–100.0413%11 Apr
overpass13–40.0417%10 Apr
office11–13-0.0621%12 Mar
dust213–10-0.054%7 Mar
anubis15–15-0.060%6 Mar
office12–12-0.025%27 Feb
anubis13–9-0.008%26 Jan
anubis9–13-0.026%24 Jan
mirage13–8-0.0010%24 Jan
nuke13–30.042%24 Jan
nuke13–100.0010%23 Jan
anubis8–13-0.0312%22 Jan
ancient13–10-0.0416%18 Jan
ancient13–6-0.038%16 Jan
nuke13–6-0.0310%18 Dec
dust22–13-0.066%14 Dec
mirage13–80.039%14 Dec
inferno9–130.025%13 Dec
office12–12-0.048%13 Sept
ancient11–13-0.034%8 Aug
overpass9–13-0.045%8 Aug
mirage15–150.026%7 Aug
inferno9–13-0.128%2 Aug
overpass14–16-0.049%2 Aug
dust213–110.0122%1 Aug
train13–50.049%1 Aug
train5–13-0.0915%23 Jul
italy6–13-0.0117%11 Jul
anubis10–13-0.0111%30 Jun
ancient15–150.018%23 Jun
anubis14–16-0.009%21 Jun
inferno9–13-0.0112%18 Jun
train13–90.028%18 Jun
nuke15–15-0.0213%17 Jun
train8–130.0112%16 Jun
office13–9-0.0314%13 Jun
agency9–13-0.078%13 Jun
inferno6–13-0.0410%13 Jun
office12–120.018%12 Jun
anubis6–13-0.086%11 Jun
dust23–13-0.1417%7 Jun
anubis15–150.0916%6 Jun
anubis13–80.1111%6 Jun
nuke13–80.028%6 Jun
inferno13–16-0.0410%5 Jun
inferno13–70.0214%5 Jun
ancient5–13-0.0612%4 Jun
nuke13–30.0018%4 Jun
train11–13-0.0115%3 Jun
anubis13–100.0115%3 Jun
ancient13–110.0314%31 May
nuke13–9-0.0215%31 May
nuke13–80.0714%30 May
inferno13–70.005%30 May
mirage15–15-0.0018%23 May
ancient13–60.0617%23 May
train13–50.1014%23 May
anubis13–40.0510%23 May
ancient11–130.1013%19 May
train13–90.029%17 May
nuke15–15-0.0412%17 May
office13–100.0113%16 May
nuke16–140.0211%16 May
inferno4–130.0318%16 May
office3–13-0.0211%16 May
ancient8–130.0619%15 May
dust210–130.0324%14 May
agency13–5-0.0322%13 May
brewery8–80.0116%13 May
office13–9-0.0511%10 May
office5–130.0127%10 May
grail13–80.0815%10 May
mirage13–70.0410%9 May
ancient13–16-0.069%8 May
grail13–60.0315%8 May
office13–11-0.0122%7 May
office11–13-0.0110%3 May
office13–10.0029%3 May
office13–40.0113%3 May
ancient10–13-0.0410%3 May
inferno7–13-0.0613%3 May
office13–40.0910%2 May
inferno11–130.0010%2 May
anubis13–70.0610%2 May
office7–13-0.0610%1 May
office8–13-0.0226%30 Apr

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 →