William T.

William T. — CS2 Stats

DE76561198331449787[U:1:371184059]Steam profile ↗

1,521Tracked matches41%Win rate2022Tracked since
2,563Hours in CS30Hrs last 2 wks
CSDB Rating4.5 Developing
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#23925 of 39164 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate32.4%44.2%47.1%14.7% short
Shot accuracy9.1%11.6%12.8%3.7% short
Kill/death ratio0.841.031.080.24 short
Match win rate46.6%45.2%46.6%meets

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGWilliam T.PREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning34
Utility54

0–100 skill scores via Leetify.

Recent form

COLD54433Last 10054%Win rateLWLLLWLTWL

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

Player DNA

Aim5.7
Aggression3.2
Utility5.4
Positioning3.4
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-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

T-side openings. Opening success drops from 45% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim5.7
Positioning3.4
Utility5.4
Mechanics5.7
Opening Duels1.9
Win Impact2.1

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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time602ms−2ms
first ⅓ avg 604ms → last ⅓ avg 602ms
Headshot accuracy13.9%+3.7%
first ⅓ avg 10.1% → last ⅓ avg 13.9%

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 — inferno 13–2
130Biggest win — ancient
7Longest win streak
711In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 80% over 5infernoWeakest map · 45% over 31
MapGradePlayedRecordWin rateAvg rating
infernoB31141745%-0.04
dust2B20101050%-0.03
mirageA1911858%-0.02
anubisA116555%-0.02
nukeA74357%-0.05
ancientS54180%-0.01
office32167%-0.04
cache32167%-0.03
vertigo110100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 31). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,089Lifetime kills
0.84K/D
3,069Matches
46.6%Match win rate · Top 50% of Purple band
32.4%Headshot %
9.1%Shot accuracy
6,085MVPs
1,284Hours (in match)
4,286Bombs planted
687Bombs defused

Most-used weapons

Lifetime map wins

9,392dust2
5,651inferno
1,379nuke
897vertigo
429office
268train
264cbble
79lake

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
0.64Avg K/D
47.8ADR
24%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.9211.0
Dust210%0.357.0

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.

12.5%Headshot accuracy
33.2%Accuracy (enemy spotted)
38.3%Spray accuracy
75.8%Counter-strafing
9.8°Preaim
604msReaction time
15.4%T opening success
44.8%CT opening success
0.62Enemies flashed / flash
9.4%Flash assists
12.51HE damage / grenade
2.98Flashes / 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 12.5155% — 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 2.9822 — 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 15.4374% — 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.

45% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.053%29 Aug
anubis13–70.0222%29 Aug
anubis11–13-0.073%28 Aug
mirage11–13-0.0010%28 Aug
inferno12–16-0.066%27 Aug
office13–10.0416%27 Aug
dust28–13-0.0214%27 Aug
mirage15–150.0111%27 Aug
mirage13–50.0221%27 Aug
inferno13–16-0.0412%26 Aug
dust26–13-0.0121%26 Aug
anubis13–6-0.0316%26 Aug
inferno11–13-0.027%26 Aug
inferno13–110.058%25 Aug
dust210–13-0.0414%25 Aug
anubis10–13-0.0013%25 Aug
mirage3–13-0.0213%24 Aug
mirage14–160.0221%24 Aug
inferno14–16-0.0713%22 Aug
anubis6–130.008%22 Aug
mirage13–8-0.0611%22 Aug
inferno13–11-0.0613%22 Aug
inferno13–11-0.0713%20 Aug
mirage13–9-0.0711%19 Aug
anubis3–13-0.114%19 Aug
mirage13–11-0.099%18 Aug
anubis5–13-0.027%18 Aug
dust214–16-0.048%18 Aug
office12–11-0.0917%17 Aug
dust213–8-0.0336%17 Aug
mirage1–13-0.1224%17 Aug
dust27–13-0.0315%15 Aug
mirage8–13-0.0640%12 Aug
nuke10–13-0.085%11 Aug
inferno13–9-0.0013%11 Aug
dust214–16-0.0313%11 Aug
inferno6–13-0.0925%11 Aug
anubis13–8-0.068%11 Aug
dust213–10-0.029%11 Aug
dust213–9-0.0223%11 Aug
inferno6–13-0.0315%10 Aug
dust213–7-0.0010%10 Aug
inferno13–7-0.0611%9 Aug
nuke15–15-0.0310%9 Aug
inferno5–13-0.0535%9 Aug
cache4–13-0.0713%9 Aug
inferno13–20.099%9 Aug
inferno11–13-0.0213%9 Aug
inferno15–15-0.0811%9 Aug
inferno13–20.0119%8 Aug
inferno13–3-0.0518%8 Aug
dust213–100.0113%8 Aug
mirage13–10-0.0117%7 Aug
vertigo13–80.0814%7 Aug
anubis16–13-0.006%7 Aug
dust213–6-0.0118%7 Aug
dust24–13-0.0113%7 Aug
ancient13–00.013%7 Aug
mirage13–6-0.0124%6 Aug
dust21–13-0.118%6 Aug
ancient13–4-0.023%6 Aug
mirage13–60.0413%4 Aug
nuke13–9-0.032%4 Aug
dust213–10-0.044%4 Aug
inferno13–10-0.0310%3 Aug
mirage13–40.0014%2 Aug
dust24–13-0.0620%2 Aug
inferno13–6-0.075%2 Aug
mirage13–70.028%2 Aug
nuke1–13-0.1114%2 Aug
inferno14–160.094%2 Aug
inferno6–13-0.119%31 Jul
inferno13–7-0.0322%31 Jul
nuke13–80.0117%31 Jul
ancient13–70.0020%31 Jul
inferno2–9-0.1733%31 Jul
inferno0–9-0.200%31 Jul
anubis13–50.0316%30 Jul
dust213–7-0.0320%30 Jul
nuke13–9-0.055%30 Jul
dust213–20.019%30 Jul
cache13–11-0.007%30 Jul
dust216–12-0.056%29 Jul
ancient13–4-0.040%29 Jul
ancient7–13-0.0210%28 Jul
mirage16–120.0514%26 Jul
dust211–13-0.066%26 Jul
anubis13–80.027%26 Jul
cache13–9-0.019%25 Jul
nuke13–4-0.0313%25 Jul
inferno5–13-0.077%25 Jul
inferno9–13-0.082%24 Jul
mirage13–10-0.029%24 Jul
inferno14–16-0.0411%24 Jul
mirage5–13-0.0115%24 Jul
office3–13-0.0811%23 Jul
inferno13–10-0.024%23 Jul
inferno9–7-0.025%23 Jul
mirage9–13-0.057%23 Jul
inferno13–6-0.008%23 Jul

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 →