charlie.why122

charlie.why122 — CS2 Stats

76561199384494417[U:1:1424228689]Steam profile ↗✓ No bans

629Tracked matches43%Win rate2025Tracked since
480Hours in CS33Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
WingmanSilver II
Ladder ranks via Leetify

Performance scores

Aim40
Positioning44
Utility45

0–100 skill scores via Leetify.

Recent form

COLD40–49–11Last 10040%Win rateLLWLLWLWLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +3.2pp headshot accuracy · −28ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 630ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 655ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 668ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim4.0
Utility4.5
Positioning4.4
Opening Duels3.4
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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

device

Plays most like device 75% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 648ms 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

Aim4.0
Positioning4.4
Utility4.5
Mechanics5.0
Opening Duels3.5
Win Impact2.6

Composite 4.1/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time654ms+10ms
first ⅓ avg 644ms → last ⅓ avg 654ms
Headshot accuracy14.6%+2.4%
first ⅓ avg 12.2% → last ⅓ avg 14.6%

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.

Personal bests

0.38Best match rating · 9–4 · inferno, 28 Oct →
33%Best headshot accuracy · 9–4 · inferno, 28 Oct →
469msFastest reaction time · 1–4 · vertigo, 3 Nov →
13–0Biggest win · anubis, 2 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–3In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 80% over 5anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
ancientB209–1145%-0.01
nukeC146–843%-0.02
vertigoB126–650%-0.02
dust2D123–925%-0.01
mirageD123–925%-0.02
anubisD112–918%-0.02
cacheB115–645%-0.03
infernoS54–180%0.07
train—22–0100%-0.02
overpass—10–10%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,293Lifetime kills
0.70K/D
790Matches
40.1%Match win rate
41.0%Headshot %
0.0%Shot accuracy
981MVPs
266Hours (in match)
499Bombs planted
84Bombs defused

Most-used weapons

Lifetime map wins

1,850dust2
1,058nuke
820inferno
186train
181vertigo
78office
7italy

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

Faceit stats

Combat

1Matches
100%Win rate
0.28Avg K/D
41.1ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%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.

13.8%Headshot accuracy
31.2%Accuracy (enemy spotted)
35.0%Spray accuracy
72.6%Counter-strafing
11.5°Preaim
648msReaction time
43.9%T opening success
44.4%CT opening success
0.38Enemies flashed / flash
3.4%Flash assists
8.14HE damage / grenade
11.73Flashes / 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 13.782% — 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 0.3783 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo1–4-0.0620%3 Nov →
dust21–130.0617%3 Nov →
inferno13–4-0.0714%2 Nov →
anubis2–13-0.069%2 Nov →
ancient6–13-0.0610%2 Nov →
anubis13–00.038%2 Nov →
mirage3–13-0.0215%1 Nov →
ancient13–50.0318%1 Nov →
vertigo2–11-0.0123%1 Nov →
mirage8–13-0.0118%1 Nov →
nuke4–13-0.0612%1 Nov →
vertigo13–2-0.035%1 Nov →
vertigo9–13-0.0421%1 Nov →
dust23–13-0.047%1 Nov →
mirage13–8-0.0413%31 Oct →
inferno13–60.0111%31 Oct →
dust212–12-0.0111%31 Oct →
dust213–90.0215%30 Oct →
anubis13–60.0411%30 Oct →
mirage10–130.0311%29 Oct →
dust29–13-0.0518%29 Oct →
cache5–13-0.0514%29 Oct →
vertigo3–13-0.1128%29 Oct →
inferno9–40.3833%28 Oct →
cache10–13-0.0415%28 Oct →
ancient4–13-0.0415%28 Oct →
cache13–40.0620%28 Oct →
vertigo13–5-0.029%28 Oct →
train13–1-0.0410%28 Oct →
mirage12–12-0.059%28 Oct →
mirage13–9-0.029%28 Oct →
vertigo7–130.0215%27 Oct →
anubis8–13-0.0517%27 Oct →
vertigo13–11-0.068%27 Oct →
dust210–13-0.0310%27 Oct →
vertigo13–110.058%27 Oct →
nuke3–13-0.0833%27 Oct →
ancient5–12-0.0110%27 Oct →
ancient13–30.0313%27 Oct →
nuke13–5-0.0614%26 Oct →
inferno13–50.0617%26 Oct →
anubis9–13-0.047%26 Oct →
ancient13–80.0411%25 Oct →
vertigo13–20.0917%25 Oct →
dust213–6-0.0613%25 Oct →
mirage2–13-0.0218%25 Oct →
vertigo13–10-0.0610%24 Oct →
overpass11–13-0.048%24 Oct →
ancient13–10-0.0811%24 Oct →
anubis12–12-0.0311%24 Oct →
nuke4–130.016%24 Oct →
ancient13–6-0.0311%24 Oct →
anubis12–12-0.0311%24 Oct →
vertigo12–120.0212%24 Oct →
cache6–13-0.0413%24 Oct →
mirage13–70.0920%24 Oct →
nuke12–12-0.0417%22 Oct →
nuke13–11-0.0510%22 Oct →
dust212–12-0.0020%22 Oct →
ancient7–13-0.0126%21 Oct →
nuke12–120.0812%21 Oct →
ancient10–10-0.015%19 Oct →
anubis2–10-0.055%19 Oct →
mirage8–13-0.058%19 Oct →
nuke5–13-0.0815%19 Oct →
cache9–13-0.0311%19 Oct →
ancient6–13-0.0311%19 Oct →
ancient6–130.017%19 Oct →
ancient13–20.0416%19 Oct →
ancient4–13-0.0615%19 Oct →
ancient13–60.1012%19 Oct →
dust213–10-0.0714%17 Oct →
anubis5–13-0.0215%17 Oct →
dust212–120.0615%17 Oct →
mirage12–12-0.025%17 Oct →
nuke13–6-0.023%16 Oct →
inferno11–13-0.029%16 Oct →
cache4–13-0.0318%16 Oct →
ancient3–13-0.0910%16 Oct →
mirage2–13-0.1214%15 Oct →
nuke12–12-0.0321%14 Oct →
nuke9–130.0814%14 Oct →
nuke13–30.024%14 Oct →
ancient13–70.0713%14 Oct →
cache10–13-0.0613%13 Oct →
ancient13–10-0.008%13 Oct →
ancient6–13-0.0520%13 Oct →
cache13–5-0.0118%13 Oct →
mirage2–13-0.0414%13 Oct →
dust210–13-0.0111%12 Oct →
cache13–11-0.037%12 Oct →
nuke13–10-0.068%12 Oct →
anubis9–13-0.026%12 Oct →
anubis7–13-0.028%9 Oct →
train13–90.014%9 Oct →
cache13–8-0.0217%9 Oct →
nuke13–50.0513%9 Oct →
cache13–11-0.0323%8 Oct →
dust24–13-0.048%8 Oct →
ancient6–13-0.0521%8 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.