Allegedly

Allegedly — CS2 Stats

US76561198113604606[U:1:153338878]Steam profile ↗✓ No bans

1,337Tracked matches36%Win rate2020Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating13,815Blue band · top ~34.7% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,815 -2,967 22 Aug – 15 Oct · 37 days played
13,81518,958peak 18,95822 Aug15 Oct
19,843Peak Premier in tracked matches
37Days played since 2026-08-22

Premier CS Rating

  • 5,143 below peak (18,958)
  • -3,436 over 30 days · declining
  • Next: Purple band at 15,000 — 1,185 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGAllegedlyPREMIER13,815 · Blue bandcsdb.gg/stats

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Performance scores

Aim74
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLLLLWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +0.9pp headshot accuracy · −16ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 567ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 570ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 578ms

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 (+1.9 against its own average).

Aim7.4
Utility5.6
Positioning5.3
Opening Duels1.0
Clutch3.0

Limited utility dependence

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 589ms 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

Aim7.4
Positioning5.3
Utility5.6
Mechanics6.9
Opening Duels2.1
Win Impact0.2

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time595ms+23ms
first ⅓ avg 573ms → last ⅓ avg 595ms
Headshot accuracy11.9%+1.9%
first ⅓ avg 10.0% → last ⅓ avg 11.9%

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.

Personal bests

0.08Best match rating · 3–13 · ancient, 11 Sept →
25%Best headshot accuracy · 13–0 · ancient, 9 Oct →
398msFastest reaction time · 13–0 · ancient, 9 Oct →
13–0Biggest win · ancient, 9 Oct →

Across the last 100 tracked matches.

Highlights

17Longest win streak
L4Current streak
11–6In matches decided by ≤2 rounds
18Overtime games

Map breakdown

cacheBest map · 69% over 16dust2Weakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientB168–850%0.01
cacheS1611–569%-0.03
dust2D155–1033%-0.01
anubisA159–660%-0.01
mirageC135–838%-0.01
infernoC104–640%-0.01
nukeC83–538%-0.01
vertigo—43–175%-0.01
train—21–150%0.00
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

36Matches
56%Win rate
0.92Avg K/D
76.0ADR
32%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2743%1.0814.7
Mirage743%1.0315.6
Cache560%0.7111.0
Nuke475%1.1016.3
Anubis333%0.8114.3
Inferno1100%1.2918.0
Overpass1100%2.8317.0
Vertigo1100%1.0023.0

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.

11.6%Headshot accuracy
41.6%Accuracy (enemy spotted)
41.1%Spray accuracy
81.1%Counter-strafing
10.1°Preaim
589msReaction time
39.5%T opening success
37.0%CT opening success
0.52Enemies flashed / flash
11.9%Flash assists
11.48HE damage / grenade
3.47Flashes / 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 11.618% — 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 3.4664 — 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 39.4751% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.045%15 Oct →
nuke11–13-0.019%15 Oct →
dust23–130.0014%13 Oct →
dust214–160.0514%12 Oct →
dust213–30.0316%10 Oct →
cache13–6-0.045%10 Oct →
mirage8–13-0.0113%9 Oct →
mirage13–6-0.0215%9 Oct →
ancient13–00.0725%9 Oct →
nuke9–130.0213%8 Oct →
cache13–5-0.0412%7 Oct →
nuke4–13-0.0616%2 Oct →
inferno10–130.008%1 Oct →
vertigo16–140.018%30 Sept →
cache7–13-0.0415%30 Sept →
inferno15–150.0114%28 Sept →
dust210–13-0.0110%25 Sept →
ancient7–13-0.0514%22 Sept →
anubis13–100.008%22 Sept →
anubis3–13-0.0415%21 Sept →
dust23–13-0.128%18 Sept →
anubis15–15-0.0313%18 Sept →
inferno13–11-0.019%18 Sept →
ancient16–140.0113%18 Sept →
dust27–13-0.0315%18 Sept →
cache10–13-0.0414%16 Sept →
cache3–13-0.0917%16 Sept →
nuke10–13-0.0211%16 Sept →
ancient16–130.035%16 Sept →
inferno11–130.039%15 Sept →
dust23–13-0.0111%15 Sept →
mirage13–8-0.0010%14 Sept →
mirage13–8-0.0012%13 Sept →
dust216–140.0013%12 Sept →
dust213–100.029%12 Sept →
inferno13–30.023%12 Sept →
mirage13–110.049%12 Sept →
cache13–7-0.026%12 Sept →
vertigo13–11-0.0515%12 Sept →
cache3–00.080%12 Sept →
anubis13–10-0.0411%12 Sept →
overpass13–3-0.025%12 Sept →
cache13–11-0.0815%11 Sept →
vertigo13–50.0318%11 Sept →
anubis16–130.026%11 Sept →
nuke13–80.0513%11 Sept →
mirage16–140.0211%11 Sept →
dust213–6-0.0013%11 Sept →
ancient3–130.089%11 Sept →
ancient6–130.068%11 Sept →
cache13–9-0.045%11 Sept →
vertigo9–13-0.0411%11 Sept →
train13–11-0.069%11 Sept →
cache13–10-0.0410%11 Sept →
cache9–13-0.025%9 Sept →
ancient10–130.0114%9 Sept →
nuke9–13-0.097%9 Sept →
ancient10–130.039%9 Sept →
nuke13–50.0210%9 Sept →
mirage4–13-0.0516%9 Sept →
mirage6–13-0.017%9 Sept →
dust24–13-0.0918%8 Sept →
inferno6–13-0.023%7 Sept →
cache0–13-0.056%6 Sept →
anubis8–13-0.0516%5 Sept →
ancient15–15-0.017%4 Sept →
inferno13–6-0.0414%4 Sept →
dust213–160.0317%3 Sept →
anubis16–12-0.0210%2 Sept →
dust22–7-0.056%2 Sept →
mirage10–130.0213%1 Sept →
anubis12–16-0.026%1 Sept →
anubis13–60.0217%1 Sept →
ancient13–5-0.0412%1 Sept →
inferno14–16-0.019%1 Sept →
ancient6–13-0.029%1 Sept →
nuke13–8-0.0310%1 Sept →
anubis13–110.0410%1 Sept →
inferno13–8-0.078%1 Sept →
cache13–70.057%1 Sept →
anubis13–11-0.0519%31 Aug →
mirage15–15-0.0410%31 Aug →
cache13–4-0.0510%31 Aug →
ancient13–7-0.009%31 Aug →
anubis11–130.025%31 Aug →
dust213–8-0.019%31 Aug →
mirage15–150.0210%31 Aug →
ancient13–50.036%31 Aug →
anubis13–10-0.009%30 Aug →
ancient13–70.0210%30 Aug →
inferno12–160.0211%29 Aug →
ancient13–6-0.003%29 Aug →
cache13–100.0317%28 Aug →
dust25–130.036%26 Aug →
mirage5–13-0.0724%26 Aug →
anubis13–100.067%26 Aug →
cache13–5-0.038%26 Aug →
train12–120.069%26 Aug →
mirage9–13-0.025%25 Aug →
anubis14–16-0.0610%22 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches17-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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