pegasw0w

pegasw0w — CS2 Stats

TT76561198060356479[U:1:100090751]Steam profile ↗✓ No bans

547Tracked matches52%Win rate2020Tracked since
3,322Hours in CS19Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating13,289Blue band · top ~37.5% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 547 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,289 -1,596 6 Oct – 13 Nov · 5 days played
13,28914,885peak 14,8856 Oct13 Nov
14,999Peak Premier in tracked matches
20Days played since 2026-10-04

Premier CS Rating

  • 1,596 below peak (14,885)
  • -817 over 30 days · declining
  • Next: Purple band at 15,000 — 1,711 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-11-13
  • Light Blue band first seen 2026-11-13

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate45.9%42.0%44.4%above
Shot accuracy16.6%9.6%11.9%above
Kill/death ratio1.010.981.030.02 short
Match win rate65.8%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGpegasw0wPREMIER13,289 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning50
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateLLLTLWWWWW

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · −0.7pp headshot accuracy · −27ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 600ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 594ms

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: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim6.4
Utility3.0
Positioning5.0
Opening Duels2.3
Clutch0.0

Strong CT-side opener

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

donk

Plays most like donk 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 581ms 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

Aim6.4
Positioning5.0
Utility3.0
Mechanics5.8
Opening Duels4.8
Win Impact5.6

Composite 5.0/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time589ms−16ms
first ⅓ avg 605ms → last ⅓ avg 589ms
Headshot accuracy16.4%−2.1%
first ⅓ avg 18.5% → last ⅓ avg 16.4%

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

0.20Best match rating · 13–5 · office, 7 Oct →
42%Best headshot accuracy · 13–2 · office, 30 Oct →
406msFastest reaction time · 13–7 · office, 13 Oct →
13–0Biggest win · anubis, 7 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
5–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 89% over 9ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheD155–1033%0.02
anubisD134–931%-0.03
officeA117–464%0.02
mirageB115–645%0.00
ancientD103–730%0.04
nukeS98–189%0.06
dust2A95–456%-0.00
overpassC73–443%0.04
infernoB63–350%0.04
poseidon—31–233%0.01
train—31–233%-0.01
eldorado—20–20%-0.03
vertigo—11–0100%0.10

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,175Lifetime kills
1.01K/D · Top 50% of Blue band
10,063Matches
65.8%Match win rate · Top 1% of Blue band
45.9%Headshot % · Top 50% of Blue band
16.6%Shot accuracy · Top 25% of Blue band
10,319MVPs
2,273Hours (in match)
4,519Bombs planted
1,300Bombs defused

Most-used weapons

AK-4728,383
AWP10,743
Negev3,739
FAMAS3,369
P2503,283

Lifetime map wins

7,575dust2
5,451inferno
2,079nuke
1,609train
1,576cbble
549vertigo
511office
289lake

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

Faceit stats

Combat

229Matches
55%Win rate
1.06Avg K/D
65.7ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWL

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.

17.0%Headshot accuracy
31.4%Accuracy (enemy spotted)
35.2%Spray accuracy
76.2%Counter-strafing
8.6°Preaim
581msReaction time
46.0%T opening success
52.1%CT opening success
0.33Enemies flashed / flash
7.6%Flash assists
6.93HE damage / grenade
5.29Flashes / 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. 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 0.3333 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0911%12 Nov →
anubis4–13-0.0517%12 Nov →
eldorado7–9-0.017%10 Nov →
eldorado8–8-0.0418%10 Nov →
poseidon5–9-0.0013%10 Nov →
poseidon9–50.0319%10 Nov →
overpass9–40.1315%10 Nov →
vertigo9–40.1027%10 Nov →
nuke9–40.1913%10 Nov →
office13–40.0115%10 Nov →
anubis13–70.0314%10 Nov →
cache13–8-0.029%10 Nov →
inferno12–12-0.0214%10 Nov →
train6–12-0.0424%7 Nov →
inferno1–9-0.0827%7 Nov →
cache7–13-0.0033%7 Nov →
dust213–100.0119%7 Nov →
mirage13–10.0313%7 Nov →
mirage1–13-0.094%6 Nov →
dust29–13-0.054%6 Nov →
cache15–15-0.0014%2 Nov →
dust213–90.0422%2 Nov →
anubis11–13-0.082%2 Nov →
nuke5–13-0.0312%2 Nov →
nuke9–70.0516%1 Nov →
poseidon5–90.0025%1 Nov →
inferno9–70.1522%1 Nov →
dust213–30.0617%31 Oct →
cache13–2-0.0111%31 Oct →
mirage10–13-0.0229%31 Oct →
train13–100.028%31 Oct →
ancient13–40.1926%31 Oct →
nuke13–20.0422%31 Oct →
office13–2-0.0442%30 Oct →
cache4–90.029%30 Oct →
dust213–10-0.0130%30 Oct →
ancient3–130.0517%30 Oct →
nuke13–50.0626%30 Oct →
ancient12–12-0.0515%29 Oct →
mirage10–130.0316%29 Oct →
mirage13–10.0726%29 Oct →
anubis5–13-0.0315%29 Oct →
cache7–130.0615%29 Oct →
office12–120.0622%29 Oct →
office13–100.0125%29 Oct →
dust21–13-0.0029%26 Oct →
mirage13–10.017%26 Oct →
office4–13-0.0324%26 Oct →
ancient5–130.0125%26 Oct →
cache12–120.0219%26 Oct →
inferno9–20.1815%21 Oct →
office13–110.0623%21 Oct →
ancient7–13-0.0116%21 Oct →
anubis4–13-0.0416%21 Oct →
anubis3–13-0.0415%21 Oct →
nuke13–50.1414%21 Oct →
nuke13–110.0511%21 Oct →
nuke13–70.1319%19 Oct →
inferno13–50.0812%19 Oct →
anubis5–13-0.0218%19 Oct →
ancient9–10.1514%19 Oct →
cache12–12-0.0113%19 Oct →
office7–13-0.0418%19 Oct →
overpass2–130.1216%17 Oct →
dust25–13-0.0229%17 Oct →
office12–12-0.0312%17 Oct →
anubis7–130.0214%17 Oct →
ancient5–13-0.0110%17 Oct →
cache10–13-0.0019%17 Oct →
mirage13–40.0012%15 Oct →
nuke13–9-0.0618%15 Oct →
anubis13–80.0414%15 Oct →
cache7–130.0220%15 Oct →
ancient5–13-0.0013%15 Oct →
overpass5–130.0319%15 Oct →
anubis8–13-0.0613%13 Oct →
office13–70.0330%13 Oct →
cache8–13-0.0220%13 Oct →
overpass13–40.0217%13 Oct →
overpass7–13-0.0816%9 Oct →
mirage12–30.0316%9 Oct →
inferno0–13-0.077%9 Oct →
ancient7–13-0.025%9 Oct →
mirage10–130.0213%9 Oct →
cache13–10-0.0229%7 Oct →
anubis13–00.0130%7 Oct →
overpass13–30.0716%7 Oct →
office13–50.2016%7 Oct →
train5–13-0.0023%7 Oct →
ancient13–20.0724%7 Oct →
mirage3–13-0.0014%6 Oct →
dust213–7-0.0520%6 Oct →
cache12–120.0824%6 Oct →
anubis13–4-0.0126%6 Oct →
mirage4–13-0.0812%6 Oct →
cache13–100.0535%5 Oct →
dust25–13-0.0122%5 Oct →
overpass12–120.0119%4 Oct →
cache13–110.0619%4 Oct →
office13–100.0215%4 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 →

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