peddy

peddy — CS2 Stats

76561198171801079[U:1:211535351]Steam profile ↗✓ No bans

456Tracked matches45%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPositional Player
CSDB Leaderboard#14277 of 220531 tracked
FaceitLevel 8 · 1,652 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 31 days played since 23 Feb 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 25,619 +5,155 23 Feb18 Jan · 21 days played
19,88027,832peak 27,83223 Feb18 Jan
27,832Peak Premier in tracked matches
1,652Highest Faceit ELO seen on CSDB
31Days played since 2024-02-23

Faceit ELO

  • At peak — 1,652
  • Next: Level 9 at 1,751 99 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGpeddyFACEITLevel 8 · 1,652 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,652csdb.gg/stats

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Performance scores

Aim77
Positioning57
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY53452Last 10053%Win rateLTWWLLWWWL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · +2.6pp headshot accuracy · +9ms reaction

Win rate up 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

  • 221 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 18%
  • Avg reaction 559ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 595ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 590ms

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 PlayerPositioning stands above the rest of this profile (+2.8 against its own average).

Aim7.7
Utility5.2
Positioning5.7
Opening Duels0.8
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

sh1ro

Plays most like sh1ro 83% 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

Reaction time. 592ms 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

Aim7.7
Positioning5.7
Utility5.2
Mechanics7.1
Opening Duels0.6
Win Impact3.3

Composite 5.4/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time596ms−3ms
first ⅓ avg 599ms → last ⅓ avg 596ms
Headshot accuracy21.6%−5.4%
first ⅓ avg 27.0% → last ⅓ avg 21.6%

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

0.15Best match rating · 13–5 · office, 9 Feb
83%Best headshot accuracy · 0–13 · nuke, 14 Mar
375msFastest reaction time · 13–5 · ancient, 19 Dec
13–0Biggest win · train, 3 Dec

Across the last 100 tracked matches.

Highlights

6Longest win streak
810In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 73% over 11nukeWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
ancientA2112957%0.03
nukeC1871139%0.02
infernoA159660%0.03
overpassA149564%0.01
trainS118373%0.02
dust2C73443%-0.01
mirage4040%-0.01
anubis43175%0.05
vertigo2020%0.01
warden21150%0.05
alpine1010%-0.11
office110100%0.15

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches
70%Win rate
1.33Avg K/D
91.3ADR
50%Headshot %

Clutches & streaks

18%1v1 clutch win
50%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient367%1.6921.0
Inferno367%1.2215.3
Dust22100%1.4614.5
Nuke20%1.1819.5
Train2100%2.0816.0
Overpass1100%2.5528.0
Mirage10%1.1219.0

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.

21.3%Headshot accuracy
35.0%Accuracy (enemy spotted)
42.7%Spray accuracy
82.2%Counter-strafing
10.6°Preaim
592msReaction time
32.2%T opening success
32.7%CT opening success
0.62Enemies flashed / flash
7.5%Flash assists
7.41HE damage / grenade
6.06Flashes / 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. 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 32.1982% — below the 40% mark we flag

Spend your practice time on Nuke

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–130.1417%5 Mar
vertigo12–120.0317%5 Mar
inferno13–70.1222%5 Mar
inferno13–80.0919%17 Feb
alpine1–5-0.1113%14 Feb
warden11–130.0523%14 Feb
office13–50.1550%9 Feb
warden13–60.0529%9 Feb
nuke13–50.0617%18 Jan
overpass8–130.0132%18 Jan
ancient14–160.0433%18 Jan
nuke7–13-0.036%22 Dec
ancient13–6-0.0531%22 Dec
dust28–13-0.0418%22 Dec
ancient11–130.0514%22 Dec
train13–110.0215%21 Dec
inferno16–120.0328%21 Dec
overpass6–13-0.0118%21 Dec
ancient17–190.0418%21 Dec
mirage11–130.0131%21 Dec
overpass13–9-0.0022%20 Dec
train13–80.0615%20 Dec
dust213–20.0521%20 Dec
train10–13-0.0412%20 Dec
dust211–13-0.0118%20 Dec
ancient9–130.0417%20 Dec
nuke13–6-0.0115%20 Dec
inferno9–7-0.0324%20 Dec
train6–13-0.0721%20 Dec
overpass13–11-0.049%20 Dec
ancient5–13-0.0339%20 Dec
overpass3–130.0233%20 Dec
overpass13–100.0117%19 Dec
inferno13–40.0818%19 Dec
ancient13–50.0528%19 Dec
nuke13–11-0.0617%19 Dec
ancient13–20.0322%17 Dec
ancient13–40.0450%17 Dec
inferno7–13-0.0219%17 Dec
train13–40.0225%16 Dec
nuke8–130.0427%16 Dec
train13–30.0541%16 Dec
inferno13–40.0728%16 Dec
inferno7–13-0.0114%14 Dec
ancient7–130.0331%14 Dec
train13–60.0221%14 Dec
overpass13–110.0135%14 Dec
ancient11–130.0823%13 Dec
inferno13–110.0121%13 Dec
nuke8–130.0123%13 Dec
dust213–50.0124%13 Dec
train9–130.0216%13 Dec
mirage8–130.0440%12 Dec
nuke13–30.0118%12 Dec
ancient1–13-0.1019%12 Dec
ancient8–130.0226%11 Dec
train13–100.0117%11 Dec
ancient13–60.0615%10 Dec
overpass13–100.0524%10 Dec
overpass13–90.0112%10 Dec
overpass8–13-0.0617%7 Dec
inferno8–13-0.0214%7 Dec
nuke6–13-0.076%7 Dec
overpass13–30.1019%7 Dec
train13–30.0329%7 Dec
nuke13–80.0830%7 Dec
ancient13–5-0.0414%7 Dec
nuke13–60.0445%6 Dec
dust27–13-0.0633%6 Dec
inferno15–150.0117%5 Dec
ancient13–70.1324%5 Dec
inferno13–80.0728%5 Dec
overpass13–60.0325%4 Dec
inferno6–130.0226%4 Dec
ancient13–50.1422%4 Dec
mirage11–13-0.0118%4 Dec
dust213–100.1131%4 Dec
ancient13–70.0729%3 Dec
overpass7–130.0322%3 Dec
ancient13–20.0316%3 Dec
nuke10–130.0830%3 Dec
train13–00.0831%3 Dec
overpass13–6-0.0522%3 Dec
nuke7–130.0723%22 Feb
nuke16–120.0622%21 Feb
anubis13–30.0728%19 Mar
anubis13–80.0917%17 Mar
dust22–9-0.1113%15 Mar
vertigo0–2-0.010%15 Mar
nuke0–13-0.0583%14 Mar
inferno13–100.0231%5 Mar
ancient16–140.0123%5 Mar
inferno14–160.0619%4 Mar
mirage1–13-0.0844%4 Mar
anubis13–100.0526%4 Mar
ancient16–140.0831%4 Mar
nuke8–130.0624%4 Mar
nuke10–130.0226%24 Feb
anubis3–130.0134%24 Feb
nuke10–13-0.0227%23 Feb

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 →