PvPeder

PvPeder — CS2 Stats

CG76561197996502985[U:1:36237257]Steam profile ↗✓ No bans

2,115Tracked matches47%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 10 · 2,176 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGPvPederFACEITLevel 10 · 2,176 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning58
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWLLLLWLLWW

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +2.9pp headshot accuracy · +5ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 23%
  • Avg reaction 522ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 549ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 547ms

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 (+1.3 against its own average).

Aim8.1
Utility6.3
Positioning5.8
Opening Duels4.4
Clutch3.6

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

ZywOo

Plays most like ZywOo 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 555ms 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

Aim8.1
Positioning5.8
Utility6.3
Mechanics6.2
Opening Duels4.6
Win Impact3.9

Composite 6.3/10 (Solid), 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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time559ms−51ms
first ⅓ avg 610ms → last ⅓ avg 559ms
Headshot accuracy21.3%+3.9%
first ⅓ avg 17.4% → last ⅓ avg 21.3%

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

0.41Best match rating · 9–4 · nuke, 24 Feb →
35%Best headshot accuracy · 13–10 · inferno, 6 Mar →
359msFastest reaction time · 13–8 · inferno, 2 Oct →
13–1Biggest win · nuke, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 76% over 17mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeS1713–476%0.05
overpassS1611–569%0.01
infernoS129–375%-0.02
anubisC114–736%0.02
cacheD103–730%-0.01
dust2C94–544%0.01
ancientC94–544%0.00
mirageD71–614%0.00
trainS64–267%0.02
vertigo—22–0100%0.02
biome—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,245Matches
55%Win rate
0.99Avg K/D
81.4ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke47063%1.0515.9
Dust231453%0.9415.3
Inferno26150%1.0116.2
Ancient26145%0.9815.8
Anubis25551%1.0216.3
Overpass19455%0.9916.2
Train18768%1.1315.9
Mirage8251%0.9515.6

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.

21.1%Headshot accuracy
38.2%Accuracy (enemy spotted)
42.8%Spray accuracy
77.7%Counter-strafing
10.1°Preaim
555msReaction time
43.5%T opening success
53.4%CT opening success
0.53Enemies flashed / flash
7.8%Flash assists
10.87HE damage / grenade
10.47Flashes / match

Recommended for you

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–60.2931%21 Oct →
anubis9–130.0822%21 Oct →
mirage8–130.1017%21 Oct →
dust210–130.0529%19 Oct →
cache7–13-0.0219%18 Oct →
nuke13–10.0333%10 Oct →
cache7–130.0134%5 Oct →
cache8–13-0.0615%5 Oct →
cache13–110.019%28 Sept →
dust213–50.0521%19 Sept →
anubis13–110.0518%12 Sept →
dust22–13-0.0516%11 Sept →
dust213–110.0114%8 Sept →
ancient13–30.0916%3 Sept →
anubis9–130.0430%3 Sept →
inferno13–50.1027%3 Sept →
nuke13–70.1029%16 Aug →
vertigo13–8-0.0024%7 Aug →
nuke13–4-0.0412%3 Aug →
anubis7–130.0015%25 Jul →
anubis8–13-0.0114%17 Jul →
ancient10–13-0.0019%13 Jul →
mirage9–13-0.0225%12 Jul →
cache9–13-0.0120%12 Jul →
mirage12–16-0.0433%9 Jul →
cache13–11-0.0618%7 Jul →
inferno9–13-0.0624%24 Jun →
nuke13–4-0.0318%23 May →
ancient10–13-0.0611%22 May →
overpass13–20.0223%17 May →
anubis13–30.0627%15 May →
mirage13–50.0519%14 May →
inferno11–130.0023%11 May →
cache9–13-0.0011%10 May →
nuke10–130.0232%10 May →
cache11–130.0226%10 May →
nuke12–160.0018%9 May →
nuke12–16-0.0426%7 May →
anubis13–110.0719%5 May →
cache5–13-0.0212%1 May →
cache13–90.0328%29 Apr →
anubis9–130.0424%16 Apr →
nuke13–50.1026%15 Apr →
mirage6–13-0.0319%14 Apr →
nuke13–40.0726%30 Mar →
dust223–25-0.0219%25 Mar →
nuke13–30.0015%23 Mar →
overpass16–130.0514%22 Mar →
train13–60.1514%18 Mar →
ancient5–13-0.0518%13 Mar →
ancient13–90.0112%12 Mar →
nuke13–7-0.0422%12 Mar →
ancient4–130.0223%11 Mar →
nuke13–110.0314%10 Mar →
dust211–130.0017%8 Mar →
inferno13–10-0.0935%6 Mar →
overpass16–140.0322%1 Mar →
nuke9–40.4120%24 Feb →
anubis13–5-0.0218%22 Feb →
dust213–90.0318%20 Feb →
overpass5–13-0.059%19 Feb →
overpass13–3-0.0327%14 Feb →
inferno7–13-0.0631%13 Feb →
anubis11–13-0.0227%10 Feb →
overpass13–50.0532%5 Feb →
nuke13–8-0.0114%5 Feb →
overpass13–9-0.0119%5 Feb →
mirage10–13-0.0313%18 Jan →
anubis10–13-0.0514%14 Jan →
overpass13–7-0.0113%17 Dec →
ancient13–100.0420%12 Dec →
inferno13–11-0.0018%11 Dec →
overpass7–13-0.0019%13 Nov →
ancient7–13-0.0216%30 Oct →
dust211–12-0.0522%20 Oct →
nuke9–130.0130%8 Oct →
inferno13–8-0.076%2 Oct →
dust213–100.0421%28 Sept →
overpass13–100.007%28 Sept →
overpass13–110.0715%26 Sept →
inferno28–26-0.0017%23 Sept →
train10–13-0.0313%18 Sept →
overpass11–13-0.0312%1 Sept →
overpass13–80.0225%28 Aug →
inferno16–130.0122%27 Aug →
nuke13–7-0.0015%19 Aug →
inferno13–8-0.0118%19 Aug →
overpass6–13-0.0110%28 Jul →
train3–13-0.0025%27 Jul →
overpass13–50.0614%23 Jul →
overpass12–16-0.0210%21 Jul →
inferno13–80.0022%21 Jul →
ancient13–10-0.0012%21 Jul →
train13–110.0114%17 Jul →
biome1–13-0.0923%15 Jul →
vertigo13–50.0423%15 Jul →
inferno13–11-0.0726%10 Jul →
train13–6-0.0716%10 Jul →
mirage10–13-0.0022%6 Jul →
train13–40.0819%6 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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