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peter♿ — CS2 Stats

76561198262486706[U:1:302220978]

860Tracked matches44%Win rate2021Tracked since
1,878Hours in CS2Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGpeter♿FACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning46
Utility73

0–100 skill scores via Leetify.

Recent form

COLD40–47–13Last 10040%Win rateWWTLTLTLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim4.8
Aggression4.5
Utility7.3
Positioning4.6
Opening Duels1.3
Clutch2.2

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.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 674ms 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

Aim4.8
Positioning4.6
Utility7.3
Mechanics6.2
Opening Duels1.8
Win Impact3.0

Composite 4.9/10 (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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time688ms+14ms
first ⅓ avg 674ms → last ⅓ avg 688ms
Headshot accuracy17.7%−5.8%
first ⅓ avg 23.4% → last ⅓ avg 17.7%

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.

Highlights

0.16Best rating — dust2 13–3
13–1Biggest win — mirage
7Longest win streak
W2Current streak
6–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 50% over 18cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C3113–1842%-0.00
mirageC198–1142%-0.03
infernoB189–950%-0.02
nukeC83–538%-0.03
overpassC73–443%-0.00
cacheD50–50%-0.01
ancientD51–420%-0.01
anubis—31–233%-0.05
train—20–20%-0.04
office—11–0100%0.07
warden—11–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

35,708Lifetime kills
1.04K/D
2,133Matches
42.8%Match win rate
46.1%Headshot % · Top 50% of tracked players
10.7%Shot accuracy
4,046MVPs
723Hours (in match)
2,264Bombs planted
366Bombs defused

Most-used weapons

AK-4711,990
M4A4 / M4A1-S6,219
Desert Eagle2,283
AWP2,193
P2000 / USP-S2,099
SSG 081,769
Glock-181,531
Galil AR881
MP9857
MP7837

Lifetime map wins

4,976dust2
2,338inferno
949nuke
722train
410vertigo
197cbble
114office
83lake

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

Faceit stats

Combat

49Matches
41%Win rate
0.86Avg K/D
77.8ADR
43%Headshot %

Clutches & streaks

31%1v1 clutch win
28%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1839%0.9613.7
Dust2825%0.8611.8
Ancient667%0.9813.7
Inferno540%0.6310.0
Vertigo450%0.7012.8
Anubis333%0.7411.0
Nuke250%0.9611.0

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.

18.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.4%Spray accuracy
78.1%Counter-strafing
12.0°Preaim
674msReaction time
25.9%T opening success
44.5%CT opening success
0.62Enemies flashed / flash
7.2%Flash assists
11.86HE damage / grenade
17.66Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.044° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0415%17 Aug →
office13–80.0727%17 Aug →
cache12–120.0225%15 Aug →
mirage13–16-0.0512%20 Jul →
nuke8–8-0.0318%15 Jul →
dust20–9-0.097%21 Jun →
cache12–120.0622%2 May →
cache5–13-0.0530%1 May →
cache9–13-0.028%1 May →
cache4–13-0.0513%1 May →
inferno7–13-0.0519%13 Apr →
warden13–8-0.0321%13 Apr →
dust212–12-0.0628%13 Apr →
dust27–130.0324%5 Apr →
overpass13–8-0.0912%24 Mar →
anubis6–13-0.0814%23 Mar →
dust27–13-0.0819%23 Mar →
dust213–110.0620%14 Mar →
ancient10–130.1220%14 Mar →
overpass13–8-0.0020%14 Mar →
inferno13–7-0.0414%4 Mar →
mirage12–12-0.0118%3 Mar →
nuke13–8-0.0510%3 Mar →
inferno7–0-0.090%3 Mar →
dust213–20.0019%3 Mar →
nuke11–13-0.0111%3 Mar →
dust211–13-0.0623%3 Mar →
inferno13–30.0021%3 Mar →
mirage12–120.0129%3 Mar →
inferno11–13-0.0026%3 Mar →
inferno9–13-0.0415%3 Mar →
overpass6–13-0.028%3 Mar →
mirage13–60.0415%26 Feb →
dust29–130.0341%26 Feb →
mirage7–13-0.0814%17 Feb →
inferno13–4-0.0221%17 Feb →
dust213–60.0139%17 Feb →
mirage13–4-0.0712%17 Feb →
dust27–13-0.0116%17 Feb →
inferno13–5-0.0513%17 Feb →
dust213–60.0217%16 Feb →
ancient13–11-0.0419%16 Feb →
anubis11–13-0.0621%15 Feb →
dust213–9-0.0522%15 Feb →
mirage11–13-0.0322%15 Feb →
inferno4–130.0013%14 Feb →
mirage16–130.0221%14 Feb →
dust210–13-0.0229%14 Feb →
dust27–130.0524%13 Feb →
mirage13–9-0.0220%11 Feb →
inferno12–12-0.0118%11 Feb →
inferno2–70.0328%11 Feb →
ancient8–13-0.058%3 Feb →
nuke15–15-0.0220%31 Jan →
mirage2–13-0.088%30 Jan →
dust213–11-0.022%30 Jan →
dust213–90.0212%30 Jan →
dust213–11-0.0024%30 Jan →
inferno13–6-0.0218%26 Jan →
anubis16–14-0.0130%25 Jan →
dust213–30.1625%22 Jan →
dust213–30.0317%22 Jan →
mirage12–12-0.0516%20 Jan →
dust212–12-0.0218%20 Jan →
inferno12–120.0515%20 Jan →
mirage8–13-0.0615%20 Jan →
overpass6–13-0.0514%20 Jan →
dust216–13-0.0233%18 Jan →
train4–13-0.0612%18 Jan →
dust210–13-0.0133%18 Jan →
mirage6–13-0.0229%18 Jan →
dust27–13-0.1210%11 Jan →
inferno16–130.0021%11 Jan →
ancient5–13-0.0327%11 Jan →
dust214–16-0.0025%11 Jan →
inferno6–13-0.0523%9 Jan →
dust25–13-0.0340%9 Jan →
mirage13–1-0.0631%21 Dec →
dust23–13-0.0026%21 Dec →
dust28–130.0319%21 Dec →
inferno11–13-0.0419%16 Dec →
nuke13–30.1035%16 Dec →
mirage1–13-0.0124%16 Dec →
inferno13–40.0415%16 Dec →
mirage9–13-0.0218%5 Dec →
ancient11–13-0.0418%5 Dec →
dust213–50.0326%3 Dec →
nuke8–13-0.0915%1 Dec →
dust216–140.0118%1 Dec →
nuke13–6-0.0422%28 Nov →
mirage13–8-0.0227%25 Nov →
dust28–130.0120%25 Nov →
train6–13-0.0136%25 Nov →
overpass9–130.0514%25 Nov →
overpass5–00.0650%25 Nov →
mirage13–5-0.0324%15 Nov →
overpass15–150.0324%13 Nov →
nuke2–13-0.075%13 Nov →
inferno13–8-0.0410%3 Nov →
dust212–12-0.0126%3 Nov →

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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