Peqi

Peqi — CS2 Stats

76561197975155815[U:1:14890087]Steam profile ↗✓ No bans

1,705Tracked matches48%Win rate2020Tracked since
2,500Hours in CS9Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
CSDB Leaderboard#73055 of 251998 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,335 → 1,335
+28Tracked matches · now 1,705
+6.9ppWin rate · 41.4% → 48.3%

Rating over time

Premier CS Rating: 20,557 -2,484 23 Feb – 31 Aug · 22 days played
19,05423,041peak 23,04123 Feb31 Aug
23,041Peak Premier in tracked matches
1,335Highest Faceit ELO seen on CSDB
43Days played since 2026-02-23

Faceit ELO

  • At peak — 1,335
  • Next: Level 7 at 1,351 — 16 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-31
  • Level 5 first seen 2026-08-31

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.GGPeqiPEAK ELO1,335csdb.gg/stats

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Performance scores

Aim63
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateWLWLWLLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −2.3pp headshot accuracy · −20ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 610ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 606ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 615ms

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).

Aim6.3
Utility5.8
Positioning5.8
Opening Duels3.2
Clutch3.0

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

ZywOo

Plays most like ZywOo 82% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 614ms 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

Aim6.3
Positioning5.8
Utility5.8
Mechanics5.8
Opening Duels3.0
Win Impact4.4

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time617ms+8ms
first ⅓ avg 609ms → last ⅓ avg 617ms
Headshot accuracy14.2%−1.3%
first ⅓ avg 15.5% → last ⅓ avg 14.2%

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

0.10Best match rating · 13–3 · inferno, 13 Mar →
33%Best headshot accuracy · 3–13 · anubis, 8 May →
438msFastest reaction time · 13–9 · nuke, 12 Mar →
13–2Biggest win · ancient, 3 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 64% over 14cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC249–1538%-0.00
ancientC198–1142%-0.02
nukeD186–1233%-0.01
anubisA149–564%-0.00
mirageB105–550%-0.03
overpassD72–529%-0.04
cacheD51–420%0.01
dust2—31–233%-0.04

Across the last 100 tracked matches.

Lifetime stats

95,110Lifetime kills
1.22K/D · Top 25% of tracked players
3,593Matches
37.5%Match win rate
50.8%Headshot % · Top 25% of tracked players
14.3%Shot accuracy · Top 50% of tracked players
6,740MVPs
1,446Hours (in match)
1,963Bombs planted
793Bombs defused

Most-used weapons

AK-4739,964
AWP9,769
AUG2,121
MAC-101,667
SG 5531,493

Lifetime map wins

5,191nuke
5,008inferno
2,877train
1,955vertigo
1,928dust2
193lake
94office
68cbble

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

Faceit stats

Combat

439Matches
54%Win rate
1.10Avg K/D
79.3ADR
37%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient8657%1.0616.7
Nuke7851%1.2318.1
Anubis5567%1.2216.0
Mirage4248%1.0616.3
Inferno3355%0.8413.9
Dust21942%0.9716.1
Vertigo1747%1.1517.2
Overpass1436%1.0415.9

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.

14.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
40.6%Spray accuracy
76.1%Counter-strafing
10.4°Preaim
614msReaction time
41.1%T opening success
42.9%CT opening success
0.55Enemies flashed / flash
10.7%Flash assists
11.10HE damage / grenade
7.58Flashes / 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 14.5301% — below the 15% 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–80.002%27 Sept →
ancient8–130.0315%27 Sept →
ancient13–11-0.0115%27 Sept →
nuke11–13-0.0221%24 Sept →
anubis13–3-0.0217%24 Sept →
ancient6–13-0.0314%22 Sept →
cache9–130.0310%22 Sept →
ancient5–130.0112%19 Sept →
cache16–14-0.0210%13 Sept →
inferno13–40.0013%13 Sept →
inferno6–130.0420%2 Sept →
inferno9–50.0710%26 Aug →
nuke4–9-0.0913%26 Aug →
overpass3–9-0.2013%26 Aug →
inferno8–8-0.0910%26 Aug →
cache11–130.0220%25 Aug →
inferno13–100.0813%5 Aug →
inferno3–13-0.0113%5 Aug →
ancient13–100.0821%2 Aug →
cache12–120.0119%2 Aug →
anubis13–11-0.0017%1 Jul →
inferno13–10-0.017%1 Jul →
ancient13–5-0.0314%1 Jul →
anubis13–70.0214%1 Jul →
ancient8–130.0016%1 Jul →
inferno11–13-0.1013%1 Jul →
anubis13–8-0.0015%22 Jun →
ancient13–9-0.0213%22 Jun →
anubis3–13-0.0227%12 Jun →
inferno11–13-0.038%12 Jun →
ancient5–13-0.0610%12 Jun →
ancient6–13-0.0914%12 Jun →
nuke8–130.0122%26 May →
mirage13–3-0.0315%10 May →
cache5–130.0113%8 May →
nuke7–13-0.0110%8 May →
anubis3–13-0.1133%8 May →
inferno28–26-0.0117%7 May →
anubis11–130.0713%7 May →
ancient13–9-0.059%7 May →
nuke9–130.0119%7 May →
ancient13–2-0.0312%3 May →
dust25–13-0.0510%30 Apr →
nuke6–13-0.017%30 Apr →
nuke1–13-0.0714%30 Apr →
inferno5–13-0.0414%30 Apr →
mirage2–13-0.0910%30 Apr →
overpass4–13-0.0710%30 Apr →
ancient13–16-0.0213%29 Apr →
nuke13–70.0829%29 Apr →
mirage13–60.0016%29 Apr →
mirage13–11-0.0120%26 Apr →
inferno9–13-0.0316%22 Apr →
nuke14–16-0.076%21 Apr →
anubis13–100.0217%21 Apr →
anubis13–11-0.0218%19 Apr →
inferno9–13-0.0011%11 Apr →
inferno13–110.0821%11 Apr →
ancient13–50.0220%10 Apr →
nuke4–130.0414%7 Apr →
overpass13–7-0.0020%7 Apr →
nuke13–6-0.0229%7 Apr →
ancient12–120.0525%25 Mar →
dust213–11-0.0316%23 Mar →
mirage6–13-0.0817%22 Mar →
nuke13–9-0.0316%18 Mar →
anubis2–13-0.0114%16 Mar →
overpass13–50.0521%14 Mar →
inferno11–130.0114%14 Mar →
ancient13–16-0.0210%14 Mar →
inferno13–30.1021%13 Mar →
mirage9–130.0113%13 Mar →
dust24–13-0.0322%12 Mar →
anubis13–60.029%12 Mar →
nuke13–9-0.0211%12 Mar →
ancient13–50.0411%12 Mar →
nuke11–13-0.0317%10 Mar →
inferno10–130.0417%5 Mar →
mirage13–8-0.0317%4 Mar →
anubis9–2-0.0413%4 Mar →
mirage10–13-0.0313%4 Mar →
anubis13–100.018%1 Mar →
overpass5–13-0.0422%1 Mar →
inferno8–13-0.0616%1 Mar →
nuke1–13-0.0329%27 Feb →
anubis10–130.0415%27 Feb →
inferno11–130.0312%27 Feb →
inferno13–10-0.0111%27 Feb →
mirage8–13-0.0011%27 Feb →
ancient1–13-0.0920%27 Feb →
nuke13–6-0.077%27 Feb →
inferno6–13-0.0416%27 Feb →
mirage13–9-0.0116%27 Feb →
inferno7–130.0122%26 Feb →
inferno7–13-0.0914%26 Feb →
overpass8–130.0029%25 Feb →
ancient1–13-0.1118%25 Feb →
nuke13–60.1019%23 Feb →
overpass3–13-0.038%23 Feb →
nuke2–13-0.028%23 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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