Peacewalker

Peacewalker — CS2 Stats

FR76561198134972598[U:1:174706870]Steam profile ↗✓ No bans

596Tracked matches41%Win rate2020Tracked since
2,982Hours in CS3Hrs last 2 wks
CSDB Rating5.6 SolidClutch Specialist
CSDB Leaderboard#74399 of 259459 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,637 -2,483 27 Feb – 10 May · 17 days played
20,63723,786peak 23,78627 Feb10 May
23,901Peak Premier in tracked matches
51Days played since 2026-02-27

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 Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate43.1%44.8%45.7%2.6% short
Shot accuracy18.2%12.4%12.7%above
Kill/death ratio1.231.031.05above
Match win rate46.5%45.2%45.7%meets

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPeacewalkerFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning54
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY41–53–6Last 10041%Win rateWLLLLWWLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −2.5pp headshot accuracy · −20ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 661ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 607ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 617ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim7.6
Utility4.3
Positioning5.4
Opening Duels1.8
Clutch8.2

Limited utility dependenceReliable in 1v1s

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

iM

Plays most like iM 97% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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. 606ms 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

Aim7.6
Positioning5.4
Utility4.3
Mechanics8.1
Opening Duels2.0
Win Impact1.9

Composite 5.6/10 (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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time601ms−9ms
first ⅓ avg 610ms → last ⅓ avg 601ms
Headshot accuracy19.3%−0.3%
first ⅓ avg 19.5% → last ⅓ avg 19.3%

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

0.22Best match rating · 13–2 · cache, 25 Jul →
67%Best headshot accuracy · 5–0 · inferno, 16 Apr →
391msFastest reaction time · 13–2 · cache, 25 Jul →
13–2Biggest win · cache, 25 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 64% over 22dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheC2510–1540%0.04
infernoA2214–864%0.02
ancientD154–1127%-0.02
overpassC114–736%-0.01
nukeC104–640%0.03
dust2D82–625%0.01
anubisC52–340%-0.01
mirage—20–20%-0.01
vertigo—11–0100%0.01
office—10–10%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,596Lifetime kills
1.23K/D · Top 25% of Level 6 players
3,836Matches
46.5%Match win rate · Top 50% of Level 6 players
43.1%Headshot %
18.2%Shot accuracy · Top 10% of Level 6 players
8,852MVPs
1,704Hours (in match)
4,330Bombs planted
866Bombs defused

Most-used weapons

AWP20,385
AK-4717,528
Negev3,081
P2502,889
UMP-451,925

Lifetime map wins

8,211inferno
7,369dust2
3,614nuke
1,528cbble
1,008train
671vertigo
135office
48dust

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

Faceit stats

Combat

259Matches
50%Win rate
1.12Avg K/D
81.9ADR
42%Headshot %

Clutches & streaks

61%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2748%1.0715.9
Nuke1080%1.1115.0
Ancient1060%1.2115.8
Overpass850%1.1115.9
Mirage771%1.1320.0
Dust2560%1.6518.6
Vertigo560%1.3618.6
Train560%1.3416.6

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.

19.1%Headshot accuracy
38.0%Accuracy (enemy spotted)
40.3%Spray accuracy
86.5%Counter-strafing
11.3°Preaim
606msReaction time
40.3%T opening success
36.0%CT opening success
0.52Enemies flashed / flash
5.0%Flash assists
6.98HE damage / grenade
2.64Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.6441 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.0387% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0227%26 Oct →
ancient6–13-0.0115%26 Oct →
overpass9–130.0716%22 Oct →
cache7–13-0.0112%22 Oct →
mirage7–13-0.0223%16 Oct →
nuke13–30.0316%16 Oct →
inferno13–90.0216%16 Oct →
inferno9–13-0.0116%15 Oct →
anubis8–13-0.0113%15 Oct →
ancient13–5-0.0115%14 Oct →
cache15–150.0019%14 Oct →
cache13–110.0824%2 Oct →
inferno12–120.0122%2 Oct →
ancient8–130.0323%15 Sept →
inferno6–130.0224%31 Aug →
anubis13–8-0.0217%26 Aug →
anubis13–11-0.0011%28 Jul →
dust26–130.0520%27 Jul →
cache7–13-0.0117%27 Jul →
ancient9–13-0.0519%25 Jul →
inferno6–130.0019%25 Jul →
cache13–20.2223%25 Jul →
inferno13–8-0.0220%11 Jul →
dust213–60.0813%11 Jul →
ancient6–130.0528%7 Jul →
ancient10–130.0023%1 Jul →
inferno13–80.0830%30 Jun →
inferno12–12-0.0218%29 Jun →
cache7–130.0117%29 Jun →
cache2–13-0.0818%24 Jun →
cache8–130.0222%17 Jun →
inferno9–13-0.0126%17 Jun →
overpass13–110.0416%10 Jun →
cache8–13-0.0517%10 Jun →
overpass12–120.0519%6 Jun →
cache13–110.0326%6 Jun →
overpass13–6-0.0222%4 Jun →
cache13–100.0720%19 May →
cache13–50.0827%18 May →
cache11–130.0522%18 May →
cache10–130.0521%17 May →
inferno13–80.0220%12 May →
vertigo13–70.0118%12 May →
cache12–120.0624%12 May →
cache13–60.0427%12 May →
cache13–80.0718%11 May →
cache6–130.0521%10 May →
cache12–120.0123%10 May →
dust213–70.0119%10 May →
ancient6–13-0.0813%10 May →
office10–13-0.0030%6 May →
dust22–13-0.0212%6 May →
cache13–7-0.0022%6 May →
cache11–130.0927%1 May →
cache10–130.0721%30 Apr →
cache13–110.0218%30 Apr →
cache13–100.0313%29 Apr →
cache9–13-0.0519%28 Apr →
nuke14–16-0.0113%27 Apr →
inferno13–100.0114%27 Apr →
overpass11–13-0.0516%27 Apr →
anubis9–130.0219%26 Apr →
inferno10–130.0010%26 Apr →
nuke11–130.0215%26 Apr →
nuke9–13-0.0223%23 Apr →
overpass9–13-0.0711%21 Apr →
ancient4–13-0.068%21 Apr →
inferno13–80.0431%21 Apr →
nuke13–100.0518%19 Apr →
overpass8–13-0.0423%19 Apr →
inferno13–40.0417%19 Apr →
ancient13–50.0528%17 Apr →
nuke11–130.0724%17 Apr →
dust210–130.0321%16 Apr →
inferno5–00.0467%16 Apr →
anubis8–13-0.0222%11 Apr →
nuke13–110.0615%11 Apr →
ancient9–13-0.0012%11 Apr →
inferno13–70.0415%22 Mar →
nuke13–110.0516%22 Mar →
ancient0–13-0.160%21 Mar →
overpass9–13-0.0614%21 Mar →
ancient10–130.0520%21 Mar →
inferno13–70.0524%21 Mar →
inferno5–130.0117%20 Mar →
nuke9–130.1011%20 Mar →
inferno13–50.0216%18 Mar →
nuke0–8-0.0710%18 Mar →
mirage7–13-0.0122%16 Mar →
inferno13–60.1020%16 Mar →
dust29–130.0132%16 Mar →
ancient13–11-0.029%16 Mar →
dust27–13-0.0214%15 Mar →
overpass13–30.0219%14 Mar →
overpass13–40.0332%14 Mar →
ancient13–11-0.0316%14 Mar →
ancient9–13-0.0516%13 Mar →
inferno13–90.0919%2 Mar →
dust210–13-0.0616%27 Feb →
overpass9–13-0.0411%27 Feb →

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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