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peekaboo — CS2 Stats

76561198089642199[U:1:129376471]

1,533Tracked matches58%Win rate2020Tracked since
CSDB Rating5.5 SolidEntry Fragger
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGpeekabooFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim51
Positioning68
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY53–37–10Last 10053%Win rateLLTLWWWWLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim5.1
Aggression10.0
Utility4.9
Positioning6.8
Opening Duels6.3

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

sh1ro

Plays most like sh1ro 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning6.8
Utility4.9
Mechanics3.1
Opening Duels6.3
Win Impact7.6

Composite 5.5/10 (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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time597ms+27ms
first ⅓ avg 570ms → last ⅓ avg 597ms
Headshot accuracy12.6%+1.9%
first ⅓ avg 10.7% → last ⅓ avg 12.6%

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.

Highlights

0.20Best rating — inferno 13–4
13–0Biggest win — nuke
8Longest win streak
L2Current streak
8–4In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 80% over 5infernoWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B4120–2149%0.01
nukeA2415–963%0.03
infernoC167–944%0.05
trainS64–267%0.04
ancientS54–180%-0.01
office—31–233%-0.02
cache—20–20%0.06
mirage—11–0100%0.07
anubis—11–0100%0.07
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

407Matches
50%Win rate
1.09Avg K/D
—ADR
32%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

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.

13.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
41.5%Spray accuracy
63.8%Counter-strafing
11.0°Preaim
595msReaction time
53.1%T opening success
57.1%CT opening success
0.59Enemies flashed / flash
2.3%Flash assists
5.26HE damage / grenade
12.74Flashes / 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 13.2852% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0211%18 Aug →
train1–6-0.090%18 Aug →
nuke12–120.0916%18 Aug →
dust23–13-0.127%18 Aug →
mirage13–90.0721%18 Aug →
anubis13–100.079%12 Aug →
inferno13–11-0.018%12 Aug →
nuke13–80.1412%12 Aug →
dust25–130.1318%12 Aug →
dust213–4-0.068%12 Aug →
dust212–120.0917%12 Aug →
ancient10–13-0.0212%12 Aug →
dust213–20.0620%12 Aug →
nuke13–70.0716%12 Aug →
dust213–60.107%12 Aug →
train13–100.021%12 Aug →
dust213–3-0.018%10 Aug →
vertigo1–9-0.0533%8 Aug →
train10–130.1510%8 Aug →
nuke13–8-0.0321%31 Jul →
dust212–120.1221%31 Jul →
inferno12–120.0413%31 Jul →
dust22–13-0.0616%31 Jul →
nuke13–80.0114%31 Jul →
dust23–13-0.0112%31 Jul →
inferno13–60.0721%29 Jul →
dust213–7-0.046%29 Jul →
nuke13–4-0.0418%29 Jul →
dust22–130.0215%29 Jul →
inferno3–90.056%27 Jul →
nuke2–13-0.115%27 Jul →
inferno10–130.018%26 Jul →
dust213–40.006%26 Jul →
ancient9–10.0414%26 Jul →
inferno11–130.0814%26 Jul →
train5–30.0311%26 Jul →
dust213–40.0010%26 Jul →
dust213–7-0.057%26 Jul →
dust213–80.0912%26 Jul →
train13–20.1118%26 Jul →
nuke1–8-0.060%25 Jul →
dust213–7-0.0118%25 Jul →
office13–10-0.033%25 Jul →
inferno7–13-0.079%25 Jul →
dust24–130.0519%25 Jul →
nuke13–50.046%25 Jul →
dust212–120.0213%25 Jul →
dust213–80.0526%25 Jul →
inferno11–130.0414%25 Jul →
dust211–13-0.0418%25 Jul →
ancient13–50.0016%24 Jul →
inferno8–130.0015%24 Jul →
dust210–13-0.0013%24 Jul →
nuke13–70.0211%24 Jul →
dust28–130.0121%24 Jul →
nuke13–100.0613%24 Jul →
dust24–6-0.070%24 Jul →
dust212–120.0416%24 Jul →
dust29–13-0.0217%23 Jul →
dust21–80.0338%23 Jul →
dust213–40.0714%23 Jul →
nuke12–12-0.0023%23 Jul →
dust213–11-0.0112%23 Jul →
inferno8–130.0910%23 Jul →
office0–13-0.064%23 Jul →
nuke13–3-0.026%22 Jul →
nuke12–120.0924%22 Jul →
inferno13–50.039%22 Jul →
nuke10–130.0212%22 Jul →
inferno13–80.1111%22 Jul →
nuke13–40.088%22 Jul →
dust213–110.0913%22 Jul →
nuke13–00.063%21 Jul →
ancient13–7-0.048%21 Jul →
nuke13–110.0511%21 Jul →
nuke13–20.079%21 Jul →
inferno13–60.0811%21 Jul →
nuke5–130.0919%21 Jul →
nuke13–110.1313%21 Jul →
dust213–11-0.027%21 Jul →
inferno13–7-0.018%21 Jul →
nuke7–130.0411%20 Jul →
dust29–13-0.057%20 Jul →
inferno10–130.059%20 Jul →
dust29–130.026%20 Jul →
cache0–50.119%20 Jul →
nuke3–13-0.0210%20 Jul →
ancient10–1-0.0314%20 Jul →
dust213–90.0212%20 Jul →
inferno13–40.2017%20 Jul →
nuke13–70.0513%20 Jul →
office6–130.027%20 Jul →
dust213–60.0424%20 Jul →
cache10–130.019%20 Jul →
train13–80.0412%20 Jul →
dust212–12-0.0312%20 Jul →
dust213–50.0511%20 Jul →
dust213–110.015%19 Jul →
dust213–60.0818%19 Jul →
dust212–120.037%19 Jul →

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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