PelotaWiles — CS2 Stats

76561199497368221[U:1:1537102493]✓ No bans

3,595Tracked matches54%Win rate2023Tracked since
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating23,046Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#9808 of 44768 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGPelotaWilesPREMIER23,046 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning53
Utility62

0–100 skill scores via Leetify.

Recent form

HOT43534Last 10043%Win rateWWWWLLWWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.1
Aggression5.8
Utility6.2
Positioning5.3
Opening Duels1.5

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 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Counter-strafing. Only 68% 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

Aim8.1
Positioning5.3
Utility6.2
Mechanics4.1
Opening Duels1.5
Win Impact6.2

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time434ms−31ms
first ⅓ avg 465ms → last ⅓ avg 434ms
Headshot accuracy17.1%+0.9%
first ⅓ avg 16.2% → last ⅓ avg 17.1%

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 — inferno 9–0
133Biggest win — inferno
5Longest win streak
W4Current streak
710In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 59% over 17vertigoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
officeD1861233%0.03
mirageA1710759%-0.01
infernoC167944%0.00
dust2C114736%-0.03
cacheC94544%-0.00
ancientD93633%0.03
nukeB84450%-0.01
vertigoD61517%0.02
anubis31233%-0.02
train220100%0.01
fachwerk110100%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.7%Headshot accuracy
35.8%Accuracy (enemy spotted)
39.6%Spray accuracy
68.3%Counter-strafing
8.3°Preaim
435msReaction time
33.9%T opening success
37.9%CT opening success
0.62Enemies flashed / flash
6.3%Flash assists
9.90HE damage / grenade
11.70Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.8529% — below the 40% mark we flag

Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–3-0.0517%29 Aug
mirage13–11-0.0026%28 Aug
cache13–100.0616%28 Aug
mirage13–100.0721%28 Aug
mirage10–13-0.0110%27 Aug
dust214–16-0.0512%27 Aug
cache13–11-0.019%27 Aug
mirage13–11-0.0120%27 Aug
nuke13–9-0.0323%27 Aug
ancient10–13-0.0120%27 Aug
dust211–13-0.0423%26 Aug
inferno13–11-0.0212%26 Aug
vertigo2–12-0.0139%25 Aug
mirage13–10-0.0414%25 Aug
dust213–9-0.0614%25 Aug
inferno7–13-0.006%25 Aug
mirage11–13-0.0329%25 Aug
office6–130.0113%25 Aug
cache9–13-0.0324%24 Aug
ancient13–90.0622%24 Aug
nuke10–13-0.0220%24 Aug
inferno7–130.0518%24 Aug
office12–120.0723%24 Aug
office12–120.0413%24 Aug
nuke13–80.0016%24 Aug
anubis3–13-0.0814%23 Aug
cache13–90.0320%22 Aug
inferno4–13-0.056%21 Aug
cache13–60.0324%21 Aug
inferno13–4-0.0210%20 Aug
vertigo10–130.086%20 Aug
mirage16–12-0.049%20 Aug
nuke13–10-0.0414%20 Aug
ancient3–130.0229%20 Aug
office9–13-0.0110%19 Aug
office12–120.0017%19 Aug
mirage13–6-0.0019%19 Aug
office13–110.0424%19 Aug
mirage16–13-0.007%18 Aug
cache4–13-0.0421%18 Aug
nuke13–90.0118%18 Aug
nuke7–13-0.014%18 Aug
mirage12–160.0215%18 Aug
office12–50.0324%18 Aug
vertigo11–130.057%18 Aug
train13–100.0614%13 Aug
inferno6–130.0015%13 Aug
train13–7-0.038%12 Aug
office9–130.0913%12 Aug
office13–60.0719%12 Aug
inferno3–9-0.0519%11 Aug
inferno9–00.1613%11 Aug
dust213–70.0815%11 Aug
cache9–13-0.0429%11 Aug
ancient6–13-0.046%11 Aug
anubis13–10-0.0010%11 Aug
office10–130.0615%11 Aug
office12–12-0.0216%10 Aug
cache2–13-0.0917%10 Aug
dust216–14-0.0411%10 Aug
mirage13–7-0.0011%10 Aug
inferno3–00.0125%10 Aug
office11–130.0322%10 Aug
mirage3–13-0.0124%9 Aug
nuke11–130.0418%8 Aug
ancient5–130.0511%6 Aug
dust24–13-0.0912%6 Aug
ancient13–110.0412%6 Aug
dust211–13-0.028%5 Aug
ancient11–130.0315%5 Aug
ancient13–30.0614%5 Aug
mirage13–80.019%5 Aug
mirage13–8-0.0015%5 Aug
office13–100.0516%4 Aug
office13–40.0421%4 Aug
office2–13-0.059%4 Aug
inferno8–130.0524%4 Aug
office4–00.1442%4 Aug
fachwerk13–5-0.039%4 Aug
vertigo4–13-0.044%3 Aug
dust29–13-0.0210%2 Aug
vertigo13–90.0110%2 Aug
vertigo11–130.0411%2 Aug
inferno3–130.0820%31 Jul
ancient11–130.0312%31 Jul
inferno6–130.0121%29 Jul
cache10–130.0415%29 Jul
nuke9–130.0020%29 Jul
dust23–13-0.0322%29 Jul
mirage6–13-0.0424%29 Jul
mirage2–13-0.0625%29 Jul
office10–130.0412%29 Jul
dust27–13-0.0110%28 Jul
inferno16–120.0213%28 Jul
inferno13–10-0.0225%27 Jul
mirage9–130.0028%27 Jul
inferno5–13-0.1023%27 Jul
anubis5–130.0317%26 Jul
office10–13-0.004%26 Jul
dust213–7-0.0514%25 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 →