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pitcharias diversas — CS2 Stats

76561197988338440[U:1:28072712]

4,674Tracked matches45%Win rate2020Tracked since
CSDB Rating3.8 Learning
Premier CS Rating22,648Top 50% of 819 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#5541 of 19876 tracked
FaceitLevel 10 · 2,237 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGpitcharias diversasFACEITLevel 10 · 2,237 ELOSTANDINGTop 12.4% of rankedPREMIER22,648 · Pink bandcsdb.gg/stats

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Performance scores

Aim45
Positioning24
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLLLWWLWWL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim4.5
Aggression0.6
Utility5.1
Positioning2.4
Opening Duels0.0
Clutch3.4

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 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 34% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 694ms 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

Aim4.5
Positioning2.4
Utility5.1
Mechanics5.0
Opening Duels0.5
Win Impact3.3

Composite 3.8/10 (Learning), 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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time694ms+24ms
first ⅓ avg 670ms → last ⅓ avg 694ms
Headshot accuracy17.2%−0.4%
first ⅓ avg 17.7% → last ⅓ avg 17.2%

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.

Highlights

0.08Best rating — dust2 1–2
13–0Biggest win — cache
6Longest win streak
L4Current streak
6–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B3315–1845%-0.01
infernoC198–1142%-0.02
mirageA1610–663%-0.02
cacheB136–746%-0.02
ancientD93–633%-0.04
anubisS64–267%0.01
nuke—44–0100%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,698Matches
50%Win rate
0.95Avg K/D
79.2ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient44850%0.9215.4
Dust243854%0.9414.9
Anubis33448%0.8914.3
Mirage31246%0.9014.8
Inferno23849%0.9414.3
Vertigo21751%0.9515.8
Nuke11947%0.9515.4
Train2171%0.8213.6

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.

16.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
41.0%Spray accuracy
72.5%Counter-strafing
11.7°Preaim
694msReaction time
16.3%T opening success
34.3%CT opening success
0.68Enemies flashed / flash
5.1%Flash assists
10.16HE damage / grenade
3.37Flashes / 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 3.3741 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 16.2757% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache14–16-0.0516%26 Aug →
inferno4–13-0.0411%26 Aug →
inferno11–13-0.0417%25 Aug →
mirage14–16-0.0967%22 Aug →
mirage13–9-0.0013%22 Aug →
nuke10–4-0.1118%22 Aug →
ancient6–13-0.0921%22 Aug →
ancient13–60.0216%22 Aug →
anubis13–40.0618%22 Aug →
ancient7–13-0.0513%22 Aug →
mirage13–11-0.140%21 Aug →
anubis1–13-0.047%21 Aug →
dust213–5-0.0117%20 Aug →
dust215–15-0.0219%20 Aug →
nuke13–9-0.048%20 Aug →
nuke13–5-0.0710%20 Aug →
mirage13–5-0.034%20 Aug →
dust21–13-0.1019%20 Aug →
inferno9–130.0421%20 Aug →
inferno13–7-0.0315%18 Aug →
dust210–13-0.0023%18 Aug →
dust23–13-0.0715%17 Aug →
dust24–13-0.0615%17 Aug →
dust211–130.0324%17 Aug →
mirage13–40.0520%17 Aug →
mirage13–40.0315%17 Aug →
anubis9–13-0.0115%17 Aug →
dust26–13-0.087%16 Aug →
mirage6–13-0.0218%16 Aug →
dust213–8-0.0414%16 Aug →
dust27–13-0.0119%16 Aug →
cache4–13-0.0826%16 Aug →
cache15–15-0.0826%16 Aug →
dust27–00.0730%16 Aug →
inferno13–4-0.0319%16 Aug →
mirage13–11-0.0217%16 Aug →
mirage13–11-0.0423%15 Aug →
cache13–8-0.037%15 Aug →
dust213–70.0520%15 Aug →
inferno8–13-0.0420%15 Aug →
dust210–13-0.0419%15 Aug →
inferno13–4-0.0314%15 Aug →
dust213–11-0.0114%15 Aug →
inferno9–13-0.0321%15 Aug →
cache10–130.0235%15 Aug →
anubis13–50.0028%15 Aug →
dust213–6-0.0011%14 Aug →
inferno4–130.0219%14 Aug →
mirage13–80.0122%14 Aug →
dust213–100.0117%14 Aug →
anubis10–10.0728%14 Aug →
ancient13–40.0326%14 Aug →
mirage10–13-0.0118%13 Aug →
dust210–13-0.0628%13 Aug →
dust21–13-0.0510%13 Aug →
dust213–6-0.0532%13 Aug →
inferno13–6-0.0529%11 Aug →
dust210–13-0.0222%11 Aug →
inferno16–130.0418%11 Aug →
cache13–6-0.0136%11 Aug →
cache13–7-0.0121%11 Aug →
cache6–13-0.0015%10 Aug →
inferno13–3-0.0022%10 Aug →
mirage13–30.0114%10 Aug →
inferno7–13-0.0616%10 Aug →
dust213–7-0.0028%9 Aug →
dust213–70.0427%9 Aug →
inferno15–15-0.0617%7 Aug →
cache13–8-0.0718%6 Aug →
ancient10–13-0.0220%6 Aug →
dust213–110.0418%6 Aug →
ancient11–13-0.0510%5 Aug →
mirage5–13-0.0416%5 Aug →
inferno5–13-0.0723%4 Aug →
inferno13–50.0323%4 Aug →
mirage8–13-0.0421%4 Aug →
dust213–40.0218%4 Aug →
mirage13–50.0716%3 Aug →
dust211–130.0222%3 Aug →
dust213–110.0015%3 Aug →
inferno14–16-0.0124%3 Aug →
cache4–13-0.0530%3 Aug →
dust21–20.0830%2 Aug →
cache13–00.0426%2 Aug →
dust210–13-0.0126%29 Jul →
dust215–15-0.0122%29 Jul →
ancient6–13-0.0013%29 Jul →
dust214–16-0.058%29 Jul →
mirage10–13-0.0812%28 Jul →
inferno13–30.0013%28 Jul →
dust213–8-0.0211%28 Jul →
dust26–13-0.0115%28 Jul →
ancient14–16-0.1114%28 Jul →
inferno8–13-0.0611%28 Jul →
cache13–100.0810%27 Jul →
ancient13–4-0.0433%27 Jul →
anubis13–100.0122%27 Jul →
cache0–13-0.090%26 Jul →
dust213–3-0.049%26 Jul →
nuke13–7-0.0318%24 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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