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Sidhu Moose Wala — CS2 Stats

76561197995135086[U:1:34869358]✓ No bans

132Tracked matches37%Win rate2022Tracked since
CSDB Rating2.5 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGSidhu Moose WalaFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim24
Positioning30
Utility53

0–100 skill scores via Leetify.

Recent form

COLD42–50–8Last 10042%Win rateLLLLWWWLLL

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

Player DNA

Aim2.4
Aggression3.5
Utility5.3
Positioning3.0
Opening Duels0.2
Clutch6.8

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 72% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

CT openings. Opening success drops from 38% on T to 23% on CT — first contacts on the defending side are being lost.

Reaction time. 632ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim2.4
Positioning3.0
Utility5.3
Mechanics1.4
Opening Duels1.1
Win Impact0.7

Composite 2.5/10 (Learning), 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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time622ms−48ms
first ⅓ avg 670ms → last ⅓ avg 622ms
Headshot accuracy9.8%−3.4%
first ⅓ avg 13.3% → last ⅓ avg 9.8%

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

0.12Best rating — inferno 13–7
13–2Biggest win — mirage
4Longest win streak
L4Current streak
6–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 53% over 15nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C4016–2440%-0.03
mirageB199–1047%-0.03
ancientB157–847%-0.03
infernoB158–753%-0.03
nukeD61–517%-0.03
anubis—31–233%-0.05
cache—10–10%-0.05
vertigo—10–10%-0.09

Across the last 100 tracked matches.

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

Faceit stats

Combat

18Matches
28%Win rate
0.67Avg K/D
62.3ADR
36%Headshot %

Clutches & streaks

54%1v1 clutch win
8%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage850%0.7011.5
Dust240%0.599.8
Inferno333%0.6210.3
Ancient20%0.7812.5
Cache10%0.5910.0

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.

9.7%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.1%Spray accuracy
56.2%Counter-strafing
12.4°Preaim
632msReaction time
38.5%T opening success
22.9%CT opening success
0.61Enemies flashed / flash
2.2%Flash assists
11.65HE damage / grenade
7.92Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4449° — above the 12° mark we flag

    Aim Training →
  2. 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 9.7264% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0112%1 Aug →
ancient9–13-0.0011%1 Aug →
dust21–13-0.059%1 Aug →
inferno11–13-0.048%31 Jul →
ancient13–11-0.072%31 Jul →
dust213–9-0.028%30 Jul →
inferno13–10-0.058%30 Jul →
ancient1–13-0.1012%28 Jul →
mirage1–13-0.056%28 Jul →
dust21–13-0.088%28 Jul →
inferno13–11-0.0016%17 Jul →
dust29–130.0012%17 Jul →
dust212–12-0.0316%17 Jul →
inferno8–13-0.094%17 Jul →
dust24–13-0.098%17 Jul →
mirage8–0-0.034%17 Jul →
dust28–130.033%17 Jul →
dust213–110.017%16 Jul →
mirage13–80.0216%16 Jul →
mirage3–13-0.0520%11 Jul →
mirage13–9-0.0713%10 Jul →
mirage13–8-0.0412%2 Jul →
mirage12–12-0.068%2 Jul →
ancient13–4-0.0110%2 Jul →
ancient14–160.036%1 Jul →
dust215–15-0.0115%1 Jul →
inferno2–13-0.0814%29 Jun →
nuke13–16-0.0513%23 Jun →
inferno11–13-0.086%23 Jun →
dust27–13-0.053%22 Jun →
inferno13–3-0.006%22 Jun →
dust213–11-0.0510%22 Jun →
mirage15–15-0.0219%22 Jun →
mirage9–13-0.0315%22 Jun →
mirage7–13-0.065%22 Jun →
mirage7–2-0.0250%21 Jun →
ancient13–9-0.047%21 Jun →
inferno10–13-0.0318%21 Jun →
dust25–13-0.0518%21 Jun →
inferno4–13-0.0617%19 Jun →
ancient9–13-0.0513%19 Jun →
mirage13–20.054%19 Jun →
nuke9–13-0.0210%19 Jun →
dust26–130.0317%19 Jun →
anubis13–5-0.0414%17 Jun →
dust29–13-0.0517%17 Jun →
dust23–13-0.105%17 Jun →
mirage15–15-0.0817%16 Jun →
ancient4–13-0.0614%16 Jun →
anubis10–13-0.072%16 Jun →
ancient16–14-0.0420%16 Jun →
dust28–13-0.057%16 Jun →
dust213–9-0.0219%7 Jun →
inferno13–9-0.019%7 Jun →
dust29–13-0.0127%7 Jun →
inferno13–6-0.059%6 Jun →
dust29–13-0.058%6 Jun →
inferno11–30.0118%6 Jun →
dust28–13-0.0019%6 Jun →
inferno13–70.128%3 Jun →
dust27–130.0121%3 Jun →
dust213–80.0120%3 Jun →
mirage9–13-0.0513%1 Jun →
mirage13–30.0121%31 May →
ancient10–13-0.0513%31 May →
mirage5–13-0.0611%31 May →
dust213–4-0.0035%31 May →
nuke4–13-0.0821%31 May →
ancient13–70.046%31 May →
anubis8–13-0.048%29 May →
ancient15–15-0.0510%29 May →
dust210–13-0.0517%28 May →
mirage13–10-0.057%28 May →
inferno13–5-0.019%27 May →
nuke5–13-0.058%27 May →
nuke13–100.049%27 May →
ancient6–13-0.0411%27 May →
dust213–20.0511%27 May →
mirage13–30.0410%27 May →
dust213–5-0.0219%26 May →
dust213–90.0229%21 May →
cache1–13-0.056%13 May →
dust22–13-0.073%13 May →
dust21–13-0.0925%10 May →
dust213–10-0.0132%20 Feb →
dust24–130.0016%17 Feb →
dust213–70.0114%14 Feb →
dust213–11-0.0716%11 Feb →
dust25–13-0.100%4 Feb →
dust213–8-0.0617%2 Feb →
ancient4–70.0026%28 Jan →
nuke8–8-0.0311%26 Jan →
mirage5–13-0.0614%8 Dec →
dust213–30.017%7 Dec →
inferno7–13-0.0315%6 Dec →
vertigo8–13-0.0911%21 Dec →
ancient13–5-0.019%13 Nov →
dust28–8-0.1215%19 Feb →
dust29–3-0.028%19 Feb →
dust29–4-0.0318%3 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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