Red Pikmin — CS2 Stats

76561198079746226[U:1:119480498]✓ No bans

1,674Tracked matches71%Win rate2024Tracked since
CSDB Rating3.4 Learning
Premier CS Rating7,081Light Blue band · top ~68.9% of ranked players (population est.)
CSDB Leaderboard#25245 of 33424 tracked
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGRed PikminPREMIER7,081 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim25
Positioning38
Utility45

0–100 skill scores via Leetify.

Recent form

HOT58375Last 10058%Win rateLWWWWLWLWW

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

Player DNA

Aim2.5
Aggression4.1
Utility4.5
Positioning3.8
Opening Duels1.2

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 75% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim2.5
Positioning3.8
Utility4.5
Mechanics2.4
Opening Duels1.8
Win Impact10.0

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time660ms−46ms
first ⅓ avg 706ms → last ⅓ avg 660ms
Headshot accuracy11.4%−1.0%
first ⅓ avg 12.4% → last ⅓ avg 11.4%

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

0.13Best rating — mirage 6–13
130Biggest win — train
6Longest win streak
127In matches decided by ≤2 rounds

Map breakdown

officeBest map · 73% over 11cacheWeakest map · 50% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B27141352%-0.01
mirageS1711665%-0.02
nukeB137654%-0.02
officeS118373%-0.02
infernoA116555%-0.04
trainS64267%-0.00
cacheB63350%-0.01
vertigoA53260%-0.03
anubis32167%-0.06
ancient1010%0.01

Across the last 100 tracked matches.

Skill profile

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

11.1%Headshot accuracy
32.9%Accuracy (enemy spotted)
43.6%Spray accuracy
60.6%Counter-strafing
15.4°Preaim
655msReaction time
25.4%T opening success
44.3%CT opening success
0.60Enemies flashed / flash
10.5%Flash assists
12.14HE damage / grenade
4.01Flashes / 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 15.3853° — 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 11.1086% — below the 15% mark we flag

    Aim Training

Recent matches

MapScoreRatingHS%Date
office5–13-0.056%29 Aug
mirage13–2-0.0717%29 Aug
train13–00.0918%29 Aug
dust213–60.0211%29 Aug
cache13–50.0416%27 Aug
cache5–13-0.0417%27 Aug
office13–5-0.014%26 Aug
inferno9–130.0119%26 Aug
mirage13–11-0.0215%25 Aug
inferno13–7-0.034%24 Aug
mirage11–130.014%24 Aug
train13–10-0.058%24 Aug
inferno3–13-0.099%24 Aug
dust20–50.0311%24 Aug
mirage13–40.0113%22 Aug
dust213–90.012%22 Aug
dust212–12-0.0014%20 Aug
dust213–11-0.0514%20 Aug
mirage13–3-0.0217%19 Aug
inferno13–11-0.094%19 Aug
office13–60.0213%19 Aug
nuke13–90.0115%18 Aug
office11–13-0.070%17 Aug
train13–40.1019%17 Aug
dust213–8-0.025%17 Aug
inferno13–10.0017%17 Aug
vertigo9–13-0.0911%15 Aug
office13–60.0115%15 Aug
nuke13–5-0.037%15 Aug
dust212–12-0.0319%15 Aug
mirage7–0-0.025%15 Aug
dust213–90.0414%13 Aug
train6–13-0.0917%12 Aug
train13–110.0010%12 Aug
office13–5-0.0214%11 Aug
cache12–12-0.0015%11 Aug
dust211–13-0.073%11 Aug
dust213–11-0.017%10 Aug
nuke13–10.0814%10 Aug
dust213–8-0.0420%7 Aug
dust211–13-0.0511%5 Aug
inferno9–13-0.124%5 Aug
mirage13–5-0.0813%5 Aug
office13–10-0.0815%4 Aug
nuke13–5-0.029%4 Aug
mirage4–13-0.0626%3 Aug
nuke11–13-0.079%3 Aug
nuke7–13-0.0519%3 Aug
nuke5–13-0.054%3 Aug
dust29–130.0313%3 Aug
cache13–9-0.0214%2 Aug
dust213–100.0619%2 Aug
dust213–40.1113%2 Aug
nuke13–70.0313%2 Aug
dust23–13-0.0920%2 Aug
mirage6–130.1316%1 Aug
office13–110.0310%31 Jul
mirage13–10-0.0112%31 Jul
dust213–5-0.049%31 Jul
mirage13–4-0.0717%29 Jul
vertigo13–10-0.0718%29 Jul
vertigo8–13-0.1012%29 Jul
dust26–13-0.0815%29 Jul
dust213–11-0.008%27 Jul
inferno7–130.045%27 Jul
train11–13-0.0613%27 Jul
nuke7–130.0222%27 Jul
anubis11–13-0.0518%26 Jul
dust28–130.0316%26 Jul
mirage0–13-0.1018%26 Jul
cache12–12-0.0415%26 Jul
mirage13–3-0.0414%26 Jul
inferno13–11-0.0512%25 Jul
mirage2–13-0.065%25 Jul
nuke6–13-0.117%25 Jul
mirage13–40.0514%25 Jul
dust213–7-0.0312%25 Jul
inferno13–5-0.0811%25 Jul
vertigo13–60.0513%25 Jul
office9–3-0.0012%24 Jul
dust210–130.0514%24 Jul
ancient7–130.0116%24 Jul
mirage8–13-0.078%23 Jul
nuke8–130.0511%23 Jul
dust212–12-0.0315%23 Jul
anubis13–6-0.0415%23 Jul
inferno4–13-0.009%23 Jul
nuke13–7-0.0617%22 Jul
office13–90.006%22 Jul
anubis13–3-0.0914%22 Jul
dust25–13-0.0213%21 Jul
office7–13-0.058%20 Jul
vertigo13–80.0414%17 Jul
dust28–13-0.097%17 Jul
dust213–11-0.0014%15 Jul
mirage13–100.0214%15 Jul
inferno13–11-0.0115%14 Jul
cache13–10-0.0113%14 Jul
nuke13–11-0.0216%14 Jul
dust213–110.0310%13 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 →