RainaCob — CS2 Stats

76561198076438715[U:1:116172987]

1,460Tracked matches40%Win rate2022Tracked since
1,504Hours in CS6Hrs last 2 wks
CSDB Rating2.1 Learning
Premier CS Rating8,244Light Blue band · top ~63.3% of ranked players (population est.)
CSDB Leaderboard#8393 of 11273 tracked
Ladder ranks via Leetify

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CSDB.GGRainaCobPREMIER8,244 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim17
Positioning28
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY38575Last 10038%Win rateWWLLLLWLWL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim1.7
Aggression1.6
Utility5.6
Positioning2.8
Opening Duels0.0

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 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim1.7
Positioning2.8
Utility5.6
Mechanics1.7
Opening Duels0.3
Win Impact1.7

Composite 2.1/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time612ms+9ms
first ⅓ avg 602ms → last ⅓ avg 612ms
Headshot accuracy14.5%+0.8%
first ⅓ avg 13.7% → last ⅓ avg 14.5%

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

0.10Best rating — ancient 13–3
131Biggest win — dust2
3Longest win streak
W2Current streak
68In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 55% over 29infernoWeakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A29161355%-0.02
infernoD1621413%-0.05
mirageC167944%-0.00
ancientB126650%-0.02
cacheD113827%-0.04
nukeD103730%-0.06
anubisD61517%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,898Lifetime kills
0.66K/D
1,942Matches
42.4%Match win rate
42.8%Headshot %
2.8%Shot accuracy
1,963MVPs
844Hours (in match)
2,410Bombs planted
307Bombs defused

Most-used weapons

Lifetime map wins

4,496dust2
2,904inferno
1,948nuke
493train
297vertigo
9office
9safehouse
8ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

14.2%Headshot accuracy
24.9%Accuracy (enemy spotted)
23.9%Spray accuracy
57.7%Counter-strafing
12.1°Preaim
605msReaction time
23.1%T opening success
32.8%CT opening success
0.57Enemies flashed / flash
3.7%Flash assists
7.66HE damage / grenade
13.99Flashes / 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 12.1175° — 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 14.2413% — 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.

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0511%27 Aug
mirage13–5-0.0418%27 Aug
dust23–13-0.0119%22 Aug
inferno1–13-0.095%22 Aug
ancient7–13-0.057%22 Aug
dust211–130.0114%15 Aug
dust213–10.0821%12 Aug
mirage7–13-0.075%12 Aug
mirage13–60.0119%7 Aug
inferno4–13-0.059%7 Aug
nuke13–10-0.086%7 Aug
dust213–11-0.0422%7 Aug
cache3–13-0.089%6 Aug
ancient13–11-0.0413%6 Aug
dust26–13-0.0826%6 Aug
inferno10–13-0.0810%6 Aug
cache11–13-0.0311%3 Aug
nuke5–13-0.0726%2 Aug
dust213–5-0.079%2 Aug
ancient7–13-0.0717%25 Jul
mirage8–130.0018%25 Jul
mirage4–13-0.0429%25 Jul
nuke11–13-0.068%25 Jul
mirage13–60.056%25 Jul
mirage13–40.0420%25 Jul
dust216–14-0.0721%24 Jul
inferno7–13-0.0917%24 Jul
nuke13–11-0.068%24 Jul
cache7–13-0.0216%23 Jul
inferno6–13-0.0210%23 Jul
dust213–110.0120%23 Jul
mirage16–12-0.0211%23 Jul
ancient13–50.0118%23 Jul
mirage10–13-0.0617%23 Jul
dust213–60.0220%23 Jul
dust213–10-0.036%22 Jul
nuke3–13-0.0313%22 Jul
dust213–10-0.0013%21 Jul
cache13–1-0.0515%21 Jul
dust25–13-0.076%21 Jul
ancient5–13-0.0414%21 Jul
inferno15–15-0.0110%20 Jul
dust213–5-0.0314%20 Jul
ancient13–7-0.069%20 Jul
dust25–13-0.0911%20 Jul
inferno16–13-0.0316%20 Jul
mirage11–13-0.0210%20 Jul
nuke4–13-0.089%20 Jul
inferno13–16-0.0313%19 Jul
dust22–13-0.0713%18 Jul
cache4–13-0.116%18 Jul
ancient15–15-0.0217%17 Jul
nuke9–13-0.0215%17 Jul
ancient14–16-0.0611%17 Jul
dust211–13-0.059%17 Jul
anubis10–13-0.1010%17 Jul
anubis14–16-0.059%17 Jul
dust213–40.0015%16 Jul
mirage13–10.095%16 Jul
ancient13–70.0110%16 Jul
cache7–13-0.0215%15 Jul
dust25–13-0.0611%15 Jul
mirage3–13-0.088%15 Jul
dust212–16-0.0410%15 Jul
dust213–11-0.0011%14 Jul
dust213–70.0914%14 Jul
dust28–130.018%13 Jul
cache9–130.0310%13 Jul
nuke7–13-0.105%13 Jul
mirage8–130.0513%13 Jul
inferno13–16-0.0615%13 Jul
mirage13–70.0212%13 Jul
anubis13–60.0411%13 Jul
inferno7–13-0.0217%13 Jul
dust215–15-0.0419%12 Jul
mirage8–130.0414%12 Jul
inferno10–130.0115%12 Jul
anubis2–13-0.0416%12 Jul
dust213–10-0.0013%11 Jul
inferno7–13-0.1017%11 Jul
cache13–9-0.048%11 Jul
ancient13–30.1021%11 Jul
inferno8–13-0.0810%11 Jul
dust210–13-0.098%11 Jul
dust214–16-0.0817%11 Jul
mirage8–130.0026%11 Jul
ancient5–13-0.1110%11 Jul
cache7–13-0.0514%11 Jul
dust213–50.0115%11 Jul
anubis6–13-0.0113%10 Jul
nuke16–12-0.0413%10 Jul
dust213–10.0412%10 Jul
cache15–15-0.0110%10 Jul
inferno5–13-0.0320%10 Jul
cache13–7-0.0612%10 Jul
ancient13–70.1015%10 Jul
dust213–2-0.0811%10 Jul
anubis5–13-0.029%9 Jul
inferno13–16-0.0119%9 Jul
nuke15–15-0.0511%9 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 →