rcosg — CS2 Stats

76561198107962896[U:1:147697168]

947Tracked matches39%Win rate2020Tracked since
CSDB Rating4.5 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGrcosgFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning44
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY40537Last 10040%Win rateWWWLTLLLWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim5.6
Aggression3.4
Utility4.5
Positioning4.4
Opening Duels0.6
Clutch2.6

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 80% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 678ms 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

Aim5.6
Positioning4.4
Utility4.5
Mechanics6.9
Opening Duels1.2
Win Impact1.4

Composite 4.5/10 (Developing), 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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time673ms−0ms
first ⅓ avg 674ms → last ⅓ avg 673ms
Headshot accuracy17.0%+0.6%
first ⅓ avg 16.4% → last ⅓ avg 17.0%

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

0.19Best rating — inferno 9–3
133Biggest win — dust2
4Longest win streak
W3Current streak
73In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 75% over 16trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD2151624%-0.01
mirageC1971237%-0.02
dust2S1612475%0.01
ancientB136746%0.01
nukeD103730%0.00
anubisC73443%-0.04
trainD51420%-0.03
overpass41325%-0.04
cache31233%-0.04
vertigo21150%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

265Matches
53%Win rate
0.88Avg K/D
80.5ADR
31%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.9220.0
Mirage10%0.507.0
Train1100%1.1826.0
Inferno1100%0.7717.0
Overpass1100%0.9415.0

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.

15.8%Headshot accuracy
38.0%Accuracy (enemy spotted)
37.9%Spray accuracy
80.8%Counter-strafing
12.6°Preaim
678msReaction time
24.8%T opening success
39.7%CT opening success
0.52Enemies flashed / flash
6.0%Flash assists
9.53HE damage / grenade
7.80Flashes / 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 12.6223° — above the 12° mark we flag

    Aim Training
Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke9–40.0622%24 Jul
inferno9–30.1925%24 Jul
mirage13–100.039%23 Jul
nuke7–130.0217%23 Jul
dust215–15-0.0423%21 Jul
inferno5–13-0.097%21 Jul
nuke2–130.0129%21 Jul
ancient4–13-0.074%19 Jul
dust213–10-0.0520%19 Jul
nuke4–9-0.0027%19 Jul
anubis2–13-0.070%16 Jul
nuke12–12-0.0619%16 Jul
cache4–13-0.0823%16 Jul
inferno5–13-0.0114%16 Jul
cache13–90.0418%11 Jul
dust213–60.0413%11 Jul
mirage13–80.0722%11 Jul
anubis14–16-0.0215%4 Jul
dust213–8-0.0133%4 Jul
inferno10–13-0.043%4 Jul
mirage1–13-0.0514%4 Jul
mirage2–13-0.0629%4 Jul
dust27–13-0.0314%3 Jul
inferno3–9-0.1522%3 Jul
nuke9–130.0415%3 Jul
dust213–11-0.053%1 Jul
anubis13–11-0.0311%1 Jul
ancient13–40.015%1 Jul
inferno10–13-0.0816%20 Jun
nuke11–13-0.0218%18 Jun
dust213–30.0817%18 Jun
mirage2–13-0.0330%20 May
ancient5–13-0.0226%20 May
inferno13–70.0215%19 May
nuke9–130.0011%18 May
ancient13–100.0319%18 May
train2–13-0.0167%16 May
nuke13–100.0124%10 May
ancient13–70.0923%10 May
dust213–100.0718%10 May
mirage13–4-0.0428%10 May
inferno6–13-0.0817%9 May
mirage0–13-0.0719%9 May
dust24–130.0024%9 May
inferno13–50.0321%6 May
cache12–12-0.0831%6 May
mirage10–13-0.0317%3 May
dust213–30.0217%3 May
dust213–110.0411%2 May
overpass8–130.0014%2 May
inferno5–9-0.1110%2 May
inferno5–13-0.0520%2 May
dust213–40.1311%1 May
dust26–50.0417%1 May
inferno10–130.0114%1 May
dust213–80.0110%1 May
mirage4–13-0.0829%1 May
inferno4–130.035%1 May
inferno16–120.0610%1 May
mirage7–13-0.0016%29 Apr
mirage5–13-0.0621%27 Apr
anubis10–13-0.0318%27 Apr
mirage10–4-0.0312%26 Apr
train6–00.030%26 Apr
overpass12–12-0.056%26 Apr
anubis3–13-0.1122%26 Apr
ancient13–110.047%26 Apr
inferno14–160.0918%26 Apr
mirage13–100.0113%25 Apr
nuke16–14-0.028%25 Apr
dust213–80.0216%24 Apr
ancient8–130.038%24 Apr
ancient16–12-0.010%23 Apr
inferno9–13-0.0327%23 Apr
overpass13–10-0.0218%23 Apr
mirage8–13-0.1025%22 Apr
dust24–13-0.0421%22 Apr
inferno12–12-0.0314%19 Apr
anubis13–70.0110%19 Apr
train6–13-0.1016%19 Apr
ancient6–00.1044%19 Apr
mirage13–70.0227%19 Apr
overpass2–13-0.090%18 Apr
anubis13–110.0011%18 Apr
mirage9–13-0.0311%18 Apr
ancient9–130.0118%18 Apr
inferno12–120.0026%18 Apr
inferno9–13-0.0114%16 Apr
ancient12–12-0.0625%16 Apr
train7–13-0.0210%16 Apr
inferno2–13-0.0230%14 Apr
ancient5–130.0119%14 Apr
ancient5–13-0.038%13 Apr
mirage3–13-0.0213%13 Apr
train10–13-0.0319%12 Apr
inferno13–7-0.0314%12 Apr
vertigo8–13-0.035%12 Apr
vertigo13–80.0614%10 Apr
mirage4–13-0.0725%10 Apr
mirage13–80.0715%9 Apr

Match data via Leetify.

Recent teammates

Milestones

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