.Elina. — CS2 Stats

76561198995081019[U:1:1034815291]

831Tracked matches39%Win rate2020Tracked since
CSDB Rating3.0 Learning
Premier CS Rating11,866Blue band · top ~45% of ranked players (population est.)
CSDB Leaderboard#36163 of 52665 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG.Elina.FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER11,866 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning32
Utility31

0–100 skill scores via Leetify.

Recent form

COLD41536Last 10041%Win rateLLWWLLLLTL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Aim4.2
Aggression3.3
Utility3.1
Positioning3.2
Opening Duels0.1
Clutch0.0

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 67% playstyle similarity

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

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. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.2
Positioning3.2
Utility3.1
Mechanics4.4
Opening Duels0.3
Win Impact1.4

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time655ms+29ms
first ⅓ avg 626ms → last ⅓ avg 655ms
Headshot accuracy16.6%+1.0%
first ⅓ avg 15.6% → last ⅓ avg 16.6%

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 — train 13–11
131Biggest win — dust2
8Longest win streak
L2Current streak
37In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 45% over 11cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D32102231%-0.02
mirageC25101540%-0.02
infernoB115645%-0.02
ancientC83538%-0.03
cacheD72529%-0.04
nuke41325%0.01
overpass43175%0.00
train330100%0.03
anubis220100%0.02
office21150%-0.03
italy1010%-0.04
boulder110100%0.06

Across the last 100 tracked matches.

Faceit stats

Combat

40Matches
42%Win rate
0.97Avg K/D
66.2ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2333%0.6911.3
Mirage250%0.8015.5
Vertigo20%0.5612.0
Inferno1100%1.5614.0

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.

16.5%Headshot accuracy
29.1%Accuracy (enemy spotted)
31.8%Spray accuracy
69.9%Counter-strafing
9.4°Preaim
649msReaction time
28.4%T opening success
32.7%CT opening success
0.54Enemies flashed / flash
2.8%Flash assists
8.49HE damage / grenade
2.30Flashes / 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 2.2982 — 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 28.4198% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.043%1 Aug
dust21–13-0.0424%1 Aug
dust213–5-0.0811%1 Aug
dust213–30.0415%1 Aug
mirage9–13-0.0623%1 Aug
inferno8–13-0.0813%31 Jul
dust213–16-0.0315%31 Jul
cache3–13-0.0424%17 Jul
italy12–12-0.0410%17 Jul
dust22–13-0.0114%17 Jul
mirage9–13-0.0836%17 Jul
dust23–13-0.0223%16 Jul
dust29–13-0.0320%15 Jul
anubis13–9-0.0314%15 Jul
mirage7–13-0.0116%15 Jul
anubis13–60.0617%14 Jul
cache8–13-0.0310%14 Jul
mirage7–130.0211%14 Jul
dust213–10.0722%14 Jul
ancient5–13-0.0723%14 Jul
inferno13–80.0416%14 Jul
mirage11–13-0.0513%13 Jul
dust213–10-0.0122%13 Jul
cache3–13-0.0923%13 Jul
boulder13–20.0623%12 Jul
cache13–20.0511%12 Jul
office13–100.0111%12 Jul
dust213–5-0.067%12 Jul
inferno7–13-0.0217%12 Jul
dust215–15-0.0418%11 Jul
ancient13–8-0.0013%11 Jul
dust24–13-0.0626%11 Jul
cache6–13-0.118%11 Jul
mirage13–50.0713%11 Jul
ancient4–13-0.0515%11 Jul
dust22–13-0.0817%11 Jul
dust21–13-0.0718%11 Jul
inferno13–10-0.0610%11 Jul
mirage13–8-0.064%11 Jul
dust213–11-0.0022%10 Jul
mirage13–11-0.0119%10 Jul
mirage13–90.0111%10 Jul
office7–13-0.0616%10 Jul
cache6–13-0.0014%10 Jul
dust211–13-0.0430%8 Jul
mirage13–60.0513%8 Jul
mirage5–13-0.0438%8 Jul
dust212–12-0.0515%8 Jul
dust213–8-0.0418%12 May
inferno10–13-0.0511%12 May
dust25–13-0.0324%12 May
ancient13–9-0.0115%12 May
mirage8–130.0316%12 May
inferno5–9-0.0717%6 May
mirage4–13-0.085%6 May
dust23–13-0.0218%6 May
dust212–12-0.0622%6 May
cache13–8-0.0519%6 May
mirage2–13-0.0312%6 May
mirage13–8-0.0019%19 Oct
inferno9–13-0.0119%19 Oct
dust26–130.0320%29 Sept
nuke10–130.0218%29 Sept
inferno3–130.0019%29 Sept
nuke14–16-0.0014%28 Sept
ancient15–15-0.0120%28 Sept
ancient13–9-0.029%27 Sept
overpass13–8-0.0410%27 Sept
nuke11–13-0.0313%27 Sept
mirage13–50.0513%27 Sept
mirage13–10-0.0116%27 Sept
inferno13–50.0122%27 Sept
dust213–8-0.0020%27 Sept
dust213–50.0218%27 Sept
inferno13–90.0212%27 Sept
inferno13–30.0115%25 Sept
train13–70.0111%25 Sept
ancient15–15-0.0116%25 Sept
mirage12–16-0.0212%24 Sept
overpass13–80.0211%24 Sept
train13–110.1021%23 Sept
nuke13–50.0514%23 Sept
train13–4-0.0121%23 Sept
overpass9–5-0.0410%23 Sept
mirage4–130.0116%23 Sept
ancient13–16-0.0415%22 Sept
dust26–13-0.0420%22 Sept
mirage8–13-0.0522%22 Sept
mirage8–13-0.0327%22 Sept
mirage13–40.0013%22 Sept
dust211–13-0.0311%22 Sept
overpass14–160.0812%21 Sept
dust22–13-0.0515%21 Sept
dust27–130.0624%21 Sept
dust216–120.0224%21 Sept
dust29–13-0.048%20 Sept
mirage2–13-0.0814%20 Sept
dust29–130.0113%20 Sept
mirage13–8-0.0813%20 Sept
dust211–13-0.0113%20 Sept

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 →