Karina

Karina — CS2 Stats

76561198975084896[U:1:1014819168]Steam profile ↗✓ No bans

246Tracked matches24%Win rate2025Tracked since
568Hours in CS31Hrs last 2 wks
CSDB Rating3.6 LearningPositional Player
Premier CS Rating17,679Purple band · top ~17.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 23 days played since 29 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,679 -10,776 29 Jul17 Sept · 20 days played
17,67928,858peak 28,85829 Jul17 Sept
29,160Peak Premier in tracked matches
23Days played since 2026-07-29

Premier CS Rating

  • 11,179 below peak (28,858)
  • -10,532 over 30 days · declining
  • Next: Pink band at 20,000 2,321 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=35,214), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate53.7%44.3%47.0%above
Shot accuracy5.4%11.8%13.0%7.6% short
Kill/death ratio1.121.031.08above
Match win rate50.8%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKarinaPREMIER17,679 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning29
Utility14

0–100 skill scores via Leetify.

Recent form

COLD45532Last 10045%Win rateLLWLWWLLLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −9.8pp headshot accuracy · −122ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 622ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 492ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 552ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim6.4
Utility1.4
Positioning2.9
Opening Duels0.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 89% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 572ms 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

Aim6.4
Positioning2.9
Utility1.4
Mechanics5.3
Opening Duels1.1
Win Impact0.0

Composite 3.6/10 (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-0.03−0.08
first ⅓ avg 0.04 → last ⅓ avg -0.03
Reaction time562ms+18ms
first ⅓ avg 544ms → last ⅓ avg 562ms
Headshot accuracy22.0%−14.3%
first ⅓ avg 36.3% → last ⅓ avg 22.0%

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.

Personal bests

0.23Best match rating · 13–4 · dust2, 30 Jul
100%Best headshot accuracy · 0–13 · dust2, 16 Sept
203msFastest reaction time · 2–13 · inferno, 26 Aug
13–0Biggest win · mirage, 16 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
24In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 64% over 14nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D34112332%-0.00
mirageB27141352%-0.01
ancientA149564%0.01
infernoB105550%-0.05
nukeD92722%-0.01
cache32167%-0.04
anubis32167%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,111Lifetime kills
1.12K/D · Top 50% of Purple band
553Matches
50.8%Match win rate · Top 25% of Purple band
53.7%Headshot % · Top 25% of Purple band
5.4%Shot accuracy
1,342MVPs
186Hours (in match)
234Bombs planted
99Bombs defused

Most-used weapons

Lifetime map wins

1,818dust2
425inferno
304nuke
14vertigo
12lake
3office
3train

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.

22.8%Headshot accuracy
30.2%Accuracy (enemy spotted)
35.6%Spray accuracy
73.7%Counter-strafing
10.1°Preaim
572msReaction time
39.0%T opening success
25.0%CT opening success
0.31Enemies flashed / flash
3.7%Flash assists
6.20HE damage / grenade
2.23Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3129 — below the 0.5 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 39.0269% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0319%17 Sept
dust20–13-0.0129%17 Sept
ancient13–30.0224%17 Sept
mirage9–13-0.0018%17 Sept
mirage13–4-0.0118%17 Sept
mirage13–40.0118%17 Sept
mirage1–13-0.040%17 Sept
ancient4–13-0.1213%17 Sept
mirage1–10-0.030%17 Sept
nuke11–13-0.0724%17 Sept
dust24–13-0.0622%17 Sept
dust20–13-0.010%17 Sept
dust215–15-0.0326%17 Sept
ancient13–8-0.0421%16 Sept
ancient3–13-0.0625%16 Sept
mirage13–00.0839%16 Sept
cache0–13-0.0827%16 Sept
nuke0–13-0.070%16 Sept
cache13–2-0.060%16 Sept
dust20–130.01100%16 Sept
dust20–13-0.0429%16 Sept
dust21–13-0.0922%16 Sept
dust28–13-0.0017%16 Sept
nuke0–13-0.040%16 Sept
dust24–13-0.0428%16 Sept
dust211–13-0.0967%16 Sept
mirage0–13-0.0422%16 Sept
mirage3–13-0.0523%16 Sept
inferno13–6-0.0423%15 Sept
mirage1–13-0.0233%15 Sept
mirage13–2-0.0840%14 Sept
inferno13–0-0.000%14 Sept
nuke13–0-0.000%14 Sept
dust20–6-0.0367%14 Sept
mirage1–13-0.0819%14 Sept
dust213–0-0.040%14 Sept
dust20–13-0.070%14 Sept
dust21–130.0040%14 Sept
mirage13–7-0.0313%14 Sept
mirage13–00.0050%14 Sept
mirage0–13-0.030%14 Sept
anubis0–13-0.020%14 Sept
dust213–0-0.020%14 Sept
ancient13–0-0.0114%14 Sept
ancient13–00.000%14 Sept
dust24–0-0.110%14 Sept
mirage13–00.000%13 Sept
dust20–13-0.0343%13 Sept
mirage13–1-0.0425%10 Sept
dust213–3-0.0724%9 Sept
mirage12–00.000%9 Sept
dust22–13-0.0115%9 Sept
mirage0–7-0.07100%9 Sept
ancient13–20.038%9 Sept
inferno0–13-0.0823%9 Sept
mirage2–13-0.1225%9 Sept
ancient13–0-0.0020%5 Sept
inferno9–1-0.040%2 Sept
ancient6–100.0216%1 Sept
dust210–130.1250%31 Aug
mirage13–00.000%31 Aug
ancient2–13-0.120%31 Aug
inferno13–6-0.1010%29 Aug
nuke4–13-0.0925%26 Aug
inferno2–13-0.0967%26 Aug
dust20–13-0.060%26 Aug
dust213–10.0129%26 Aug
dust20–13-0.0633%26 Aug
inferno0–11-0.1219%25 Aug
dust27–13-0.0127%21 Aug
dust21–13-0.05100%21 Aug
nuke13–50.0430%20 Aug
mirage10–40.0735%19 Aug
dust28–130.0558%19 Aug
dust211–130.0532%19 Aug
dust210–13-0.0127%18 Aug
inferno12–12-0.2050%9 Aug
dust216–130.0336%6 Aug
mirage13–6-0.0129%6 Aug
mirage6–13-0.0054%6 Aug
dust213–100.0825%6 Aug
mirage13–60.0151%1 Aug
cache13–110.0233%1 Aug
nuke5–130.0632%1 Aug
ancient10–130.0425%1 Aug
mirage13–10.0530%1 Aug
dust213–11-0.0750%1 Aug
dust213–70.0824%1 Aug
nuke8–130.0434%1 Aug
anubis13–70.0025%1 Aug
ancient13–90.0530%1 Aug
mirage11–130.0737%1 Aug
nuke10–130.0634%30 Jul
inferno13–70.1746%30 Jul
mirage10–130.0623%30 Jul
anubis13–100.1728%30 Jul
dust213–80.2142%30 Jul
ancient13–60.1928%30 Jul
dust213–40.2336%30 Jul
ancient13–70.1333%29 Jul

Match data via Leetify.

Milestones

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