Kosta

Kosta — CS2 Stats

MC76561198453398029[U:1:493132301]Steam profile ↗✓ No bans

1,525Tracked matches48%Win rate2021Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating23,071Pink band · top ~5.1% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGKostaPREMIER23,071 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning62
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLWLWLLWWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.3pp headshot accuracy · +44ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 589ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 608ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 586ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim6.9
Utility6.9
Positioning6.2
Opening Duels2.3

Effective flashes

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

iM

Plays most like iM 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 597ms 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

Aim6.9
Positioning6.2
Utility6.9
Mechanics6.9
Opening Duels4.2
Win Impact4.4

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time587ms+12ms
first ⅓ avg 575ms → last ⅓ avg 587ms
Headshot accuracy18.2%−2.2%
first ⅓ avg 20.4% → last ⅓ avg 18.2%

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

0.20Best match rating · 9–2 · inferno, 4 Sept →
38%Best headshot accuracy · 13–10 · inferno, 13 Aug →
391msFastest reaction time · 0–5 · mirage, 14 Sept →
13–1Biggest win · inferno, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 68% over 28anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS2819–968%-0.00
cacheC188–1044%-0.00
mirageD186–1233%-0.02
dust2D82–625%-0.03
ancientD72–529%-0.02
anubisD71–614%0.00
nukeC52–340%-0.02
italy—33–0100%0.01
overpass—31–233%-0.03
shelter—10–10%-0.05
train—10–10%-0.02
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

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

17.6%Headshot accuracy
33.3%Accuracy (enemy spotted)
32.0%Spray accuracy
81.3%Counter-strafing
7.9°Preaim
597msReaction time
52.0%T opening success
41.9%CT opening success
0.75Enemies flashed / flash
5.1%Flash assists
10.40HE damage / grenade
10.58Flashes / match

Recommended for you

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–130.0213%15 Nov →
inferno13–2-0.0513%15 Nov →
inferno5–13-0.0629%14 Nov →
ancient13–80.0622%14 Nov →
cache10–130.0319%14 Nov →
inferno5–13-0.0222%14 Nov →
inferno13–5-0.028%14 Nov →
inferno13–7-0.0318%4 Nov →
cache13–9-0.078%4 Nov →
inferno6–13-0.0417%31 Oct →
italy13–11-0.0214%31 Oct →
inferno3–13-0.0617%30 Oct →
cache13–100.0626%30 Oct →
cache10–13-0.0327%29 Oct →
mirage12–12-0.0810%29 Oct →
dust213–6-0.0536%28 Oct →
inferno13–7-0.047%14 Oct →
cache13–110.0314%29 Sept →
ancient13–11-0.0415%24 Sept →
dust22–13-0.0618%24 Sept →
anubis6–13-0.0216%24 Sept →
cache6–130.0320%24 Sept →
nuke14–16-0.0411%23 Sept →
inferno13–7-0.0210%23 Sept →
nuke13–80.0520%23 Sept →
overpass13–5-0.0323%19 Sept →
shelter9–13-0.0513%19 Sept →
anubis9–13-0.0124%17 Sept →
mirage10–13-0.0115%17 Sept →
anubis8–13-0.0129%16 Sept →
ancient11–130.0123%16 Sept →
inferno13–10.0120%16 Sept →
dust210–13-0.0124%16 Sept →
dust27–13-0.0522%16 Sept →
cache12–12-0.0018%16 Sept →
anubis2–130.0023%16 Sept →
mirage9–130.0312%15 Sept →
ancient10–130.0313%14 Sept →
train10–13-0.0215%14 Sept →
ancient7–13-0.0816%14 Sept →
mirage0–5-0.0729%14 Sept →
dust211–13-0.0323%14 Sept →
anubis14–16-0.0224%10 Sept →
inferno7–130.0128%10 Sept →
overpass6–13-0.0115%10 Sept →
dust25–13-0.0218%10 Sept →
overpass11–13-0.0414%10 Sept →
inferno9–20.2029%4 Sept →
cache11–13-0.0515%4 Sept →
nuke11–13-0.087%4 Sept →
mirage13–16-0.069%22 Aug →
cache12–120.0720%20 Aug →
italy13–110.0216%14 Aug →
anubis13–30.0223%13 Aug →
inferno13–100.0438%13 Aug →
mirage4–13-0.0919%13 Aug →
cache13–30.0122%10 Aug →
inferno13–50.0222%10 Aug →
inferno12–12-0.0315%9 Aug →
cache13–80.0421%9 Aug →
italy13–70.0516%9 Aug →
inferno13–8-0.0316%9 Aug →
inferno13–8-0.0418%7 Aug →
mirage3–13-0.0618%7 Aug →
mirage11–130.0115%4 Aug →
nuke13–90.0421%3 Aug →
mirage13–70.0523%3 Aug →
inferno11–20.0225%2 Aug →
inferno13–90.0224%1 Aug →
inferno3–130.0216%23 Jul →
cache9–130.0327%23 Jul →
mirage8–130.0527%23 Jul →
inferno10–130.0623%20 Jul →
mirage13–90.0122%20 Jul →
cache9–13-0.0716%18 Jul →
mirage1–2-0.140%18 Jul →
cache6–13-0.0313%18 Jul →
mirage1–13-0.1320%18 Jul →
inferno13–10-0.0227%18 Jul →
inferno13–20.0335%18 Jul →
mirage13–6-0.0118%18 Jul →
mirage16–14-0.0415%18 Jul →
inferno11–13-0.079%17 Jul →
ancient7–13-0.0927%17 Jul →
nuke7–13-0.0527%16 Jul →
ancient1–13-0.0519%16 Jul →
inferno13–8-0.0219%16 Jul →
cache13–4-0.0410%16 Jul →
dust213–16-0.0524%16 Jul →
inferno13–40.0217%15 Jul →
dust213–30.0233%15 Jul →
inferno13–80.0331%14 Jul →
cache13–6-0.0213%14 Jul →
anubis8–130.0527%14 Jul →
mirage11–13-0.0023%14 Jul →
cache13–3-0.0416%14 Jul →
vertigo12–12-0.0221%14 Jul →
mirage13–70.0418%13 Jul →
mirage13–80.1320%13 Jul →
inferno13–70.0112%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 →

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