Kraven Morecome

Kraven Morecome — CS2 Stats

US76561198404188486[U:1:443922758]Steam profile ↗✓ No bans

190Tracked matches19%Win rate2020Tracked since
256Hours in CS
CSDB Rating5.7 SolidAll-Rounder
Ladder ranks via Leetify

Performance scores

Aim81
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

COLD50–38–12Last 10050%Win rateLLLLWLWLWL

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · +3.9pp headshot accuracy · −9ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 32%
  • Avg reaction 650ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 33%
  • Avg reaction 657ms

Last 20

  • 3–17 · 15% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 31%
  • Avg reaction 662ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.1
Utility4.6
Positioning4.8
Opening Duels4.9

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

device

Plays most like device 94% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 33 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. 675ms 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

Aim8.1
Positioning4.8
Utility4.6
Mechanics8.0
Opening Duels4.6
Win Impact0.0

Composite 5.7/10 (Solid), 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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time701ms+52ms
first ⅓ avg 649ms → last ⅓ avg 701ms
Headshot accuracy29.8%−4.2%
first ⅓ avg 33.9% → last ⅓ avg 29.8%

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

0.32Best match rating · 9–0 · debris, 13 Jul →
100%Best headshot accuracy · 1–7 · office, 13 Jul →
313msFastest reaction time · 2–0 · inferno, 9 Mar →
13–0Biggest win · mirage, 15 Mar →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L4Current streak
3–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 60% over 5nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
officeA4425–1957%0.02
dust2B179–853%0.03
nukeD102–820%0.00
mirageD82–625%0.02
infernoA53–260%0.09
debris—31–233%0.03
overpass—33–0100%0.01
ancient—31–233%0.05
train—11–0100%0.01
anubis—10–10%-0.01
shelter—10–10%0.00
poseidon—10–10%-0.19
vertigo—11–0100%-0.04
eldorado—11–0100%0.09
cache—11–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,093Lifetime kills
1.16K/D · Top 25% of tracked players
656Matches
53.4%Match win rate · Top 10% of tracked players
54.5%Headshot % · Top 25% of tracked players
16.9%Shot accuracy · Top 25% of tracked players
2,385MVPs
256Hours (in match)
127Bombs planted
132Bombs defused

Most-used weapons

Lifetime map wins

1,941dust2
1,055office
451nuke
380inferno
78vertigo
61train
18cbble
9lake

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.

30.3%Headshot accuracy
34.5%Accuracy (enemy spotted)
33.3%Spray accuracy
86.0%Counter-strafing
8.4°Preaim
675msReaction time
41.2%T opening success
55.9%CT opening success
0.75Enemies flashed / flash
4.8%Flash assists
9.76HE damage / grenade
6.53Flashes / match

Recommended for you

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0128%18 Sept →
nuke11–130.0616%11 Sept →
office8–130.0546%6 Sept →
nuke8–130.0039%29 Aug →
train13–60.0132%29 Aug →
office7–13-0.0224%28 Aug →
office13–50.0620%28 Aug →
mirage4–13-0.0328%28 Aug →
dust28–20.0962%28 Aug →
nuke8–130.0134%28 Aug →
mirage8–130.0028%26 Aug →
dust24–13-0.0323%26 Aug →
office2–13-0.0441%30 Jul →
dust25–13-0.0431%29 Jul →
nuke10–13-0.0027%29 Jul →
anubis7–13-0.0119%27 Jul →
office7–130.0437%26 Jul →
dust25–9-0.0746%26 Jul →
nuke0–13-0.080%26 Jul →
nuke3–13-0.0438%26 Jul →
nuke12–120.0624%26 Jul →
dust211–130.0324%26 Jul →
mirage12–120.0230%21 Jul →
shelter12–120.0028%18 Jul →
nuke4–130.0441%15 Jul →
office13–3-0.0340%15 Jul →
nuke13–3-0.0618%14 Jul →
poseidon2–9-0.1924%14 Jul →
inferno9–40.0642%14 Jul →
vertigo9–4-0.0429%14 Jul →
debris3–9-0.0818%14 Jul →
eldorado9–20.0923%14 Jul →
office12–12-0.0423%14 Jul →
office5–130.0232%14 Jul →
debris2–9-0.1625%13 Jul →
debris9–00.3241%13 Jul →
office1–7-0.10100%13 Jul →
dust26–130.0012%11 Jul →
office13–110.0529%11 Jul →
office13–11-0.0460%11 Jul →
overpass13–9-0.0624%11 May →
dust213–20.0141%11 May →
cache13–60.0126%11 May →
dust210–130.0042%25 Mar →
ancient12–120.1540%25 Mar →
office1–13-0.1029%22 Mar →
dust29–13-0.0914%22 Mar →
office13–5-0.0161%21 Mar →
office13–80.1062%20 Mar →
dust212–120.0726%20 Mar →
office6–13-0.0225%18 Mar →
office13–10.1134%18 Mar →
office13–100.0235%17 Mar →
office13–40.0824%17 Mar →
office13–50.1542%15 Mar →
mirage13–00.1739%15 Mar →
inferno13–40.1535%15 Mar →
office13–60.1433%15 Mar →
overpass13–90.0632%13 Mar →
office13–80.1234%13 Mar →
office13–70.0530%13 Mar →
office13–20.1128%12 Mar →
office9–130.0025%12 Mar →
overpass13–80.0525%12 Mar →
mirage4–13-0.0331%11 Mar →
dust216–12-0.0527%11 Mar →
dust213–10.1933%11 Mar →
office11–130.0335%10 Mar →
office12–120.0229%9 Mar →
dust213–40.1440%9 Mar →
inferno2–00.02100%9 Mar →
office4–13-0.0436%7 Mar →
inferno10–130.0823%7 Mar →
office12–120.0235%4 Mar →
office13–80.0523%4 Mar →
office13–60.0634%4 Mar →
office13–80.0045%4 Mar →
ancient2–130.0050%4 Mar →
office13–20.0328%4 Mar →
mirage13–50.0233%4 Mar →
office13–50.0132%4 Mar →
nuke13–90.0533%3 Mar →
dust213–30.1523%3 Mar →
office12–12-0.0123%3 Mar →
ancient13–6-0.0126%3 Mar →
office9–13-0.0634%1 Mar →
office13–5-0.0042%1 Mar →
office12–120.0541%28 Feb →
mirage6–13-0.0037%28 Feb →
inferno12–120.1434%28 Feb →
dust25–00.0640%28 Feb →
office13–10-0.0131%26 Feb →
office13–70.0624%26 Feb →
office12–12-0.0025%26 Feb →
office11–130.0616%26 Feb →
office13–30.0533%25 Feb →
dust213–60.0322%25 Feb →
office13–100.0938%25 Feb →
office13–3-0.0337%25 Feb →
dust213–100.0515%23 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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