KrepsCoRe — CS2 Stats

76561198316146129[U:1:355880401]

2,545Tracked matches57%Win rate2020Tracked since

2,757Hours in CS29Hrs last 2 wks

CSDB Rating6.0 SolidPassive Rifler

Premier CS Rating25,055Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#2753 of 19177 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning49

Utility67

0–100 skill scores via Leetify.

Recent form

HOT58–34–8Last 10058%Win rateWWLWWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression3.7

Utility6.7

Positioning4.9

Opening Duels1.8

Clutch3.8

Strong CT-side opener

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

Plays most like NiKo 89% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 56% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 550ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim6.9

Positioning4.9

Utility6.7

Mechanics4.0

Opening Duels3.2

Win Impact7.4

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time549ms−20ms

first ⅓ avg 569ms → last ⅓ avg 549ms

Headshot accuracy16.4%+3.1%

first ⅓ avg 13.3% → last ⅓ avg 16.4%

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

0.23Best rating — boulder 13–2

13–0Biggest win — overpass

5Longest win streak

W2Current streak

4–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 78% over 9nukeWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	18	9–9	50%	-0.00
vertigo	S	11	8–3	73%	0.01
train	A	10	6–4	60%	0.00
anubis	B	10	5–5	50%	0.01
nuke	C	10	4–6	40%	-0.01
inferno	S	9	7–2	78%	-0.01
fachwerk	S	7	5–2	71%	0.02
boulder	S	7	5–2	71%	0.06
ancient	B	6	3–3	50%	-0.03
mirage	—	4	0–4	0%	0.01
shelter	—	3	2–1	67%	-0.00
overpass	—	3	2–1	67%	-0.01
dust2	—	1	1–0	100%	0.01
italy	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,959Lifetime kills

0.88K/D

4,107Matches

48.0%Match win rate · Top 50% of tracked players

47.2%Headshot % · Top 50% of tracked players

7.9%Shot accuracy

8,670MVPs

6,815Hours (in match)

4,105Bombs planted

852Bombs defused

Most-used weapons

AK-4733,449

M4A4 / M4A1-S17,420

P2000 / USP-S7,760

Desert Eagle5,692

Glock-183,408

AWP3,368

MP92,832

Galil AR1,937

MAC-101,904

FAMAS1,122

Lifetime map wins

4,758vertigo

4,602inferno

2,808nuke

2,450train

2,230dust2

840cbble

544office

175lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

502Matches

54%Win rate

0.86Avg K/D

71.3ADR

40%Headshot %

Clutches & streaks

39%1v1 clutch win

14%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	133	61%	0.89	14.2
Anubis	129	60%	0.86	12.7
Nuke	47	49%	0.93	13.6
Vertigo	45	67%	0.97	12.5
Inferno	43	37%	0.76	11.6
Mirage	26	19%	0.64	11.3
Train	21	62%	0.93	16.2
Dust2	17	47%	0.93	14.8

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.

17.2%Headshot accuracy

36.6%Accuracy (enemy spotted)

43.4%Spray accuracy

68.0%Counter-strafing

10.2°Preaim

550msReaction time

18.3%T opening success

55.7%CT opening success

0.56Enemies flashed / flash

9.4%Flash assists

8.73HE damage / grenade

11.03Flashes / 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.

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 18.2679% — 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.

40% 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

Map	Score	Rating	HS%	Date
train	13–6	0.04	32%	26 Aug →
vertigo	13–6	-0.01	17%	26 Aug →
inferno	11–13	-0.01	14%	26 Aug →
fachwerk	13–1	0.04	32%	26 Aug →
cache	13–10	-0.03	16%	26 Aug →
anubis	13–2	-0.03	21%	26 Aug →
vertigo	13–8	0.03	8%	26 Aug →
dust2	13–10	0.01	19%	26 Aug →
nuke	11–13	-0.02	21%	25 Aug →
cache	4–13	-0.06	4%	25 Aug →
fachwerk	13–5	0.03	11%	25 Aug →
vertigo	11–13	0.03	24%	24 Aug →
train	13–6	-0.02	10%	24 Aug →
italy	13–7	-0.01	18%	24 Aug →
ancient	13–4	-0.02	17%	24 Aug →
cache	8–13	0.01	22%	24 Aug →
shelter	6–13	-0.01	19%	24 Aug →
boulder	12–12	-0.02	18%	24 Aug →
inferno	13–8	-0.04	14%	24 Aug →
train	5–13	-0.04	11%	23 Aug →
anubis	1–7	-0.06	17%	23 Aug →
vertigo	11–13	0.00	14%	23 Aug →
cache	6–13	0.06	25%	21 Aug →
cache	13–9	0.04	24%	20 Aug →
anubis	11–13	-0.07	18%	19 Aug →
nuke	12–12	-0.02	18%	18 Aug →
inferno	5–1	-0.06	0%	18 Aug →
ancient	8–13	-0.02	10%	18 Aug →
train	13–5	-0.06	20%	18 Aug →
cache	13–9	0.04	13%	18 Aug →
train	13–2	0.11	13%	17 Aug →
overpass	13–0	0.10	7%	17 Aug →
fachwerk	7–13	-0.02	16%	17 Aug →
nuke	13–10	0.04	16%	17 Aug →
ancient	13–6	-0.01	11%	17 Aug →
vertigo	13–4	0.05	24%	17 Aug →
train	5–13	-0.07	4%	17 Aug →
anubis	13–2	0.12	20%	17 Aug →
cache	10–13	-0.01	12%	17 Aug →
boulder	13–4	0.02	14%	17 Aug →
fachwerk	8–13	0.01	7%	12 Aug →
boulder	10–13	-0.06	14%	11 Aug →
shelter	13–5	-0.00	18%	11 Aug →
fachwerk	13–6	0.00	12%	11 Aug →
anubis	10–13	0.03	20%	11 Aug →
cache	3–9	0.04	11%	11 Aug →
inferno	13–11	0.03	12%	10 Aug →
cache	13–10	0.02	23%	9 Aug →
mirage	11–13	-0.02	13%	3 Aug →
boulder	13–5	0.02	11%	2 Aug →
cache	10–13	-0.02	16%	2 Aug →
vertigo	13–2	-0.06	23%	29 Jul →
boulder	13–3	0.12	11%	27 Jul →
anubis	16–13	0.02	20%	27 Jul →
anubis	2–13	0.00	12%	27 Jul →
train	12–12	0.00	15%	23 Jul →
mirage	11–13	0.06	16%	23 Jul →
vertigo	11–13	0.01	18%	23 Jul →
vertigo	9–5	-0.00	15%	23 Jul →
nuke	2–13	-0.09	21%	23 Jul →
mirage	12–12	0.00	19%	23 Jul →
cache	13–10	0.03	19%	23 Jul →
overpass	13–10	-0.05	16%	22 Jul →
shelter	13–10	0.00	22%	22 Jul →
boulder	13–2	0.23	14%	22 Jul →
cache	13–7	-0.08	13%	21 Jul →
nuke	6–13	-0.04	18%	21 Jul →
cache	13–4	0.03	11%	21 Jul →
inferno	13–9	-0.02	18%	21 Jul →
cache	13–11	-0.03	20%	21 Jul →
cache	11–13	0.01	13%	21 Jul →
cache	7–13	-0.05	9%	21 Jul →
nuke	13–5	0.02	8%	20 Jul →
vertigo	13–11	0.00	13%	20 Jul →
train	8–13	-0.03	15%	20 Jul →
fachwerk	13–3	0.01	20%	20 Jul →
ancient	12–12	-0.05	9%	20 Jul →
fachwerk	13–7	0.08	11%	20 Jul →
anubis	13–5	0.04	14%	20 Jul →
vertigo	13–8	-0.01	16%	19 Jul →
train	13–2	0.04	14%	19 Jul →
inferno	13–10	0.01	13%	19 Jul →
mirage	11–13	-0.01	15%	19 Jul →
vertigo	13–3	0.10	23%	19 Jul →
train	13–5	0.07	16%	18 Jul →
inferno	13–7	0.04	12%	18 Jul →
boulder	13–2	0.10	23%	18 Jul →
cache	4–13	-0.03	7%	18 Jul →
overpass	8–8	-0.07	7%	17 Jul →
nuke	9–13	-0.04	24%	17 Jul →
inferno	13–11	0.03	15%	16 Jul →
cache	13–3	0.00	9%	16 Jul →
inferno	7–13	-0.11	9%	16 Jul →
ancient	10–13	-0.07	13%	16 Jul →
anubis	15–15	0.01	9%	15 Jul →
ancient	13–3	-0.02	15%	15 Jul →
nuke	13–10	0.03	7%	15 Jul →
nuke	15–15	-0.04	13%	14 Jul →
anubis	13–9	0.02	9%	14 Jul →
nuke	13–1	0.05	14%	14 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches

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

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