Conker — CS2 Stats

76561198127740320[U:1:167474592]Steam profile ↗✓ No bans

378Tracked matches36%Win rate2020Tracked since

CSDB Rating2.3 Learning

Premier CS Rating7,056Light Blue band · top ~69% of ranked players (population est.)

CSDB Leaderboard#20721 of 27369 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim25

Positioning42

Utility17

0–100 skill scores via Leetify.

Recent form

COLD35–53–12Last 10035%Win rateLLLWLLLLLW

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

Player DNA

Aim2.5

Aggression1.0

Utility1.7

Positioning4.2

Opening Duels0.0

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

Plays most like NiKo 62% playstyle similarity

Most alike: positioning profile, 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. 662ms 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

Aim2.5

Positioning4.2

Utility1.7

Mechanics4.4

Opening Duels0.0

Win Impact0.2

Composite 2.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time675ms−26ms

first ⅓ avg 701ms → last ⅓ avg 675ms

Headshot accuracy14.9%−0.5%

first ⅓ avg 15.4% → last ⅓ avg 14.9%

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

0.07Best rating — inferno 13–8

13–1Biggest win — inferno

3Longest win streak

L3Current streak

3–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 50% over 16mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	22	4–18	18%	-0.03
nuke	C	16	7–9	44%	-0.04
dust2	B	16	8–8	50%	-0.03
inferno	C	15	6–9	40%	-0.02
ancient	C	9	4–5	44%	-0.05
anubis	D	8	2–6	25%	-0.03
mirage	D	6	1–5	17%	-0.04
overpass	—	3	2–1	67%	0.01
office	—	2	0–2	0%	-0.04
vertigo	—	2	1–1	50%	-0.06
train	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

41Matches

32%Win rate

0.66Avg K/D

—ADR

34%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	1	0%	0.56	9.0
Mirage	1	100%	0.90	9.0
Ancient	1	0%	0.25	4.0

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.

14.6%Headshot accuracy

27.3%Accuracy (enemy spotted)

28.1%Spray accuracy

70.0%Counter-strafing

12.6°Preaim

662msReaction time

23.6%T opening success

28.8%CT opening success

0.40Enemies flashed / flash

1.4%Flash assists

4.33HE damage / grenade

2.25Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5993° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.567% — below the 15% mark we flag
Aim Training →
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 0.3968 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	3–13	-0.09	17%	19 Aug →
nuke	4–13	-0.09	3%	19 Aug →
nuke	6–13	-0.03	14%	18 Aug →
nuke	13–8	-0.06	14%	18 Aug →
anubis	9–13	-0.01	18%	18 Aug →
cache	8–13	-0.03	14%	18 Aug →
nuke	7–13	-0.06	7%	18 Aug →
dust2	8–13	-0.07	15%	15 Aug →
nuke	10–13	-0.07	28%	11 Aug →
nuke	13–5	-0.04	7%	11 Aug →
inferno	3–7	0.02	24%	10 Aug →
dust2	4–13	-0.08	19%	10 Aug →
ancient	13–10	0.01	16%	10 Aug →
dust2	2–13	-0.09	22%	4 Aug →
nuke	9–13	-0.04	11%	3 Aug →
anubis	11–13	-0.07	17%	3 Aug →
inferno	5–13	-0.04	13%	3 Aug →
dust2	5–5	-0.00	13%	2 Aug →
inferno	13–8	0.07	13%	2 Aug →
ancient	10–13	-0.06	12%	2 Aug →
inferno	13–11	-0.04	10%	2 Aug →
inferno	9–13	0.02	6%	1 Aug →
inferno	11–13	0.03	19%	31 Jul →
nuke	13–10	0.00	23%	31 Jul →
cache	13–6	-0.02	14%	31 Jul →
nuke	13–4	-0.02	28%	31 Jul →
train	1–13	-0.10	5%	29 Jul →
cache	12–12	-0.01	16%	29 Jul →
inferno	8–13	0.01	9%	28 Jul →
nuke	13–4	-0.00	19%	28 Jul →
inferno	12–12	-0.05	15%	27 Jul →
cache	13–8	-0.01	19%	27 Jul →
dust2	2–13	-0.06	17%	27 Jul →
nuke	12–12	-0.01	10%	27 Jul →
cache	8–13	-0.03	19%	24 Jul →
ancient	13–11	-0.05	8%	24 Jul →
inferno	13–8	-0.03	11%	22 Jul →
cache	7–13	-0.09	15%	22 Jul →
dust2	13–8	0.01	27%	22 Jul →
dust2	13–10	0.02	11%	22 Jul →
mirage	15–15	-0.02	15%	22 Jul →
nuke	0–8	-0.04	8%	22 Jul →
inferno	9–13	-0.02	19%	21 Jul →
cache	13–9	0.01	15%	21 Jul →
ancient	13–9	-0.04	10%	20 Jul →
cache	4–13	-0.05	13%	20 Jul →
dust2	13–4	-0.03	4%	20 Jul →
nuke	13–6	0.02	13%	17 Jul →
cache	7–13	-0.05	10%	17 Jul →
anubis	5–13	-0.01	14%	17 Jul →
dust2	4–13	-0.02	13%	17 Jul →
cache	15–15	0.03	16%	16 Jul →
dust2	4–13	-0.04	12%	16 Jul →
ancient	15–15	-0.06	15%	14 Jul →
anubis	5–13	-0.08	12%	14 Jul →
dust2	13–2	-0.05	18%	13 Jul →
dust2	13–7	0.01	24%	13 Jul →
cache	12–12	0.03	15%	13 Jul →
cache	7–13	-0.09	19%	13 Jul →
inferno	10–13	-0.05	11%	13 Jul →
cache	10–13	-0.03	16%	10 Jul →
nuke	13–7	-0.07	16%	10 Jul →
dust2	13–9	-0.04	18%	9 Jul →
cache	10–13	-0.04	27%	9 Jul →
cache	10–13	0.00	20%	9 Jul →
cache	3–13	-0.03	15%	2 Jul →
anubis	13–6	-0.05	11%	2 Jul →
nuke	7–13	-0.04	18%	2 Jul →
office	2–13	-0.07	9%	2 Jul →
overpass	4–13	-0.02	17%	2 Jul →
cache	4–13	-0.00	13%	30 Jun →
inferno	13–1	0.01	2%	30 Jun →
vertigo	8–13	-0.05	14%	30 Jun →
vertigo	13–9	-0.06	11%	30 Jun →
overpass	13–10	0.05	15%	29 Jun →
inferno	13–9	-0.03	23%	29 Jun →
cache	12–12	-0.07	12%	29 Jun →
ancient	13–8	-0.06	14%	29 Jun →
office	12–12	-0.01	13%	26 Jun →
inferno	9–2	-0.02	33%	26 Jun →
dust2	13–10	-0.01	20%	26 Jun →
ancient	10–13	-0.04	16%	25 Jun →
cache	6–13	-0.04	24%	25 Jun →
mirage	15–15	-0.03	17%	25 Jun →
nuke	2–13	-0.09	10%	24 Jun →
cache	12–12	-0.03	14%	24 Jun →
mirage	8–13	-0.01	21%	24 Jun →
dust2	4–13	-0.03	17%	23 Jun →
dust2	9–13	-0.00	13%	23 Jun →
mirage	13–8	-0.04	17%	23 Jun →
anubis	7–13	-0.09	9%	21 Jun →
cache	13–4	0.05	15%	21 Jun →
mirage	8–13	-0.04	8%	20 Jun →
cache	12–12	-0.03	14%	18 Jun →
mirage	8–13	-0.07	10%	18 Jun →
anubis	5–13	0.01	13%	18 Jun →
ancient	7–13	-0.03	17%	17 Jun →
inferno	11–13	-0.09	22%	17 Jun →
overpass	13–6	0.01	19%	15 Jun →
anubis	13–9	0.06	19%	11 Jun →