kentman_ — CS2 Stats

DE76561197976039369[U:1:15773641]Steam profile ↗✓ No bans

4,207Tracked matches50%Win rate2020Tracked since

CSDB Rating5.3 DevelopingPassive Rifler

Premier CS Rating20,323Pink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#11906 of 30728 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73

Positioning36

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY42–48–10Last 10042%Win rateWLWWLLWLLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim7.3

Aggression2.3

Utility3.9

Positioning3.6

Opening Duels0.0

Clutch2.2

Strong CT-side openerLimited 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.

Your pro match

Plays most like NiKo 77% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower opening-fight frequency.

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 38 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.

T-side openings. Opening success drops from 44% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim7.3

Positioning3.6

Utility3.9

Mechanics7.1

Opening Duels1.7

Win Impact5.0

Composite 5.3/10 (Developing), 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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time554ms−101ms

first ⅓ avg 655ms → last ⅓ avg 554ms

Headshot accuracy12.2%−1.2%

first ⅓ avg 13.5% → last ⅓ avg 12.2%

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.

Highlights

0.16Best rating — shelter 12–2

13–0Biggest win — boulder

5Longest win streak

3–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	-0.01
cache	B	15	7–8	47%	-0.01
fachwerk	C	14	5–9	36%	-0.01
boulder	A	11	6–5	55%	-0.02
anubis	S	9	6–3	67%	-0.01
mirage	D	7	2–5	29%	-0.02
shelter	B	6	3–3	50%	0.04
inferno	D	6	1–5	17%	-0.02
nuke	—	4	1–3	25%	0.01
ancient	—	3	1–2	33%	0.03
debris	—	1	0–1	0%	-0.01
eldorado	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

577Matches

51%Win rate

0.91Avg K/D

86.0ADR

31%Headshot %

Clutches & streaks

31%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	34	50%	1.02	15.7
Anubis	18	61%	1.25	17.7
Ancient	16	56%	0.86	14.8
Inferno	15	67%	0.96	15.9
Nuke	14	64%	1.02	15.1
Mirage	12	58%	1.07	18.5
Vertigo	7	29%	0.74	14.3
Overpass	2	50%	0.80	9.5

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.

11.2%Headshot accuracy

37.8%Accuracy (enemy spotted)

38.2%Spray accuracy

81.9%Counter-strafing

8.9°Preaim

555msReaction time

14.2%T opening success

43.7%CT opening success

0.41Enemies flashed / flash

2.1%Flash assists

9.15HE damage / grenade

4.30Flashes / 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.

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 11.1838% — 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 0.407 — below the 0.5 mark we flag
Grenade Lineups →
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 14.1655% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
shelter	13–9	-0.01	22%	27 Aug →
fachwerk	10–13	-0.03	20%	27 Aug →
fachwerk	13–4	0.00	10%	27 Aug →
nuke	13–10	0.01	12%	27 Aug →
nuke	7–13	0.07	5%	27 Aug →
fachwerk	7–13	-0.05	11%	27 Aug →
boulder	13–7	0.01	5%	25 Aug →
fachwerk	7–13	0.01	10%	24 Aug →
boulder	4–13	-0.04	13%	24 Aug →
boulder	13–1	-0.06	5%	23 Aug →
dust2	13–8	0.03	17%	23 Aug →
cache	2–13	-0.08	13%	23 Aug →
dust2	12–12	-0.04	11%	23 Aug →
mirage	12–12	0.02	14%	23 Aug →
anubis	3–13	-0.06	8%	23 Aug →
dust2	12–12	-0.02	8%	23 Aug →
shelter	10–13	-0.04	10%	22 Aug →
shelter	9–13	-0.00	17%	21 Aug →
boulder	0–4	-0.12	33%	21 Aug →
anubis	13–6	0.02	16%	21 Aug →
mirage	10–13	0.02	7%	21 Aug →
cache	13–5	-0.10	3%	20 Aug →
dust2	16–14	-0.02	11%	20 Aug →
anubis	13–4	-0.00	8%	20 Aug →
shelter	13–7	0.04	10%	20 Aug →
boulder	13–10	-0.03	8%	19 Aug →
anubis	7–13	-0.05	11%	19 Aug →
fachwerk	12–12	-0.01	4%	19 Aug →
dust2	13–4	0.10	14%	17 Aug →
nuke	8–13	-0.02	11%	17 Aug →
dust2	11–13	-0.00	31%	17 Aug →
shelter	9–13	0.07	12%	15 Aug →
boulder	9–13	0.02	11%	14 Aug →
cache	13–5	0.02	15%	10 Aug →
dust2	13–4	0.06	20%	10 Aug →
boulder	13–10	-0.02	11%	7 Aug →
inferno	6–13	-0.03	3%	7 Aug →
dust2	9–13	0.02	13%	7 Aug →
dust2	8–13	-0.08	21%	5 Aug →
mirage	9–13	-0.04	8%	5 Aug →
cache	7–13	-0.05	21%	5 Aug →
inferno	2–7	-0.09	13%	5 Aug →
dust2	12–12	-0.08	7%	5 Aug →
inferno	13–3	0.12	20%	4 Aug →
anubis	13–2	0.03	18%	4 Aug →
boulder	2–6	0.00	30%	4 Aug →
fachwerk	11–13	-0.01	21%	3 Aug →
fachwerk	9–13	0.00	13%	3 Aug →
fachwerk	0–11	-0.04	13%	3 Aug →
boulder	13–0	-0.04	9%	3 Aug →
fachwerk	13–3	0.02	14%	3 Aug →
fachwerk	13–8	-0.03	16%	3 Aug →
fachwerk	10–13	-0.03	12%	3 Aug →
fachwerk	13–5	0.01	12%	2 Aug →
fachwerk	11–13	-0.01	11%	2 Aug →
fachwerk	13–8	-0.03	9%	2 Aug →
shelter	12–2	0.16	20%	2 Aug →
boulder	4–11	0.03	21%	31 Jul →
boulder	13–7	0.02	11%	31 Jul →
dust2	15–15	-0.01	16%	26 Jul →
mirage	13–8	0.00	11%	25 Jul →
cache	10–13	0.00	12%	22 Jul →
dust2	13–4	-0.01	12%	20 Jul →
anubis	13–7	-0.01	19%	20 Jul →
mirage	6–13	-0.03	11%	16 Jul →
anubis	6–13	-0.03	13%	16 Jul →
mirage	13–5	-0.01	19%	15 Jul →
dust2	13–10	0.04	12%	15 Jul →
cache	5–13	-0.04	14%	15 Jul →
dust2	13–10	0.04	19%	15 Jul →
cache	15–15	-0.02	15%	15 Jul →
dust2	8–13	-0.10	7%	13 Jul →
cache	5–13	-0.03	10%	13 Jul →
dust2	13–10	0.04	15%	12 Jul →
anubis	13–6	-0.01	27%	12 Jul →
ancient	9–13	0.01	10%	12 Jul →
cache	13–9	0.03	8%	12 Jul →
nuke	8–13	-0.00	19%	12 Jul →
debris	6–9	-0.01	14%	12 Jul →
cache	13–10	-0.04	7%	12 Jul →
inferno	13–16	0.01	11%	12 Jul →
dust2	4–13	-0.09	7%	12 Jul →
inferno	1–13	-0.13	20%	12 Jul →
dust2	13–11	-0.06	14%	11 Jul →
anubis	13–1	0.02	6%	11 Jul →
dust2	11–13	0.01	18%	11 Jul →
cache	13–6	0.11	6%	11 Jul →
dust2	8–13	-0.06	14%	11 Jul →
ancient	11–13	0.01	17%	11 Jul →
cache	13–11	0.05	20%	11 Jul →
eldorado	8–8	-0.05	17%	11 Jul →
cache	11–13	-0.01	7%	10 Jul →
dust2	15–15	-0.01	18%	10 Jul →
cache	13–8	0.05	9%	10 Jul →
dust2	13–6	-0.05	14%	10 Jul →
mirage	3–13	-0.07	10%	10 Jul →
ancient	13–7	0.07	8%	10 Jul →
cache	11–13	-0.01	29%	10 Jul →
inferno	14–16	-0.00	12%	10 Jul →
dust2	12–12	-0.01	10%	10 Jul →