Keenap — CS2 Stats

76561198294503397[U:1:334237669]Steam profile ↗✓ No bans

322Tracked matches50%Win rate2020Tracked since

CSDB Rating5.7 SolidPassive Rifler

Premier CS Rating19,444Purple band · top ~10.7% of ranked players (population est.)

CSDB Leaderboard#11864 of 26214 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning47

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWWLWTWLLW

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.

Aim8.0

Aggression3.8

Utility4.9

Positioning4.7

Opening Duels1.1

Clutch3.0

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 88% playstyle similarity

Most alike: opening-duel success, 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 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.

T-side openings. Opening success drops from 45% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim8.0

Positioning4.7

Utility4.9

Mechanics6.6

Opening Duels1.8

Win Impact5.0

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-0.00+0.03

first ⅓ avg -0.03 → last ⅓ avg -0.00

Reaction time588ms−79ms

first ⅓ avg 667ms → last ⅓ avg 588ms

Headshot accuracy15.9%−3.1%

first ⅓ avg 19.0% → last ⅓ avg 15.9%

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

0.15Best rating — cache 13–1

13–1Biggest win — cache

7Longest win streak

6–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 56% over 32infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	32	18–14	56%	0.01
dust2	B	29	15–14	52%	-0.01
mirage	B	16	8–8	50%	-0.02
inferno	D	9	2–7	22%	-0.02
ancient	D	7	2–5	29%	0.01
overpass	—	3	0–3	0%	-0.08
nuke	—	2	1–1	50%	-0.02
train	—	1	1–0	100%	-0.00
vertigo	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

90Matches

44%Win rate

0.75Avg K/D

67.6ADR

44%Headshot %

Clutches & streaks

35%1v1 clutch win

16%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	19	47%	0.80	13.1
Dust2	12	42%	0.72	11.0
Inferno	8	50%	1.15	14.1
Overpass	4	25%	0.70	12.5
Nuke	3	33%	0.70	10.3
Train	3	67%	1.03	12.0
Ancient	2	50%	0.94	20.0
Cache	1	0%	0.71	15.0

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.

15.6%Headshot accuracy

39.2%Accuracy (enemy spotted)

46.3%Spray accuracy

79.5%Counter-strafing

9.5°Preaim

577msReaction time

24.1%T opening success

44.8%CT opening success

0.65Enemies flashed / flash

5.3%Flash assists

7.17HE damage / grenade

6.10Flashes / 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 24.079% — 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.

22% win rate across 9 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
dust2	11–13	0.02	14%	29 Aug →
cache	13–1	0.02	47%	29 Aug →
dust2	13–5	0.02	10%	29 Aug →
inferno	8–13	0.04	11%	29 Aug →
cache	13–1	-0.05	25%	29 Aug →
cache	12–12	-0.00	11%	29 Aug →
dust2	13–10	0.01	11%	23 Aug →
mirage	6–13	-0.02	19%	23 Aug →
ancient	13–16	-0.05	18%	22 Aug →
cache	13–11	-0.08	10%	22 Aug →
inferno	15–15	-0.05	15%	22 Aug →
ancient	8–13	0.00	23%	21 Aug →
dust2	13–9	0.02	19%	8 Aug →
dust2	2–13	0.01	27%	8 Aug →
nuke	4–13	-0.05	21%	2 Aug →
dust2	13–16	0.01	12%	2 Aug →
cache	13–5	-0.05	14%	1 Aug →
cache	7–13	-0.00	15%	20 Jul →
inferno	9–13	0.06	14%	20 Jul →
ancient	13–9	0.06	13%	20 Jul →
dust2	4–0	0.06	20%	20 Jul →
mirage	10–13	-0.02	22%	20 Jul →
dust2	11–13	-0.07	8%	18 Jul →
cache	13–6	0.06	13%	18 Jul →
ancient	0–13	-0.06	13%	18 Jul →
cache	7–13	-0.03	19%	18 Jul →
ancient	13–4	0.07	26%	18 Jul →
dust2	13–7	-0.06	9%	18 Jul →
mirage	13–7	-0.03	8%	18 Jul →
inferno	13–11	0.04	8%	16 Jul →
mirage	13–10	0.01	17%	16 Jul →
cache	13–8	0.00	6%	12 Jul →
dust2	13–4	-0.01	10%	12 Jul →
cache	7–13	-0.11	21%	12 Jul →
mirage	6–13	-0.01	26%	11 Jul →
inferno	6–13	-0.06	0%	11 Jul →
mirage	16–14	-0.02	18%	11 Jul →
cache	13–8	0.00	13%	11 Jul →
cache	13–5	0.04	12%	17 May →
dust2	13–6	0.05	19%	10 May →
cache	12–2	0.13	14%	7 May →
cache	11–13	-0.06	2%	7 May →
cache	2–6	-0.03	10%	7 May →
cache	7–13	-0.01	15%	5 May →
cache	13–7	0.07	17%	5 May →
cache	5–13	-0.03	9%	5 May →
cache	13–6	0.11	13%	5 May →
cache	3–13	0.05	10%	5 May →
cache	13–9	0.06	14%	5 May →
mirage	13–8	-0.02	10%	4 May →
ancient	11–13	0.02	16%	4 May →
cache	13–4	0.00	6%	1 May →
cache	13–2	-0.01	12%	1 May →
cache	13–9	0.05	22%	1 May →
cache	13–1	0.15	53%	1 May →
cache	9–13	-0.05	15%	1 May →
cache	13–8	0.04	27%	1 May →
cache	11–13	0.00	20%	1 May →
cache	5–13	-0.01	20%	1 May →
cache	7–13	-0.07	13%	1 May →
cache	13–11	0.08	16%	1 May →
train	13–9	-0.00	24%	26 Apr →
cache	13–16	-0.05	19%	25 Apr →
mirage	10–13	-0.04	14%	25 Apr →
dust2	13–2	0.08	27%	18 Apr →
inferno	13–7	0.11	22%	18 Apr →
overpass	4–13	-0.06	11%	18 Apr →
inferno	5–13	0.01	32%	18 Apr →
mirage	13–9	0.01	16%	11 Apr →
mirage	2–13	-0.04	25%	29 Mar →
overpass	9–13	-0.10	19%	29 Mar →
inferno	4–13	-0.04	55%	29 Mar →
ancient	3–13	-0.00	18%	28 Mar →
dust2	4–13	-0.04	14%	21 Mar →
mirage	13–10	0.01	25%	21 Mar →
dust2	8–13	-0.06	20%	20 Mar →
mirage	13–11	-0.08	22%	19 Mar →
dust2	11–13	-0.07	19%	19 Mar →
dust2	11–13	-0.06	18%	15 Mar →
dust2	10–13	-0.03	22%	13 Mar →
dust2	6–13	-0.04	15%	8 Mar →
nuke	13–11	0.00	8%	8 Mar →
mirage	13–5	0.00	10%	8 Mar →
mirage	12–12	0.01	10%	8 Mar →
dust2	5–13	-0.07	29%	8 Mar →
vertigo	9–0	0.10	54%	8 Mar →
inferno	1–9	-0.26	0%	8 Mar →
mirage	9–13	-0.04	21%	7 Mar →
dust2	13–3	0.00	16%	6 Mar →
dust2	13–9	-0.04	23%	1 Mar →
overpass	9–13	-0.08	15%	1 Mar →
mirage	9–13	-0.05	10%	1 Mar →
dust2	13–8	-0.03	19%	1 Mar →
dust2	12–12	-0.02	13%	1 Mar →
dust2	7–13	-0.05	15%	26 Feb →
dust2	13–9	0.04	9%	26 Feb →
dust2	13–6	-0.02	17%	26 Feb →
dust2	13–6	0.01	5%	26 Feb →
dust2	6–13	0.02	17%	26 Feb →
dust2	13–10	0.01	18%	26 Feb →