SWEARNGJONNY — CS2 Stats

76561197961407187[U:1:1141459]

7,799Tracked matches63%Win rate2020Tracked since

CSDB Rating7.9 StrongAggressive Rifler

Premier CS Rating26,938Top 25% of 819 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#1066 of 20755 tracked

FaceitLevel 10 · 2,755 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning61

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLLWWWLWLWW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.0

Aggression7.5

Utility7.0

Positioning6.1

Opening Duels4.3

Clutch4.2

Sharp aimerStrong 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 b1t 94% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning6.1

Utility7.0

Mechanics7.6

Opening Duels4.3

Win Impact9.4

Composite 7.9/10 (Strong), 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 rating0.02+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time518ms−33ms

first ⅓ avg 551ms → last ⅓ avg 518ms

Headshot accuracy22.1%−2.1%

first ⅓ avg 24.2% → last ⅓ avg 22.1%

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

0.17Best rating — anubis 13–4

13–0Biggest win — inferno

6Longest win streak

L2Current streak

11–12In matches decided by ≤2 rounds

15Overtime games

Map breakdown

cacheBest map · 73% over 11nukeWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	18	7–11	39%	0.01
inferno	A	15	9–6	60%	0.02
mirage	D	15	5–10	33%	-0.02
anubis	A	15	9–6	60%	0.01
dust2	C	14	6–8	43%	0.04
cache	S	11	8–3	73%	0.02
nuke	D	9	2–7	22%	0.01
overpass	—	3	2–1	67%	0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

6,954Matches

50%Win rate

1.22Avg K/D

83.2ADR

45%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1532	46%	1.18	17.1
Nuke	903	55%	1.33	18.4
Anubis	862	53%	1.27	17.4
Ancient	555	49%	1.18	16.4
Inferno	402	47%	1.17	16.5
Overpass	362	48%	1.20	16.7
Dust2	294	40%	1.13	16.2
Train	234	53%	1.33	18.1

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.

21.7%Headshot accuracy

41.7%Accuracy (enemy spotted)

38.5%Spray accuracy

84.2%Counter-strafing

9.3°Preaim

510msReaction time

32.4%T opening success

62.1%CT opening success

0.61Enemies flashed / flash

8.9%Flash assists

11.78HE damage / grenade

12.60Flashes / 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 32.4493% — 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.

22% win rate across 9 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
inferno	13–16	0.02	17%	28 Aug →
mirage	11–13	-0.03	25%	28 Aug →
ancient	13–8	0.06	18%	28 Aug →
anubis	16–13	0.01	5%	27 Aug →
cache	13–11	-0.04	12%	22 Aug →
ancient	12–16	0.01	17%	22 Aug →
cache	13–8	0.06	11%	21 Aug →
inferno	14–16	0.04	26%	21 Aug →
ancient	13–11	-0.01	26%	21 Aug →
mirage	13–10	0.02	13%	21 Aug →
inferno	13–9	-0.04	28%	20 Aug →
mirage	13–8	-0.02	27%	19 Aug →
anubis	13–4	0.17	13%	18 Aug →
ancient	13–11	0.02	18%	17 Aug →
ancient	11–13	0.03	23%	17 Aug →
cache	13–11	0.08	22%	17 Aug →
cache	13–8	0.04	28%	16 Aug →
ancient	11–13	0.00	17%	16 Aug →
inferno	13–11	0.01	17%	16 Aug →
ancient	13–5	0.02	33%	15 Aug →
ancient	6–13	-0.03	39%	15 Aug →
cache	13–7	0.01	18%	13 Aug →
anubis	13–10	-0.01	13%	12 Aug →
ancient	13–16	0.02	19%	10 Aug →
dust2	16–14	0.05	24%	10 Aug →
dust2	13–9	0.08	13%	9 Aug →
anubis	5–13	-0.05	58%	8 Aug →
ancient	13–8	0.01	19%	6 Aug →
anubis	10–13	-0.06	31%	6 Aug →
inferno	4–13	0.01	43%	6 Aug →
dust2	11–13	0.04	24%	6 Aug →
mirage	13–16	0.02	26%	6 Aug →
dust2	13–9	0.08	8%	5 Aug →
inferno	13–3	0.13	16%	3 Aug →
dust2	11–13	0.04	12%	3 Aug →
ancient	9–13	-0.01	19%	2 Aug →
dust2	8–13	0.02	28%	2 Aug →
ancient	6–13	0.04	30%	1 Aug →
cache	13–9	-0.05	21%	31 Jul →
ancient	13–11	-0.03	17%	31 Jul →
mirage	11–13	-0.03	7%	31 Jul →
nuke	9–13	0.04	15%	31 Jul →
inferno	12–16	-0.01	24%	30 Jul →
ancient	5–13	-0.03	14%	29 Jul →
dust2	9–13	0.02	22%	29 Jul →
ancient	5–13	0.04	19%	29 Jul →
cache	10–13	0.04	15%	29 Jul →
mirage	13–9	0.04	27%	26 Jul →
mirage	13–16	-0.05	19%	24 Jul →
nuke	11–13	-0.08	13%	22 Jul →
dust2	5–13	0.03	28%	22 Jul →
nuke	8–13	0.01	20%	21 Jul →
ancient	9–13	-0.02	0%	19 Jul →
dust2	13–10	0.02	41%	18 Jul →
inferno	13–9	0.05	27%	18 Jul →
mirage	13–9	0.05	30%	18 Jul →
nuke	14–16	0.04	12%	16 Jul →
nuke	13–8	0.02	18%	14 Jul →
inferno	13–0	0.09	23%	13 Jul →
ancient	9–13	0.01	37%	11 Jul →
anubis	13–6	0.02	27%	11 Jul →
nuke	13–16	-0.03	34%	11 Jul →
nuke	13–2	0.03	32%	10 Jul →
inferno	13–10	0.04	12%	9 Jul →
dust2	12–16	0.02	31%	8 Jul →
cache	16–14	-0.00	23%	6 Jul →
inferno	13–7	0.03	30%	3 Jul →
inferno	4–13	-0.00	41%	3 Jul →
anubis	13–8	0.07	16%	2 Jul →
anubis	10–13	0.03	20%	2 Jul →
anubis	8–13	-0.02	31%	2 Jul →
inferno	13–10	0.02	26%	2 Jul →
dust2	13–2	0.01	24%	2 Jul →
inferno	13–10	0.03	20%	2 Jul →
inferno	9–13	-0.05	19%	1 Jul →
anubis	16–14	-0.05	26%	1 Jul →
dust2	11–13	0.04	34%	30 Jun →
anubis	6–13	-0.04	17%	29 Jun →
dust2	13–7	0.10	25%	28 Jun →
anubis	6–13	-0.07	13%	28 Jun →
dust2	9–13	0.04	20%	27 Jun →
mirage	2–13	-0.07	43%	27 Jun →
mirage	1–13	-0.09	21%	27 Jun →
cache	10–13	0.03	44%	23 Jun →
cache	11–13	0.05	42%	23 Jun →
mirage	13–11	0.00	24%	23 Jun →
mirage	10–13	-0.02	12%	18 Jun →
overpass	8–13	0.03	22%	18 Jun →
nuke	7–13	-0.02	21%	18 Jun →
anubis	16–12	0.03	14%	17 Jun →
overpass	13–11	0.01	21%	17 Jun →
anubis	13–4	0.04	17%	17 Jun →
mirage	11–13	-0.08	27%	9 Jun →
mirage	10–13	0.03	30%	9 Jun →
nuke	8–13	0.04	31%	8 Jun →
anubis	13–7	-0.00	28%	3 Jun →
cache	13–6	0.03	17%	1 Jun →
ancient	13–8	0.07	21%	30 May →
mirage	7–13	-0.04	13%	30 May →
overpass	13–9	-0.00	20%	29 May →