Pars — CS2 Stats

76561198334777184[U:1:374511456]

1,784Tracked matches57%Win rate2020Tracked since

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating14,553Blue band · top ~30.8% of ranked players (population est.)

CSDB Leaderboard#13992 of 21396 tracked

FaceitLevel 5 · 1,124 ELOTop 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

1,124Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,124
Next: Level 6 at 1,201 — 77 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-08-28
Level 4 first seen 2026-08-28

Premier CS Rating

At peak — 14,553
Next: Purple band at 15,000 — 447 to go
Reached: Blue band · Light Blue band

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim75

Positioning54

Utility54

0–100 skill scores via Leetify.

Recent form

HOT45–51–4Last 10045%Win rateWWWWLLLWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating

Player DNA

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

Aim7.5

Aggression7.1

Utility5.4

Positioning5.4

Opening Duels2.2

Clutch1.0

Strong CT-side openerEffective flashes

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 90% playstyle similarity

Most alike: opening-fight frequency, 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 52% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim7.5

Positioning5.4

Utility5.4

Mechanics5.1

Opening Duels2.8

Win Impact7.2

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time591ms−7ms

first ⅓ avg 598ms → last ⅓ avg 591ms

Headshot accuracy14.1%+4.1%

first ⅓ avg 10.0% → last ⅓ avg 14.1%

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

0.12Best rating — ancient 13–5

13–2Biggest win — mirage

4Longest win streak

W4Current streak

9–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 80% over 10infernoWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	12–13	48%	0.01
dust2	D	16	5–11	31%	0.01
cache	C	14	5–9	36%	0.01
inferno	D	13	3–10	23%	-0.01
ancient	S	10	8–2	80%	0.02
anubis	D	7	2–5	29%	0.01
overpass	A	7	4–3	57%	0.02
nuke	S	6	4–2	67%	-0.02
office	—	2	2–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

169Matches

51%Win rate

0.91Avg K/D

69.3ADR

34%Headshot %

Clutches & streaks

25%1v1 clutch win

50%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	28	64%	1.09	13.6
Inferno	16	50%	0.91	13.5
Vertigo	15	53%	1.28	14.5
Ancient	11	82%	1.12	16.6
Overpass	10	50%	1.44	14.4
Nuke	7	29%	0.88	13.6
Dust2	6	50%	0.80	11.7
Anubis	5	80%	0.85	14.2

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.

13.6%Headshot accuracy

43.2%Accuracy (enemy spotted)

42.6%Spray accuracy

72.7%Counter-strafing

9.9°Preaim

585msReaction time

25.8%T opening success

52.0%CT opening success

0.74Enemies flashed / flash

4.9%Flash assists

9.09HE damage / grenade

6.34Flashes / 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 13.5655% — below the 15% mark we flag
Aim Training →
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 25.7604% — 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.

23% win rate across 13 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
ancient	13–8	0.01	21%	29 Aug →
mirage	13–2	0.05	43%	28 Aug →
mirage	16–12	0.03	13%	28 Aug →
cache	13–6	0.09	14%	28 Aug →
nuke	8–13	0.01	11%	28 Aug →
dust2	5–13	0.10	19%	27 Aug →
dust2	11–13	0.02	15%	27 Aug →
ancient	13–11	0.02	12%	27 Aug →
cache	13–5	0.07	6%	27 Aug →
mirage	13–8	0.03	9%	26 Aug →
anubis	10–13	0.06	10%	26 Aug →
nuke	13–11	-0.00	7%	26 Aug →
mirage	9–13	0.04	9%	25 Aug →
dust2	7–13	-0.09	3%	24 Aug →
anubis	13–8	-0.04	9%	24 Aug →
mirage	16–12	0.02	18%	24 Aug →
inferno	10–13	-0.02	11%	23 Aug →
mirage	11–13	-0.03	7%	23 Aug →
nuke	13–4	-0.01	17%	22 Aug →
mirage	10–13	0.02	16%	9 Jun →
mirage	13–5	0.11	9%	9 Jun →
dust2	7–13	0.09	27%	9 Jun →
overpass	13–16	-0.03	8%	28 May →
dust2	13–3	-0.01	16%	28 May →
overpass	7–13	0.08	20%	18 May →
inferno	14–16	-0.08	15%	17 May →
dust2	13–4	-0.07	17%	17 May →
dust2	13–10	0.04	15%	17 May →
mirage	13–11	-0.00	15%	15 May →
mirage	13–11	0.06	11%	14 May →
mirage	2–13	-0.05	20%	14 May →
mirage	13–7	0.04	18%	14 May →
mirage	9–13	0.01	8%	13 May →
office	13–7	0.05	5%	13 May →
office	13–2	0.08	15%	13 May →
inferno	8–13	0.06	9%	13 May →
mirage	11–13	-0.02	8%	11 May →
dust2	7–13	0.03	16%	10 May →
nuke	13–8	-0.06	14%	10 May →
cache	13–7	-0.02	15%	9 May →
cache	9–13	0.03	14%	9 May →
cache	12–12	-0.03	13%	9 May →
overpass	13–11	-0.04	12%	7 May →
ancient	13–6	0.02	15%	7 May →
cache	9–13	-0.03	4%	6 May →
mirage	13–11	-0.05	13%	6 May →
cache	6–13	0.01	6%	6 May →
mirage	5–13	-0.03	36%	4 May →
mirage	6–13	-0.03	13%	4 May →
cache	10–13	0.06	7%	3 May →
cache	8–13	0.03	16%	3 May →
inferno	6–13	-0.02	13%	3 May →
mirage	15–15	-0.00	6%	3 May →
overpass	13–6	0.08	11%	3 May →
cache	2–13	-0.00	10%	3 May →
dust2	9–13	-0.01	12%	3 May →
mirage	10–13	0.00	15%	2 May →
cache	13–8	-0.04	7%	2 May →
cache	9–13	-0.01	16%	2 May →
mirage	13–8	0.03	11%	2 May →
cache	12–12	0.01	8%	1 May →
cache	10–5	0.04	6%	30 Apr →
anubis	10–13	-0.00	14%	28 Apr →
overpass	13–9	0.00	21%	28 Apr →
dust2	14–16	-0.01	13%	27 Apr →
overpass	7–13	0.04	7%	27 Apr →
inferno	14–16	0.00	8%	20 Apr →
mirage	9–13	0.01	7%	18 Apr →
ancient	2–13	-0.03	8%	16 Apr →
inferno	10–13	-0.05	5%	15 Apr →
dust2	10–13	0.09	7%	15 Apr →
anubis	13–9	0.00	12%	15 Apr →
inferno	13–8	-0.01	5%	15 Apr →
mirage	11–13	0.02	11%	14 Apr →
nuke	4–13	0.02	13%	14 Apr →
ancient	13–5	0.03	13%	14 Apr →
dust2	13–8	-0.01	6%	14 Apr →
mirage	13–11	-0.02	11%	14 Apr →
mirage	13–6	0.02	16%	14 Apr →
dust2	9–13	-0.01	13%	14 Apr →
anubis	10–13	0.04	13%	13 Apr →
ancient	13–5	0.12	5%	13 Apr →
ancient	13–8	-0.01	6%	13 Apr →
mirage	4–13	-0.04	14%	13 Apr →
dust2	13–7	0.01	20%	13 Apr →
inferno	16–13	0.05	10%	13 Apr →
dust2	5–13	-0.01	13%	13 Apr →
ancient	13–7	0.03	13%	13 Apr →
inferno	8–13	0.04	8%	13 Apr →
inferno	10–13	0.02	7%	12 Apr →
inferno	13–16	-0.05	12%	12 Apr →
ancient	13–6	-0.02	11%	12 Apr →
ancient	10–13	0.05	10%	8 Apr →
anubis	10–13	0.03	11%	8 Apr →
dust2	11–13	-0.04	7%	7 Apr →
nuke	13–8	-0.06	9%	7 Apr →
anubis	15–15	-0.03	8%	7 Apr →
inferno	16–14	0.01	4%	6 Apr →
overpass	13–11	0.00	11%	6 Apr →
inferno	3–9	-0.07	11%	5 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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

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