Tharus — CS2 Stats

RO76561198874859719[U:1:914593991]Steam profile ↗✓ No bans

730Tracked matches66%Win rate2020Tracked since

2,173Hours in CS12Hrs last 2 wks

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating22,702Top 50% of 44,590 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#13164 of 56778 tracked

Ladder ranks via Leetify

Rating over time

22,702Peak Premier on CSDB

1,676Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 1,676
Next: Level 9 at 1,751 — 75 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-30
Level 7 first seen 2026-08-30

Premier CS Rating

At peak — 22,702
Next: Red band at 25,000 — 2,298 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=9,423), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	Red band median	vs Red band
Headshot rate	46.4%	47.1%	49.8%	3.4% short
Shot accuracy	12.0%	12.8%	13.4%	1.4% short
Kill/death ratio	0.97	1.08	1.12	0.16 short
Match win rate	47.4%	46.7%	48.6%	1.2% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim70

Positioning45

Utility67

0–100 skill scores via Leetify.

Recent form

HOT53–42–5Last 10053%Win rateWWWWWWWLLW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

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

Aim7.0

Aggression5.1

Utility6.7

Positioning4.5

Opening Duels0.9

Clutch3.8

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 NiKo 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 43% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim7.0

Positioning4.5

Utility6.7

Mechanics6.8

Opening Duels1.6

Win Impact10.0

Composite 6.3/10 (Solid), 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-0.02−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time631ms−42ms

first ⅓ avg 673ms → last ⅓ avg 631ms

Headshot accuracy17.7%−0.9%

first ⅓ avg 18.6% → last ⅓ avg 17.7%

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 — mirage 13–11

13–1Biggest win — ancient

7Longest win streak

W7Current streak

7–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 58% over 19ancientWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	44	23–21	52%	0.00
inferno	A	19	11–8	58%	0.00
ancient	C	14	6–8	43%	-0.02
mirage	B	11	5–6	45%	0.01
cache	A	7	4–3	57%	-0.02
nuke	—	3	2–1	67%	0.00
vertigo	—	1	1–0	100%	-0.04
train	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,202Lifetime kills

0.97K/D

2,654Matches

47.4%Match win rate · Top 50% of Pink band

46.4%Headshot %

12.0%Shot accuracy

5,573MVPs

1,112Hours (in match)

3,164Bombs planted

510Bombs defused

Most-used weapons

AK-4717,199

M4A4 / M4A1-S13,067

MP75,137

P2000 / USP-S2,977

FAMAS2,653

Glock-182,560

Desert Eagle1,782

Galil AR1,477

AWP853

Five-SeveN708

Lifetime map wins

11,238dust2

3,732inferno

445vertigo

410nuke

147train

29office

5bank

2cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

272Matches

51%Win rate

1.03Avg K/D

77.9ADR

44%Headshot %

Clutches & streaks

39%1v1 clutch win

18%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	96	52%	1.05	15.2
Inferno	63	44%	1.06	15.8
Mirage	56	45%	1.05	16.0
Ancient	26	65%	0.99	15.2
Anubis	6	50%	1.17	15.7
Overpass	4	75%	0.74	17.0
Cache	4	50%	0.78	11.0
Vertigo	3	67%	0.99	12.0

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.

17.6%Headshot accuracy

34.0%Accuracy (enemy spotted)

38.5%Spray accuracy

80.7%Counter-strafing

8.9°Preaim

618msReaction time

24.7%T opening success

42.8%CT opening success

0.76Enemies flashed / flash

15.1%Flash assists

9.41HE damage / grenade

14.72Flashes / 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 24.7145% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–10	-0.04	12%	27 Aug →
ancient	13–11	-0.01	21%	25 Aug →
cache	13–3	-0.04	24%	25 Aug →
ancient	13–8	-0.10	11%	25 Aug →
dust2	16–12	-0.05	29%	25 Aug →
nuke	13–7	0.04	11%	25 Aug →
cache	13–3	0.00	29%	24 Aug →
dust2	6–13	-0.05	32%	19 Aug →
ancient	2–7	-0.05	12%	18 Aug →
ancient	13–11	-0.01	8%	18 Aug →
dust2	13–8	-0.02	31%	18 Aug →
dust2	13–4	0.05	10%	18 Aug →
dust2	15–15	0.00	18%	15 Aug →
dust2	8–13	-0.01	18%	15 Aug →
ancient	14–16	-0.07	14%	13 Aug →
cache	13–9	-0.05	9%	13 Aug →
inferno	13–7	-0.07	17%	12 Aug →
dust2	13–10	-0.00	17%	12 Aug →
ancient	13–8	-0.02	15%	12 Aug →
dust2	10–13	-0.07	10%	10 Aug →
dust2	13–7	0.02	25%	10 Aug →
dust2	14–16	-0.01	17%	10 Aug →
mirage	13–9	-0.05	19%	31 Jul →
dust2	13–5	0.03	24%	29 Jul →
inferno	15–19	0.01	17%	28 Jul →
inferno	13–9	-0.04	10%	28 Jul →
mirage	11–13	-0.02	9%	25 Jul →
dust2	5–13	0.07	14%	25 Jul →
nuke	13–6	0.03	25%	25 Jul →
inferno	7–13	-0.04	27%	23 Jul →
cache	3–13	-0.12	25%	20 Jul →
dust2	8–13	-0.07	6%	19 Jul →
dust2	10–13	-0.02	20%	19 Jul →
inferno	13–6	0.12	24%	19 Jul →
dust2	5–13	0.05	24%	19 Jul →
dust2	13–11	0.06	18%	19 Jul →
dust2	13–6	0.03	14%	17 Jul →
ancient	13–5	0.11	8%	17 Jul →
dust2	13–9	-0.01	17%	17 Jul →
nuke	10–13	-0.06	28%	17 Jul →
dust2	16–12	0.03	25%	17 Jul →
dust2	7–13	-0.01	13%	16 Jul →
dust2	13–10	-0.00	12%	16 Jul →
ancient	13–1	0.12	18%	16 Jul →
inferno	13–7	-0.05	11%	16 Jul →
dust2	13–8	-0.04	24%	16 Jul →
dust2	13–11	-0.02	18%	16 Jul →
dust2	6–13	0.01	24%	16 Jul →
ancient	6–13	0.07	19%	16 Jul →
mirage	6–13	0.00	21%	14 Jul →
inferno	12–12	0.06	12%	14 Jul →
dust2	13–4	0.08	14%	14 Jul →
dust2	9–13	-0.05	17%	14 Jul →
dust2	6–13	0.07	22%	14 Jul →
mirage	11–13	-0.01	21%	14 Jul →
inferno	13–8	-0.02	38%	13 Jul →
dust2	5–13	-0.05	52%	13 Jul →
mirage	13–6	-0.06	13%	13 Jul →
inferno	13–7	0.03	21%	13 Jul →
dust2	13–5	0.06	22%	13 Jul →
dust2	13–4	0.03	38%	13 Jul →
dust2	11–13	0.04	24%	13 Jul →
inferno	6–13	-0.04	18%	12 Jul →
dust2	13–11	-0.06	19%	12 Jul →
ancient	7–13	-0.06	9%	12 Jul →
inferno	13–2	-0.03	30%	12 Jul →
cache	12–12	0.08	26%	12 Jul →
cache	13–2	0.05	9%	12 Jul →
inferno	9–13	0.01	19%	2 Jul →
cache	9–13	-0.04	20%	27 Jun →
mirage	13–10	0.13	15%	27 Jun →
dust2	10–13	0.07	25%	27 Jun →
inferno	13–10	0.05	18%	27 Jun →
dust2	13–5	0.09	31%	27 Jun →
mirage	3–8	0.03	8%	20 Jun →
dust2	12–12	0.08	18%	20 Jun →
inferno	3–13	-0.01	15%	20 Jun →
dust2	4–13	-0.01	22%	20 Jun →
inferno	10–13	-0.00	7%	20 Jun →
dust2	13–6	-0.02	29%	20 Jun →
dust2	13–11	-0.05	27%	20 Jun →
inferno	13–6	0.12	25%	19 Jun →
mirage	13–11	0.16	22%	19 Jun →
mirage	11–13	-0.00	22%	19 Jun →
dust2	13–8	0.05	22%	18 Jun →
train	13–6	0.03	19%	18 Jun →
mirage	0–13	-0.06	11%	18 Jun →
dust2	6–13	-0.04	26%	18 Jun →
ancient	10–13	0.01	13%	16 Jun →
dust2	9–13	-0.11	18%	16 Jun →
ancient	11–13	-0.08	16%	16 Jun →
mirage	13–3	0.00	28%	14 Jun →
dust2	13–6	-0.03	19%	14 Jun →
dust2	13–3	0.07	22%	14 Jun →
inferno	13–9	-0.10	18%	14 Jun →
ancient	15–15	-0.07	11%	14 Jun →
dust2	10–13	-0.07	17%	14 Jun →
inferno	8–13	-0.07	12%	14 Jun →
inferno	13–8	0.10	18%	14 Jun →
ancient	14–16	-0.05	13%	2 Jun →