Textillim — CS2 Stats

SE76561198040829652[U:1:80563924]Steam profile ↗✓ No bans

599Tracked matches45%Win rate2025Tracked since

CSDB Rating5.2 DevelopingPositional Player

Premier CS Rating20,978Top 50% of 212,695 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)

CSDB Leaderboard#70072 of 259568 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−212Premier CS Rating · 21,190 → 20,978

Rating over time

Premier CS Rating: 20,978 -1,955 13 Aug – 2 Nov · 15 days played

22,933Peak Premier in tracked matches

35Days played since 2026-08-08

Premier CS Rating

1,955 below peak (22,933)
-1,955 over 90 days
Next: Red band at 25,000 — 4,022 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim63

Positioning56

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateLLLWWLTWWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.7pp headshot accuracy · +78ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 14%
Avg reaction 533ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.03
Avg headshot accuracy 14%
Avg reaction 559ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.04
Avg headshot accuracy 14%
Avg reaction 520ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+3.1 against its own average).

Aim6.3

Utility4.3

Positioning5.6

Opening Duels0.3

Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like iM 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 51% on T to 33% on CT — first contacts on the defending side are being lost.

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

Aim6.3

Positioning5.6

Utility4.3

Mechanics5.3

Opening Duels3.0

Win Impact3.3

Composite 5.2/10 (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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time506ms−14ms

first ⅓ avg 519ms → last ⅓ avg 506ms

Headshot accuracy14.2%−2.1%

first ⅓ avg 16.2% → last ⅓ avg 14.2%

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.

Personal bests

0.11Best match rating · 13–7 · cache, 4 Sept →

32%Best headshot accuracy · 6–13 · inferno, 20 Oct →

344msFastest reaction time · 13–7 · anubis, 26 Aug →

13–3Biggest win · cache, 23 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

L3Current streak

4–13In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 67% over 12infernoWeakest map · 13% over 16

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	20	7–13	35%	-0.03
inferno	D	16	2–14	13%	-0.03
ancient	B	16	8–8	50%	-0.02
dust2	C	16	6–10	38%	-0.02
cache	B	15	8–7	53%	-0.01
mirage	S	12	8–4	67%	-0.02
vertigo	—	2	1–1	50%	0.01
nuke	—	1	1–0	100%	0.01
train	—	1	0–1	0%	-0.03
debris	—	1	1–0	100%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

24Matches

38%Win rate

0.93Avg K/D

70.5ADR

43%Headshot %

Clutches & streaks

20%1v1 clutch win

30%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	4	0%	0.80	17.0
Dust2	4	25%	0.82	11.0
Cache	4	100%	1.43	15.0
Mirage	3	33%	0.90	14.7
Inferno	2	100%	0.94	13.0
Ancient	2	0%	0.70	12.0
Nuke	1	0%	0.79	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.

14.4%Headshot accuracy

32.7%Accuracy (enemy spotted)

30.4%Spray accuracy

73.8%Counter-strafing

8.9°Preaim

507msReaction time

50.9%T opening success

32.9%CT opening success

0.47Enemies flashed / flash

1.8%Flash assists

8.05HE damage / grenade

6.20Flashes / 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 14.4219% — 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 0.4733 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 32.913% — 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.

13% win rate across 16 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
inferno	11–13	-0.08	8%	2 Nov →
inferno	8–13	0.02	19%	2 Nov →
mirage	7–13	-0.06	16%	1 Nov →
ancient	13–10	-0.06	13%	29 Oct →
ancient	13–4	-0.02	14%	27 Oct →
inferno	9–13	-0.05	9%	27 Oct →
cache	15–15	-0.06	16%	24 Oct →
anubis	13–10	0.03	23%	24 Oct →
mirage	13–8	-0.01	11%	24 Oct →
dust2	13–7	-0.04	10%	24 Oct →
cache	13–11	-0.03	10%	24 Oct →
anubis	11–13	-0.05	17%	24 Oct →
cache	13–3	-0.01	7%	23 Oct →
ancient	10–13	0.00	16%	23 Oct →
anubis	7–13	-0.06	11%	23 Oct →
inferno	10–13	-0.04	9%	22 Oct →
cache	13–7	0.01	24%	22 Oct →
ancient	13–9	-0.08	4%	20 Oct →
dust2	5–13	-0.01	15%	20 Oct →
inferno	6–13	-0.10	32%	20 Oct →
ancient	8–13	-0.01	14%	19 Oct →
mirage	6–13	-0.09	16%	19 Oct →
dust2	3–13	-0.07	17%	19 Oct →
cache	13–5	0.02	21%	19 Oct →
ancient	11–13	-0.06	11%	17 Oct →
anubis	11–13	-0.08	13%	16 Oct →
mirage	13–11	0.00	16%	16 Oct →
dust2	13–8	0.00	14%	16 Oct →
anubis	5–13	-0.04	15%	11 Oct →
dust2	13–10	-0.02	15%	11 Oct →
cache	14–16	-0.02	11%	9 Oct →
dust2	6–13	-0.05	9%	9 Oct →
inferno	8–13	-0.02	11%	9 Oct →
mirage	8–13	-0.09	18%	9 Oct →
cache	13–9	-0.04	12%	9 Oct →
anubis	10–13	-0.04	11%	9 Oct →
inferno	11–13	-0.05	8%	7 Oct →
dust2	13–6	0.05	20%	7 Oct →
mirage	13–3	0.00	22%	6 Oct →
inferno	13–7	0.09	9%	6 Oct →
dust2	11–13	0.02	15%	6 Oct →
mirage	12–6	-0.01	15%	6 Oct →
ancient	6–13	-0.06	17%	6 Oct →
anubis	7–13	0.05	7%	6 Oct →
cache	14–16	0.01	12%	3 Oct →
vertigo	13–3	0.04	23%	3 Oct →
mirage	13–6	0.00	14%	3 Oct →
ancient	13–6	0.01	9%	3 Oct →
nuke	13–9	0.01	18%	2 Oct →
mirage	9–2	0.05	25%	2 Oct →
anubis	8–13	-0.06	11%	2 Oct →
dust2	4–13	-0.10	24%	2 Oct →
cache	9–13	-0.02	6%	2 Oct →
inferno	4–13	-0.06	13%	2 Oct →
mirage	13–8	-0.02	9%	2 Oct →
ancient	13–4	-0.01	15%	2 Oct →
anubis	13–10	-0.03	13%	2 Oct →
dust2	3–13	-0.07	12%	1 Oct →
mirage	11–13	-0.04	20%	30 Sept →
cache	13–10	-0.00	25%	30 Sept →
ancient	14–16	0.04	17%	25 Sept →
anubis	8–13	-0.03	29%	25 Sept →
anubis	22–19	-0.04	13%	21 Sept →
inferno	14–16	0.01	19%	21 Sept →
anubis	13–4	0.01	11%	21 Sept →
train	9–13	-0.03	12%	21 Sept →
inferno	8–13	-0.04	6%	16 Sept →
dust2	10–13	-0.01	23%	16 Sept →
dust2	9–13	-0.01	18%	15 Sept →
cache	8–13	-0.05	10%	15 Sept →
anubis	22–19	0.01	13%	5 Sept →
inferno	13–7	0.03	12%	5 Sept →
dust2	16–13	-0.01	25%	5 Sept →
anubis	28–26	-0.02	12%	4 Sept →
cache	13–7	0.11	21%	4 Sept →
ancient	13–11	0.02	14%	3 Sept →
inferno	6–13	-0.03	20%	3 Sept →
inferno	8–8	-0.02	15%	3 Sept →
debris	9–5	-0.07	30%	3 Sept →
inferno	9–13	-0.06	15%	1 Sept →
ancient	16–13	-0.07	11%	30 Aug →
anubis	16–19	-0.02	18%	26 Aug →
mirage	13–10	-0.00	13%	26 Aug →
dust2	8–13	0.05	14%	26 Aug →
anubis	13–7	-0.08	5%	26 Aug →
anubis	3–13	-0.11	16%	26 Aug →
inferno	8–13	-0.07	11%	22 Aug →
ancient	10–13	-0.05	8%	22 Aug →
anubis	9–13	-0.06	6%	21 Aug →
dust2	13–3	0.07	18%	21 Aug →
ancient	7–13	-0.01	19%	21 Aug →
cache	13–7	0.02	24%	21 Aug →
anubis	8–13	-0.02	21%	21 Aug →
anubis	14–16	-0.03	14%	20 Aug →
cache	12–16	-0.04	27%	18 Aug →
vertigo	11–13	-0.02	17%	13 Aug →
ancient	13–4	0.01	19%	13 Aug →
dust2	5–13	-0.06	14%	13 Aug →
ancient	4–13	-0.04	9%	13 Aug →
cache	9–13	-0.02	25%	8 Aug →