twentysix — CS2 Stats

76561198074542089[U:1:114276361]✓ No bans

3,181Tracked matches57%Win rate2020Tracked since

CSDB Rating7.0 StrongAggressive Rifler

FaceitLevel 10 · 2,425 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning56

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWWLLLWWWLL

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

Player DNA

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

Aim8.9

Aggression8.3

Utility6.2

Positioning5.6

Opening Duels4.1

Clutch3.8

Sharp aimerEffective flashesLimited utility dependence

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 jL 94% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 593ms 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

Aim8.9

Positioning5.6

Utility6.2

Mechanics7.5

Opening Duels4.1

Win Impact7.2

Composite 7.0/10 (Strong), 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 rating0.03+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.03

Reaction time597ms+16ms

first ⅓ avg 581ms → last ⅓ avg 597ms

Headshot accuracy22.4%−0.3%

first ⅓ avg 22.7% → last ⅓ avg 22.4%

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

0.20Best rating — nuke 13–10

13–1Biggest win — nuke

5Longest win streak

W2Current streak

8–5In matches decided by ≤2 rounds

16Overtime games

Map breakdown

nukeBest map · 71% over 21dust2Weakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	21	12–9	57%	-0.01
nuke	S	21	15–6	71%	0.03
mirage	B	11	5–6	45%	0.05
overpass	A	11	6–5	55%	-0.01
cache	B	8	4–4	50%	-0.02
anubis	B	8	4–4	50%	0.02
dust2	D	6	2–4	33%	0.00
inferno	C	5	2–3	40%	-0.01
train	—	4	1–3	25%	0.00
vertigo	—	4	3–1	75%	0.01
vertigo_rbcs	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,968Matches

54%Win rate

1.00Avg K/D

76.5ADR

52%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	359	56%	1.01	15.4
Nuke	349	64%	1.07	15.7
Anubis	211	50%	0.96	14.7
Inferno	192	55%	0.97	14.9
Overpass	186	63%	1.15	16.2
Vertigo	142	61%	1.11	16.3
Mirage	118	44%	1.05	16.5
Train	111	52%	0.97	14.9

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.

22.1%Headshot accuracy

41.4%Accuracy (enemy spotted)

49.1%Spray accuracy

83.8%Counter-strafing

9.7°Preaim

593msReaction time

45.0%T opening success

47.9%CT opening success

0.71Enemies flashed / flash

20.7%Flash assists

12.73HE damage / grenade

3.89Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8922 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	-0.04	20%	25 Aug →
cache	13–4	0.03	21%	24 Aug →
anubis	8–13	0.05	26%	21 Aug →
cache	7–13	-0.04	25%	20 Aug →
anubis	7–13	-0.02	15%	20 Aug →
nuke	13–1	0.19	23%	19 Aug →
cache	13–4	0.04	35%	16 Aug →
nuke	13–4	0.01	20%	16 Aug →
dust2	13–16	-0.08	21%	12 Aug →
mirage	13–16	-0.02	14%	11 Aug →
ancient	13–4	0.02	22%	11 Aug →
dust2	13–3	0.07	14%	10 Aug →
cache	5–13	-0.04	14%	9 Aug →
ancient	13–10	-0.02	16%	9 Aug →
cache	13–4	-0.04	16%	3 Aug →
cache	13–8	0.00	21%	13 Jul →
nuke	13–10	0.20	27%	7 Jun →
cache	7–13	-0.02	13%	25 May →
cache	8–13	-0.08	21%	29 Apr →
nuke	13–9	-0.01	21%	20 Apr →
overpass	10–13	0.02	32%	12 Apr →
dust2	13–9	0.11	15%	11 Apr →
overpass	13–11	-0.01	22%	6 Apr →
mirage	8–13	0.12	28%	8 Mar →
mirage	11–13	0.10	25%	1 Mar →
overpass	14–16	0.02	14%	1 Mar →
mirage	13–3	0.15	57%	20 Feb →
nuke	10–13	-0.01	44%	8 Feb →
inferno	13–11	-0.01	9%	29 Jan →
mirage	13–6	0.09	24%	26 Jan →
inferno	13–4	0.05	17%	24 Jan →
anubis	13–10	0.03	31%	18 Jan →
nuke	13–10	-0.01	15%	22 Dec →
inferno	8–13	-0.05	25%	21 Dec →
overpass	13–7	-0.08	31%	20 Dec →
nuke	13–8	-0.04	7%	19 Dec →
nuke	8–13	-0.06	30%	11 Dec →
mirage	9–13	0.06	21%	30 Nov →
overpass	13–5	0.05	16%	30 Nov →
nuke	13–4	0.06	30%	11 Nov →
nuke	13–11	-0.03	30%	29 Oct →
nuke	13–3	0.08	28%	28 Oct →
nuke	13–5	0.04	30%	28 Oct →
ancient	7–13	-0.04	32%	27 Oct →
train	13–16	0.01	16%	27 Oct →
train	13–5	0.04	21%	9 Oct →
ancient	14–16	0.01	27%	9 Oct →
mirage	13–5	0.04	35%	7 Oct →
mirage	8–13	0.01	27%	3 Oct →
overpass	13–3	0.06	32%	8 Sept →
ancient	12–16	0.02	21%	8 Sept →
ancient	16–14	-0.03	21%	2 Sept →
inferno	14–16	0.04	13%	2 Sept →
train	8–13	-0.01	19%	31 Aug →
train	7–13	-0.03	21%	29 Aug →
nuke	6–13	-0.06	32%	29 Aug →
mirage	13–8	0.02	25%	5 Aug →
mirage	13–10	-0.00	28%	13 Jul →
ancient	5–13	-0.02	23%	3 Jul →
ancient	3–13	-0.08	8%	16 Jun →
nuke	16–14	-0.04	23%	16 Jun →
ancient	13–7	0.02	24%	1 May →
nuke	13–8	0.03	17%	28 Apr →
ancient	13–8	0.03	22%	14 Apr →
ancient	4–13	-0.01	19%	9 Apr →
ancient	13–9	0.03	22%	8 Apr →
dust2	8–13	-0.01	28%	4 Apr →
anubis	6–13	-0.01	27%	1 Apr →
nuke	13–9	0.06	22%	24 Mar →
nuke	13–16	-0.03	27%	15 Mar →
ancient	13–6	-0.02	20%	15 Mar →
ancient	16–19	-0.02	20%	11 Mar →
anubis	13–8	0.02	19%	6 Mar →
anubis	13–9	-0.01	13%	4 Mar →
ancient	13–9	-0.01	23%	2 Mar →
anubis	11–13	0.01	15%	3 Feb →
dust2	2–13	-0.03	26%	28 Jan →
vertigo_rbcs	13–7	-0.00	17%	22 Jan →
overpass	3–13	0.00	32%	10 Dec →
dust2	6–13	-0.04	29%	10 Dec →
nuke	5–13	0.04	33%	27 Nov →
mirage	12–16	-0.04	12%	26 Nov →
ancient	13–11	0.00	19%	9 Sept →
nuke	13–3	0.05	16%	15 Apr →
nuke	5–13	0.01	27%	13 Apr →
overpass	13–11	-0.07	12%	13 Apr →
anubis	13–7	0.06	17%	10 Apr →
overpass	13–9	-0.06	24%	5 Apr →
vertigo	13–5	0.02	26%	5 Apr →
overpass	19–22	-0.03	28%	2 Apr →
vertigo	13–6	-0.02	18%	10 Mar →
vertigo	12–16	-0.07	12%	9 Mar →
ancient	13–10	0.00	19%	9 Mar →
ancient	15–19	-0.04	39%	8 Mar →
nuke	13–1	0.02	24%	8 Mar →
vertigo	10–1	0.10	32%	8 Mar →
ancient	9–13	-0.05	24%	8 Mar →
inferno	5–13	-0.07	31%	7 Mar →
overpass	6–13	-0.04	24%	4 Mar →
ancient	16–14	-0.02	21%	4 Mar →