Tactcs — CS2 Stats

76561198188306393[U:1:228040665]

1,224Tracked matches70%Win rate2022Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating22,837Top 50% of 819 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)

CSDB Leaderboard#4750 of 17280 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning57

Utility54

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateLWWWWLWWWL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim8.3

Aggression8.5

Utility5.4

Positioning5.7

Opening Duels3.6

Clutch3.6

Excellent counter-strafingStrong 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 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim8.3

Positioning5.7

Utility5.4

Mechanics9.4

Opening Duels3.6

Win Impact10.0

Composite 7.4/10 (Strong), 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-0.00−0.05

first ⅓ avg 0.04 → last ⅓ avg -0.00

Reaction time638ms+9ms

first ⅓ avg 629ms → last ⅓ avg 638ms

Headshot accuracy23.8%+1.1%

first ⅓ avg 22.7% → last ⅓ avg 23.8%

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 9–5

13–3Biggest win — nuke

5Longest win streak

10–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 75% over 12infernoWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	21	14–7	67%	0.05
cache	C	18	7–11	39%	0.00
ancient	A	18	11–7	61%	0.00
anubis	S	12	9–3	75%	0.02
mirage	D	10	3–7	30%	0.05
inferno	D	9	1–8	11%	-0.03
vertigo	—	4	2–2	50%	0.08
overpass	—	3	1–2	33%	0.03
rooftop	—	2	1–1	50%	0.01
eldorado	—	1	0–1	0%	0.05
sanctum	—	1	1–0	100%	0.11
dust2	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

464Matches

50%Win rate

1.19Avg K/D

87.7ADR

50%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	80	61%	1.19	18.2
Nuke	61	56%	1.17	17.8
Mirage	58	34%	1.07	16.9
Ancient	51	63%	1.13	17.3
Cache	26	31%	1.12	18.4
Vertigo	24	42%	0.99	15.9
Inferno	18	39%	1.14	16.6
Overpass	5	0%	0.95	14.8

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.

23.0%Headshot accuracy

36.5%Accuracy (enemy spotted)

41.8%Spray accuracy

92.1%Counter-strafing

10.6°Preaim

629msReaction time

32.0%T opening success

56.8%CT opening success

0.56Enemies flashed / flash

9.6%Flash assists

8.20HE 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.

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 31.9832% — 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.

11% win rate across 9 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
cache	9–13	-0.03	25%	26 Aug →
nuke	13–11	-0.01	10%	21 Aug →
anubis	13–9	0.07	11%	21 Aug →
ancient	13–11	-0.03	24%	21 Aug →
nuke	19–17	-0.01	11%	20 Aug →
nuke	6–13	-0.02	19%	18 Aug →
anubis	13–10	-0.04	18%	17 Aug →
ancient	16–13	-0.04	15%	17 Aug →
anubis	13–5	0.02	26%	17 Aug →
cache	11–13	-0.02	20%	16 Aug →
anubis	13–11	0.02	19%	15 Aug →
ancient	8–13	-0.02	9%	13 Aug →
cache	13–11	-0.01	26%	10 Aug →
ancient	13–10	0.04	15%	10 Aug →
cache	11–13	0.01	17%	7 Aug →
nuke	16–13	0.00	36%	6 Aug →
anubis	6–13	-0.07	32%	5 Aug →
cache	10–13	-0.04	25%	5 Aug →
ancient	13–11	0.00	37%	4 Aug →
nuke	13–10	0.05	47%	4 Aug →
cache	11–13	-0.02	29%	3 Aug →
anubis	13–6	0.08	21%	3 Aug →
nuke	13–3	0.02	25%	3 Aug →
ancient	0–13	-0.07	29%	2 Aug →
anubis	13–4	0.09	34%	2 Aug →
inferno	8–8	0.00	34%	1 Aug →
ancient	13–8	-0.03	21%	1 Aug →
nuke	13–10	0.05	23%	1 Aug →
ancient	13–7	-0.05	25%	30 Jul →
ancient	13–6	0.03	27%	29 Jul →
ancient	13–9	-0.00	26%	28 Jul →
nuke	8–13	-0.03	19%	21 Jul →
inferno	8–8	0.06	30%	20 Jul →
anubis	13–11	0.01	21%	20 Jul →
eldorado	8–8	0.05	33%	19 Jul →
nuke	2–13	-0.10	11%	19 Jul →
vertigo	4–9	-0.12	38%	19 Jul →
cache	13–4	0.07	21%	18 Jul →
ancient	13–5	0.05	25%	13 Jul →
inferno	2–9	-0.18	16%	13 Jul →
ancient	7–13	-0.02	16%	10 Jul →
ancient	10–13	-0.01	17%	9 Jul →
anubis	13–5	-0.05	33%	9 Jul →
cache	16–14	0.01	20%	9 Jul →
mirage	13–3	0.02	20%	9 Jul →
nuke	13–7	0.11	25%	9 Jul →
cache	5–13	0.02	20%	9 Jul →
cache	13–5	0.02	24%	6 Jul →
cache	5–13	-0.03	21%	25 Jun →
mirage	9–13	0.03	25%	24 Jun →
nuke	13–11	0.05	31%	24 Jun →
ancient	13–9	-0.00	16%	24 Jun →
inferno	11–13	0.09	35%	5 Jun →
vertigo	12–12	0.09	23%	5 Jun →
ancient	9–13	0.03	18%	4 Jun →
anubis	13–7	0.07	31%	4 Jun →
inferno	8–8	-0.03	19%	4 Jun →
vertigo	9–0	0.14	24%	4 Jun →
sanctum	9–5	0.11	11%	4 Jun →
nuke	9–6	0.08	15%	4 Jun →
inferno	2–9	-0.13	22%	4 Jun →
ancient	13–4	0.06	27%	4 Jun →
cache	6–13	0.02	16%	1 Jun →
mirage	13–8	0.11	22%	1 Jun →
anubis	8–13	0.06	14%	1 Jun →
nuke	13–10	0.05	26%	31 May →
nuke	13–4	0.02	29%	28 May →
mirage	6–13	0.02	18%	27 May →
cache	16–14	0.05	24%	26 May →
mirage	16–13	0.07	16%	26 May →
cache	11–13	0.01	24%	26 May →
nuke	11–13	0.04	15%	25 May →
ancient	8–13	-0.01	26%	25 May →
nuke	13–16	0.02	24%	21 May →
overpass	5–9	-0.05	27%	19 May →
nuke	9–4	0.14	43%	19 May →
inferno	9–5	0.12	17%	19 May →
cache	13–10	-0.00	31%	17 May →
cache	11–13	-0.03	25%	17 May →
overpass	9–13	0.02	18%	8 May →
nuke	10–13	0.09	30%	8 May →
mirage	14–16	0.06	13%	8 May →
cache	13–5	0.05	18%	29 Apr →
cache	6–13	-0.02	11%	29 Apr →
mirage	13–16	0.06	25%	11 Apr →
ancient	15–15	0.08	24%	11 Apr →
overpass	9–6	0.11	17%	31 Dec →
rooftop	5–9	-0.03	17%	31 Dec →
vertigo	9–4	0.18	12%	31 Dec →
inferno	2–9	-0.20	27%	31 Dec →
nuke	9–5	0.20	27%	31 Dec →
rooftop	9–5	0.06	41%	31 Dec →
inferno	5–9	-0.01	41%	31 Dec →
mirage	3–13	0.01	15%	29 Nov →
dust2	6–13	0.06	22%	9 Nov →
nuke	13–6	0.14	24%	9 Nov →
mirage	6–13	0.08	24%	9 Nov →
nuke	1–12	0.09	20%	8 Nov →
mirage	8–13	0.06	19%	8 Nov →
anubis	12–12	0.02	16%	8 Nov →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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