✪ TaPz — CS2 Stats

76561198837730386[U:1:877464658]Steam profile ↗✓ No bans

5,124Tracked matches39%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating25,073Top 25% of 44,590 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#6554 of 58048 tracked

FaceitLevel 10 · 2,276 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim95

Positioning63

Utility28

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateLLTLWWWLLL

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.

Aim9.5

Aggression10.0

Utility2.8

Positioning6.3

Opening Duels4.8

Clutch3.2

Sharp aimerExcellent counter-strafingLimited 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 device 90% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower 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

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 578ms 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

Aim9.5

Positioning6.3

Utility2.8

Mechanics9.6

Opening Duels4.8

Win Impact1.4

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.04

first ⅓ avg 0.05 → last ⅓ avg 0.01

Reaction time601ms−69ms

first ⅓ avg 670ms → last ⅓ avg 601ms

Headshot accuracy31.1%−0.6%

first ⅓ avg 31.7% → last ⅓ avg 31.1%

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

0.19Best rating — dust2 13–9

13–1Biggest win — train

8Longest win streak

L2Current streak

7–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 51% over 63mirageWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	63	32–31	51%	0.04
mirage	D	10	3–7	30%	0.02
cache	C	9	4–5	44%	0.05
anubis	C	5	2–3	40%	0.03
inferno	—	4	2–2	50%	0.01
train	—	3	2–1	67%	0.03
nuke	—	3	2–1	67%	0.02
vertigo	—	2	1–1	50%	0.01
ancient	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,581Matches

51%Win rate

1.25Avg K/D

90.0ADR

49%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	479	58%	1.35	19.6
Mirage	306	48%	1.15	18.3
Inferno	199	47%	1.18	18.1
Anubis	148	45%	1.14	18.0
Overpass	138	54%	1.39	20.4
Ancient	82	39%	1.11	18.1
Vertigo	76	47%	1.20	18.6
Nuke	74	39%	1.18	18.4

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.

30.3%Headshot accuracy

38.0%Accuracy (enemy spotted)

39.6%Spray accuracy

93.0%Counter-strafing

6.8°Preaim

578msReaction time

41.9%T opening success

56.4%CT opening success

0.52Enemies flashed / flash

4.8%Flash assists

8.10HE damage / grenade

1.70Flashes / 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 1.6985 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	0.03	20%	30 Aug →
cache	5–13	-0.04	13%	29 Aug →
dust2	12–12	0.02	61%	28 Aug →
dust2	8–13	0.03	31%	28 Aug →
dust2	13–3	-0.01	35%	27 Aug →
dust2	13–5	0.02	26%	26 Aug →
cache	13–10	0.07	35%	26 Aug →
dust2	8–13	0.10	55%	25 Aug →
dust2	1–10	-0.07	75%	25 Aug →
dust2	9–13	-0.04	23%	20 Aug →
dust2	6–13	-0.06	39%	20 Aug →
dust2	13–11	-0.01	26%	19 Aug →
mirage	11–13	-0.01	16%	19 Aug →
dust2	13–11	0.02	18%	18 Aug →
dust2	13–7	-0.02	42%	17 Aug →
mirage	13–16	-0.04	16%	17 Aug →
dust2	13–6	0.09	27%	16 Aug →
mirage	13–5	0.04	21%	16 Aug →
cache	11–13	0.05	22%	12 Aug →
train	7–13	0.04	20%	11 Aug →
dust2	9–13	0.08	37%	11 Aug →
dust2	4–13	0.03	48%	9 Aug →
dust2	2–13	-0.02	45%	8 Aug →
cache	13–7	-0.00	30%	8 Aug →
ancient	5–13	-0.02	34%	5 Aug →
dust2	6–13	0.02	39%	5 Aug →
train	13–3	0.02	33%	4 Aug →
dust2	13–11	0.02	21%	4 Aug →
vertigo	12–12	-0.02	13%	4 Aug →
dust2	0–13	-0.09	17%	4 Aug →
dust2	13–4	0.07	26%	4 Aug →
dust2	13–9	-0.04	26%	4 Aug →
dust2	8–2	0.07	35%	4 Aug →
mirage	9–13	-0.02	24%	3 Aug →
vertigo	13–7	0.03	21%	3 Aug →
dust2	13–5	0.08	23%	3 Aug →
dust2	13–4	0.01	25%	2 Aug →
train	13–1	0.04	43%	2 Aug →
cache	13–7	0.12	35%	2 Aug →
nuke	13–5	0.02	25%	2 Aug →
dust2	7–13	0.07	57%	2 Aug →
inferno	12–16	-0.03	33%	1 Aug →
dust2	4–13	0.12	10%	31 Jul →
dust2	13–11	0.14	22%	29 Jul →
cache	4–13	0.01	38%	28 Jul →
nuke	6–13	0.06	29%	28 Jul →
dust2	13–4	0.16	34%	28 Jul →
dust2	12–12	0.07	20%	28 Jul →
dust2	4–13	-0.06	17%	27 Jul →
cache	8–13	0.01	21%	27 Jul →
dust2	10–13	0.01	36%	27 Jul →
dust2	10–13	-0.03	32%	26 Jul →
mirage	13–4	0.02	21%	26 Jul →
mirage	11–13	0.02	17%	25 Jul →
dust2	13–7	0.04	22%	25 Jul →
dust2	2–13	-0.06	17%	25 Jul →
nuke	13–10	-0.02	29%	24 Jul →
dust2	13–11	0.05	25%	24 Jul →
dust2	12–12	0.08	22%	24 Jul →
anubis	13–10	0.04	25%	24 Jul →
dust2	13–7	0.07	27%	23 Jul →
inferno	13–7	0.03	36%	23 Jul →
cache	13–9	0.10	28%	22 Jul →
dust2	13–7	0.05	36%	22 Jul →
mirage	13–10	-0.02	20%	22 Jul →
dust2	13–10	0.04	20%	21 Jul →
dust2	13–11	0.10	23%	21 Jul →
mirage	2–13	0.08	28%	21 Jul →
dust2	11–13	0.11	40%	20 Jul →
dust2	8–13	-0.01	47%	19 Jul →
dust2	7–3	-0.01	22%	19 Jul →
dust2	13–7	0.01	43%	19 Jul →
dust2	9–13	0.03	34%	18 Jul →
dust2	9–13	0.02	41%	14 Jul →
anubis	8–13	-0.01	43%	13 Jul →
dust2	8–13	0.12	47%	13 Jul →
dust2	13–10	0.08	28%	13 Jul →
dust2	13–10	0.10	32%	12 Jul →
dust2	13–6	0.09	41%	12 Jul →
anubis	13–4	0.10	35%	10 Jul →
dust2	2–13	-0.08	40%	5 Jul →
dust2	8–13	0.08	33%	4 Jul →
dust2	12–12	0.06	29%	3 Jul →
mirage	8–13	0.05	27%	1 Jul →
dust2	13–10	0.02	30%	1 Jul →
dust2	13–9	0.19	33%	1 Jul →
dust2	8–13	-0.03	18%	30 Jun →
mirage	6–13	0.04	24%	29 Jun →
inferno	13–16	0.06	19%	29 Jun →
dust2	13–9	0.03	19%	29 Jun →
dust2	13–7	0.01	19%	28 Jun →
dust2	13–8	0.12	35%	28 Jun →
dust2	13–8	0.03	28%	28 Jun →
anubis	8–13	0.05	24%	28 Jun →
dust2	13–6	0.11	39%	28 Jun →
cache	9–13	0.14	54%	27 Jun →
anubis	1–13	-0.03	10%	27 Jun →
dust2	10–13	0.09	27%	27 Jun →
dust2	4–13	-0.03	36%	25 Jun →
inferno	16–14	-0.02	23%	24 Jun →