TapaN — CS2 Stats

76561197961105561[U:1:839833]✓ No bans

1,500Tracked matches57%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating26,135Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning58

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLLLWWWLWWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim7.5

Aggression9.2

Utility6.7

Positioning5.8

Opening Duels3.8

Clutch5.4

Effective 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 jL 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Areas to improve

Reaction time. 583ms 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

Aim7.5

Positioning5.8

Utility6.7

Mechanics6.2

Opening Duels3.8

Win Impact7.2

Composite 6.8/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time581ms−56ms

first ⅓ avg 637ms → last ⅓ avg 581ms

Headshot accuracy13.9%−1.6%

first ⅓ avg 15.5% → last ⅓ avg 13.9%

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

0.26Best rating — poseidon 9–2

13–1Biggest win — inferno

7Longest win streak

L3Current streak

6–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 70% over 20cacheWeakest map · 36% over 22

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	22	8–14	36%	0.02
dust2	S	20	14–6	70%	0.03
nuke	A	18	11–7	61%	0.00
inferno	B	17	8–9	47%	0.03
ancient	B	10	5–5	50%	0.00
vertigo	A	5	3–2	60%	0.01
overpass	—	3	1–2	33%	0.01
poseidon	—	2	1–1	50%	0.12
mirage	—	2	0–2	0%	-0.04
anubis	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Faceit stats

Combat

229Matches

54%Win rate

1.22Avg K/D

86.3ADR

34%Headshot %

Clutches & streaks

47%1v1 clutch win

20%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	37	46%	1.26	18.2
Inferno	34	62%	1.21	17.6
Mirage	11	64%	1.22	16.0
Nuke	10	50%	1.05	15.8
Overpass	10	70%	1.17	22.0
Ancient	9	78%	1.08	18.0
Anubis	7	14%	1.38	26.0
Train	6	33%	1.16	20.7

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

43.0%Accuracy (enemy spotted)

46.4%Spray accuracy

77.8%Counter-strafing

12.2°Preaim

583msReaction time

39.3%T opening success

51.4%CT opening success

0.73Enemies flashed / flash

11.4%Flash assists

13.76HE damage / grenade

7.96Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1665° — above the 12° mark we flag
Aim Training →
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 14.3993% — below the 15% mark we flag
Aim Training →

Spend your practice time on Cache

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–16	0.01	22%	27 Aug →
ancient	9–13	-0.02	13%	27 Aug →
nuke	9–13	-0.05	15%	25 Aug →
inferno	13–7	0.02	14%	25 Aug →
nuke	13–11	-0.03	7%	24 Aug →
cache	13–11	0.01	10%	24 Aug →
cache	6–13	-0.01	20%	20 Aug →
inferno	13–6	0.07	18%	20 Aug →
cache	13–10	0.04	16%	20 Aug →
inferno	10–13	0.00	10%	18 Aug →
dust2	9–13	0.02	17%	18 Aug →
ancient	11–13	0.01	16%	17 Aug →
cache	13–16	0.05	8%	16 Aug →
dust2	13–8	0.10	14%	15 Aug →
cache	13–11	0.03	16%	15 Aug →
ancient	6–13	0.00	12%	15 Aug →
inferno	13–5	0.08	16%	12 Aug →
nuke	13–8	0.03	15%	12 Aug →
inferno	13–10	-0.02	18%	11 Aug →
nuke	13–7	-0.03	17%	11 Aug →
ancient	14–16	-0.04	12%	6 Aug →
inferno	13–7	-0.01	19%	6 Aug →
nuke	11–13	0.00	12%	4 Aug →
nuke	8–13	0.02	13%	2 Aug →
dust2	16–14	-0.01	22%	2 Aug →
inferno	13–2	0.14	13%	31 Jul →
ancient	13–8	0.04	18%	31 Jul →
inferno	13–1	0.22	16%	31 Jul →
nuke	13–10	0.05	14%	30 Jul →
inferno	13–16	-0.00	5%	30 Jul →
inferno	13–1	-0.00	0%	29 Jul →
dust2	16–12	0.09	14%	28 Jul →
dust2	13–7	0.04	10%	28 Jul →
inferno	11–13	0.03	14%	27 Jul →
dust2	16–12	0.02	5%	27 Jul →
nuke	13–7	0.06	22%	26 Jul →
ancient	13–7	0.04	18%	26 Jul →
inferno	6–13	0.02	20%	26 Jul →
cache	6–13	-0.04	18%	23 Jul →
dust2	12–12	0.07	15%	23 Jul →
nuke	13–9	0.07	12%	22 Jul →
poseidon	8–8	-0.02	16%	22 Jul →
poseidon	9–2	0.26	45%	21 Jul →
inferno	5–13	-0.04	28%	21 Jul →
dust2	13–10	-0.01	12%	20 Jul →
vertigo	13–11	-0.04	7%	20 Jul →
dust2	13–4	0.06	13%	17 Jul →
dust2	13–6	0.10	10%	16 Jul →
nuke	16–13	-0.01	14%	15 Jul →
dust2	13–6	0.05	9%	15 Jul →
dust2	13–5	0.05	28%	14 Jul →
anubis	7–13	0.02	5%	14 Jul →
dust2	9–13	-0.08	18%	9 Jul →
ancient	13–9	0.06	13%	9 Jul →
cache	11–13	0.04	6%	9 Jul →
mirage	2–13	-0.07	9%	8 Jul →
cache	12–12	-0.01	13%	8 Jul →
cache	13–9	0.10	15%	7 Jul →
inferno	10–13	0.04	6%	3 Jul →
dust2	13–8	0.03	22%	3 Jul →
nuke	9–13	-0.04	23%	2 Jul →
cache	1–13	-0.07	15%	2 Jul →
ancient	9–13	-0.03	10%	30 Jun →
dust2	13–6	-0.01	8%	30 Jun →
overpass	6–13	0.04	7%	29 Jun →
nuke	13–9	-0.03	12%	29 Jun →
vertigo	6–13	-0.06	11%	29 Jun →
overpass	11–13	-0.04	6%	28 Jun →
cache	8–13	0.01	16%	28 Jun →
dust2	9–13	-0.08	17%	24 Jun →
inferno	2–13	-0.03	11%	23 Jun →
dust2	13–1	0.09	17%	23 Jun →
nuke	8–13	-0.02	19%	23 Jun →
dust2	6–13	0.10	13%	22 Jun →
cache	13–5	0.08	9%	22 Jun →
vertigo	13–6	0.05	20%	22 Jun →
nuke	2–13	-0.07	35%	21 Jun →
cache	10–13	-0.04	11%	21 Jun →
nuke	13–5	-0.02	11%	18 Jun →
cache	6–13	0.02	14%	18 Jun →
ancient	13–7	-0.00	18%	13 Jun →
dust2	10–13	0.07	17%	13 Jun →
ancient	16–13	-0.02	8%	13 Jun →
nuke	13–8	0.05	8%	13 Jun →
nuke	10–13	0.02	6%	9 Jun →
cache	13–9	0.09	23%	9 Jun →
mirage	12–12	-0.01	10%	7 Jun →
cache	12–12	0.04	8%	7 Jun →
nuke	13–8	0.07	17%	7 Jun →
inferno	10–13	0.03	17%	7 Jun →
cache	6–13	0.01	21%	6 Jun →
dust2	13–7	-0.01	28%	6 Jun →
cache	8–13	0.00	16%	6 Jun →
vertigo	6–13	-0.02	21%	6 Jun →
cache	13–11	0.06	18%	3 Jun →
vertigo	13–8	0.09	19%	3 Jun →
cache	11–13	0.01	10%	2 Jun →
inferno	9–13	0.00	8%	31 May →
cache	13–9	0.07	17%	31 May →
overpass	13–2	0.04	23%	31 May →