Triipsu — CS2 Stats

IL76561198148829939[U:1:188564211]Steam profile ↗✓ No bans

1,717Tracked matches53%Win rate2022Tracked since

6,117Hours in CS

CSDB Rating6.4 SolidPositional Player

Premier CS Rating25,102Top 25% of 210,006 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#20453 of 257061 tracked

FaceitLevel 10 · 1,521 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,102 +4,176 29 Aug – 22 Oct · 33 days played

Faceit ELO: 1,521 +0 29 Aug – 12 Sept · 5 observations

25,104Peak Premier in tracked matches

1,521Highest Faceit ELO seen on CSDB

32Days played since 2026-08-29

Faceit ELO

At peak — 1,521
Next: Level 8 at 1,531 — 10 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-08-29
Level 6 first seen 2026-08-29

Premier CS Rating

At peak — 25,102
+2,206 over 30 days · improving
Next: Gold band at 30,000 — 4,898 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-08-29
Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	52.2%	50.9%
Shot accuracy	2.9%	13.7%
Kill/death ratio	1.11	1.09
Match win rate	44.1%	48.4%

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Performance scores

Aim73

Positioning59

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateWWLWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +4.2pp headshot accuracy · +1ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 17%
Avg reaction 492ms

Last 10

6–4 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 483ms

Last 20

10–10 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 13%
Avg reaction 482ms

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 (+1.3 against its own average).

Aim7.3

Utility5.3

Positioning5.9

Opening Duels4.1

Clutch3.2

Strong 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.

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 jL 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.3

Positioning5.9

Utility5.3

Mechanics5.1

Opening Duels5.5

Win Impact6.1

Composite 6.4/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time498ms−4ms

first ⅓ avg 502ms → last ⅓ avg 498ms

Headshot accuracy13.0%+1.6%

first ⅓ avg 11.5% → last ⅓ avg 13.0%

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 · 7–13 · mirage, 30 Sept →

27%Best headshot accuracy · 13–8 · mirage, 10 Oct →

359msFastest reaction time · 3–13 · anubis, 10 Oct →

13–1Biggest win · nuke, 14 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W2Current streak

8–5In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 74% over 19ancientWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	19	14–5	74%	0.02
anubis	A	18	10–8	56%	0.01
inferno	A	14	9–5	64%	0.01
nuke	A	14	9–5	64%	0.01
ancient	C	14	5–9	36%	0.02
cache	C	11	4–7	36%	0.01
dust2	B	10	5–5	50%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

174,977Lifetime kills

1.11K/D · Top 50% of Level 10 players

3,167Matches

44.1%Match win rate

52.2%Headshot % · Top 50% of Level 10 players

2.9%Shot accuracy

6,081MVPs

6,117Hours (in match)

2,486Bombs planted

676Bombs defused

Most-used weapons

AK-47119,483

M4A4 / M4A1-S19,543

P2000 / USP-S8,409

SG 5533,452

Desert Eagle3,325

MP73,067

AWP2,308

Glock-181,838

Knife1,318

MP91,292

Lifetime map wins

5,038dust2

2,651inferno

1,386nuke

900train

463vertigo

200cbble

199office

131lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,253Matches

51%Win rate

1.05Avg K/D

82.6ADR

34%Headshot %

Clutches & streaks

36%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	391	52%	1.01	15.6
Ancient	219	53%	1.10	16.9
Dust2	181	46%	1.09	15.3
Anubis	144	49%	1.09	16.6
Inferno	116	47%	1.00	15.5
Overpass	68	56%	1.24	17.6
Train	49	63%	1.02	14.9
Nuke	40	38%	0.92	13.9

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.

12.8%Headshot accuracy

35.1%Accuracy (enemy spotted)

40.5%Spray accuracy

73.0%Counter-strafing

8.6°Preaim

496msReaction time

49.9%T opening success

54.3%CT opening success

0.41Enemies flashed / flash

12.7%Flash assists

9.10HE damage / grenade

8.60Flashes / 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 12.8079% — 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 0.4067 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–6	0.10	19%	22 Oct →
inferno	16–14	0.02	18%	22 Oct →
cache	11–13	0.01	12%	22 Oct →
dust2	13–6	0.06	23%	22 Oct →
anubis	13–10	-0.04	10%	22 Oct →
anubis	13–5	-0.00	13%	22 Oct →
anubis	8–13	-0.02	9%	21 Oct →
anubis	7–13	-0.04	13%	21 Oct →
nuke	4–13	-0.03	19%	20 Oct →
cache	13–8	0.05	11%	20 Oct →
inferno	8–13	-0.06	9%	19 Oct →
ancient	2–13	-0.01	11%	18 Oct →
anubis	7–13	0.05	11%	18 Oct →
anubis	4–13	0.01	10%	17 Oct →
inferno	13–8	-0.02	10%	17 Oct →
anubis	13–11	-0.04	8%	17 Oct →
cache	1–13	0.03	10%	17 Oct →
nuke	13–10	-0.03	13%	17 Oct →
ancient	7–13	0.01	11%	17 Oct →
inferno	13–8	-0.06	14%	17 Oct →
cache	16–13	0.01	8%	17 Oct →
nuke	9–13	0.01	11%	17 Oct →
nuke	13–8	0.05	8%	17 Oct →
ancient	10–13	-0.03	11%	16 Oct →
ancient	11–13	0.02	11%	15 Oct →
mirage	7–13	-0.03	22%	15 Oct →
mirage	13–6	0.07	19%	14 Oct →
mirage	13–2	0.01	22%	14 Oct →
nuke	13–3	-0.02	13%	14 Oct →
nuke	13–1	0.10	10%	14 Oct →
inferno	13–5	0.08	13%	14 Oct →
ancient	13–10	0.00	13%	13 Oct →
cache	14–16	0.02	16%	13 Oct →
mirage	13–4	0.05	12%	12 Oct →
cache	12–16	-0.01	12%	12 Oct →
mirage	13–8	-0.02	27%	10 Oct →
anubis	3–13	-0.07	5%	10 Oct →
dust2	9–13	0.08	8%	7 Oct →
nuke	13–9	0.05	16%	7 Oct →
anubis	7–13	0.01	9%	7 Oct →
mirage	13–10	-0.04	10%	6 Oct →
ancient	8–13	-0.03	8%	6 Oct →
ancient	16–12	-0.00	8%	6 Oct →
nuke	13–2	0.10	11%	1 Oct →
inferno	7–13	0.01	18%	1 Oct →
inferno	13–11	-0.03	19%	30 Sept →
ancient	8–13	0.06	18%	30 Sept →
mirage	7–13	0.11	11%	30 Sept →
cache	13–5	-0.04	4%	30 Sept →
cache	8–13	0.05	20%	30 Sept →
anubis	13–9	-0.01	16%	29 Sept →
mirage	13–11	0.03	10%	29 Sept →
anubis	13–8	0.05	17%	28 Sept →
inferno	9–13	0.08	27%	28 Sept →
inferno	16–14	-0.02	10%	27 Sept →
inferno	13–5	0.07	12%	27 Sept →
nuke	7–13	-0.05	8%	27 Sept →
ancient	13–10	0.00	18%	27 Sept →
cache	6–13	-0.02	8%	27 Sept →
dust2	7–13	-0.03	17%	24 Sept →
dust2	8–13	0.01	10%	24 Sept →
dust2	13–8	0.07	17%	24 Sept →
dust2	4–13	-0.02	15%	24 Sept →
ancient	13–5	0.08	12%	22 Sept →
inferno	11–13	0.04	20%	21 Sept →
mirage	13–6	-0.02	13%	21 Sept →
anubis	13–10	0.01	10%	21 Sept →
ancient	4–13	0.01	17%	20 Sept →
anubis	13–5	0.08	10%	20 Sept →
dust2	16–13	-0.01	13%	17 Sept →
ancient	15–15	-0.02	6%	17 Sept →
mirage	13–6	0.03	13%	15 Sept →
dust2	5–13	0.07	18%	15 Sept →
nuke	13–10	-0.02	21%	14 Sept →
dust2	13–9	0.05	15%	14 Sept →
mirage	13–10	-0.03	10%	13 Sept →
inferno	13–7	0.11	9%	13 Sept →
nuke	4–13	-0.05	11%	13 Sept →
mirage	5–0	0.08	14%	13 Sept →
anubis	13–3	0.03	24%	13 Sept →
mirage	9–13	-0.02	10%	13 Sept →
ancient	11–13	0.04	15%	13 Sept →
mirage	13–11	-0.02	12%	13 Sept →
mirage	10–13	0.03	13%	12 Sept →
anubis	13–11	0.01	6%	12 Sept →
mirage	13–10	-0.04	7%	12 Sept →
anubis	6–13	0.03	10%	10 Sept →
nuke	13–4	0.05	14%	10 Sept →
dust2	13–7	0.03	11%	9 Sept →
inferno	13–2	-0.01	12%	9 Sept →
nuke	4–13	-0.01	17%	9 Sept →
ancient	13–2	0.09	11%	9 Sept →
mirage	10–13	0.01	5%	9 Sept →
cache	3–7	0.01	4%	8 Sept →
inferno	15–15	-0.01	11%	8 Sept →
anubis	16–14	0.07	5%	8 Sept →
cache	13–10	-0.02	10%	8 Sept →
nuke	16–13	0.01	12%	8 Sept →
mirage	13–7	0.02	8%	7 Sept →
anubis	9–13	-0.04	4%	7 Sept →