intti👨🏿‍🦱 — CS2 Stats

FI76561198022591451[U:1:62325723]Steam profile ↗✓ No bans

3,776Tracked matches55%Win rate2020Tracked since

CSDB Rating5.8 SolidPositional Player

Premier CS Rating24,593Top 25% of 204,219 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)

CSDB Leaderboard#25843 of 251356 tracked

FaceitLevel 10 · 2,420 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

+577Premier CS Rating · 24,016 → 24,593

Rating over time

Premier CS Rating: 24,593 +1,086 10 Jan – 12 Oct · 11 days played

24,593Peak Premier in tracked matches

2,420Highest Faceit ELO seen on CSDB

50Days played since 2025-12-21

Faceit ELO

At peak — 2,420
Next: 2,500 ELO at 2,500 — 80 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-20
Level 9 first seen 2026-09-20

Premier CS Rating

At peak — 24,593
+900 over 30 days · improving
Next: Red band at 25,000 — 407 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-20
Purple band first seen 2026-09-20

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.

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Performance scores

Aim69

Positioning58

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY56–42–2Last 10056%Win rateWWLWLLWWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +1.4pp headshot accuracy · −18ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 18%
Avg reaction 491ms

Last 10

5–5 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 476ms

Last 20

11–9 · 55% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 485ms

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 (+1.2 against its own average).

Aim6.9

Utility5.6

Positioning5.8

Opening Duels3.0

Clutch4.2

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 ZywOo 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.9

Positioning5.8

Utility5.6

Mechanics4.0

Opening Duels3.3

Win Impact6.7

Composite 5.8/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time517ms−41ms

first ⅓ avg 558ms → last ⅓ avg 517ms

Headshot accuracy16.1%−3.2%

first ⅓ avg 19.3% → last ⅓ avg 16.1%

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.

Personal bests

0.14Best match rating · 13–6 · nuke, 31 Jan →

44%Best headshot accuracy · 6–9 · inferno, 5 Jan →

273msFastest reaction time · 1–13 · nuke, 14 Aug →

13–0Biggest win · nuke, 2 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W2Current streak

8–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 71% over 7dust2Weakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	33	18–15	55%	0.01
nuke	S	26	17–9	65%	0.03
mirage	C	10	4–6	40%	-0.00
overpass	A	9	5–4	56%	0.01
ancient	S	7	5–2	71%	0.01
dust2	D	6	2–4	33%	-0.01
cache	—	3	2–1	67%	0.01
cache_b	—	3	1–2	33%	-0.02
train	—	2	2–0	100%	-0.03
anubis	—	1	0–1	0%	0.02

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

3,474Matches

51%Win rate

1.04Avg K/D

76.6ADR

36%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	158	58%	1.14	15.5
Nuke	106	61%	1.00	13.7
Mirage	67	33%	0.88	13.5
Dust2	48	31%	0.88	14.3
Anubis	33	39%	0.90	14.6
Ancient	30	43%	1.07	15.3
Overpass	30	50%	1.08	15.6
Vertigo	28	50%	1.02	17.2

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.

16.6%Headshot accuracy

38.9%Accuracy (enemy spotted)

39.9%Spray accuracy

68.2%Counter-strafing

11.7°Preaim

509msReaction time

43.2%T opening success

43.5%CT opening success

0.57Enemies flashed / flash

8.8%Flash assists

6.64HE damage / grenade

6.44Flashes / match

Recommended for you

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
cache	13–9	0.04	13%	12 Oct →
ancient	13–8	-0.01	17%	23 Sept →
inferno	9–13	0.01	20%	18 Sept →
nuke	13–6	0.03	27%	17 Sept →
nuke	12–16	-0.00	15%	18 Aug →
nuke	1–4	0.10	13%	18 Aug →
cache	16–14	0.01	7%	17 Aug →
inferno	13–2	0.02	19%	17 Aug →
nuke	1–13	-0.10	20%	14 Aug →
inferno	11–13	-0.00	7%	14 Aug →
nuke	4–13	-0.04	9%	14 Aug →
cache	4–13	-0.02	15%	14 Aug →
ancient	13–8	0.08	13%	14 Aug →
ancient	13–8	0.01	18%	10 Aug →
nuke	10–13	-0.04	16%	10 Aug →
nuke	13–5	0.00	14%	10 Aug →
inferno	13–6	0.00	15%	10 Aug →
mirage	13–5	0.04	18%	5 Aug →
inferno	13–6	0.02	13%	5 Aug →
nuke	11–13	0.00	13%	16 Jun →
dust2	9–13	0.00	13%	16 Jun →
dust2	8–13	0.01	17%	15 Apr →
dust2	8–13	0.01	13%	9 Apr →
overpass	15–15	-0.05	41%	9 Apr →
mirage	13–7	0.07	24%	7 Apr →
nuke	13–7	0.12	29%	7 Apr →
inferno	11–13	-0.06	12%	5 Apr →
overpass	16–12	0.10	16%	26 Mar →
ancient	13–2	0.02	17%	26 Mar →
overpass	13–10	0.02	10%	26 Mar →
inferno	13–9	-0.01	4%	22 Mar →
mirage	7–13	-0.05	26%	21 Mar →
nuke	8–6	0.06	5%	21 Mar →
inferno	9–13	-0.02	13%	21 Mar →
inferno	13–2	0.06	18%	18 Mar →
overpass	13–11	0.05	13%	17 Mar →
nuke	13–6	0.04	13%	17 Mar →
ancient	13–5	0.02	13%	17 Mar →
dust2	2–13	-0.03	16%	15 Mar →
inferno	3–5	-0.03	30%	11 Mar →
mirage	4–13	0.02	18%	11 Mar →
inferno	13–7	-0.00	10%	10 Mar →
mirage	11–13	-0.05	12%	10 Mar →
overpass	13–5	0.02	10%	10 Mar →
inferno	8–13	-0.01	16%	9 Mar →
ancient	15–15	-0.01	12%	9 Mar →
inferno	13–9	-0.00	23%	8 Mar →
inferno	13–6	0.03	10%	8 Mar →
inferno	6–9	-0.01	21%	8 Mar →
nuke	13–11	-0.03	14%	8 Mar →
inferno	11–13	-0.04	9%	8 Mar →
overpass	9–13	0.01	11%	8 Mar →
inferno	11–13	0.00	14%	18 Feb →
cache_b	13–6	-0.02	13%	16 Feb →
overpass	1–13	-0.03	23%	16 Feb →
nuke	13–4	0.06	16%	14 Feb →
inferno	13–11	0.04	15%	13 Feb →
train	13–7	-0.06	21%	13 Feb →
anubis	10–13	0.02	15%	13 Feb →
inferno	13–6	0.05	15%	13 Feb →
mirage	13–7	0.08	21%	13 Feb →
dust2	13–10	-0.02	28%	11 Feb →
nuke	11–13	-0.00	10%	10 Feb →
cache_b	5–13	-0.03	25%	7 Feb →
ancient	10–13	-0.06	18%	7 Feb →
mirage	9–13	-0.00	39%	7 Feb →
mirage	13–8	-0.03	7%	7 Feb →
mirage	7–13	-0.04	10%	5 Feb →
nuke	13–11	0.01	18%	3 Feb →
inferno	13–2	0.07	28%	3 Feb →
nuke	13–7	0.09	22%	3 Feb →
inferno	13–3	0.09	34%	3 Feb →
inferno	13–6	0.07	17%	2 Feb →
nuke	13–6	-0.01	8%	2 Feb →
mirage	4–13	-0.07	6%	2 Feb →
inferno	9–4	0.10	23%	1 Feb →
nuke	13–6	0.14	14%	31 Jan →
cache_b	4–13	-0.01	23%	31 Jan →
inferno	13–7	0.10	20%	31 Jan →
inferno	3–13	0.03	24%	31 Jan →
overpass	13–9	0.11	19%	29 Jan →
inferno	14–16	-0.01	15%	19 Jan →
inferno	5–13	-0.10	17%	15 Jan →
nuke	6–13	0.02	42%	14 Jan →
inferno	13–9	-0.06	9%	11 Jan →
nuke	13–4	0.01	16%	10 Jan →
nuke	13–4	0.00	13%	10 Jan →
nuke	18–22	-0.00	12%	9 Jan →
inferno	13–5	0.07	16%	9 Jan →
inferno	13–16	-0.04	16%	8 Jan →
nuke	13–2	0.13	16%	7 Jan →
overpass	3–9	-0.15	33%	5 Jan →
inferno	6–9	-0.02	44%	5 Jan →
dust2	19–17	-0.04	21%	4 Jan →
nuke	13–0	-0.01	13%	2 Jan →
train	13–7	-0.01	26%	2 Jan →
inferno	11–13	0.02	21%	2 Jan →
inferno	13–10	0.01	8%	22 Dec →
nuke	13–5	0.03	21%	22 Dec →
nuke	19–17	0.05	12%	21 Dec →