Msaia — CS2 Stats

IT76561198143458644[U:1:183192916]Steam profile ↗✓ No bans

2,973Tracked matches46%Win rate2020Tracked since

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating27,536Top 10% of 819 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)

CSDB Leaderboard#124 of 3272 tracked

FaceitLevel 10 · 3,214 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

27,536Peak Premier on CSDB

3,214Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 3,214
Next: 3,500 ELO at 3,500 — 286 to go
Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
3,000 ELO first seen 2026-08-28
2,500 ELO first seen 2026-08-28

Premier CS Rating

At peak — 27,536
Next: Gold band at 30,000 — 2,464 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim95

Positioning63

Utility57

0–100 skill scores via Leetify.

Recent form

COLD53–43–4Last 10053%Win rateWLLLLTLLLW

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim9.5

Aggression7.3

Utility5.7

Positioning6.3

Opening Duels3.8

Clutch3.4

Sharp aimerExcellent counter-strafing

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 96% playstyle similarity

Most alike: aim profile, positioning 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

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.

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

Utility5.7

Mechanics9.5

Opening Duels3.8

Win Impact3.8

Composite 7.5/10 (Strong), 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 rating0.02−0.04

first ⅓ avg 0.06 → last ⅓ avg 0.02

Reaction time532ms−73ms

first ⅓ avg 605ms → last ⅓ avg 532ms

Headshot accuracy27.2%−3.4%

first ⅓ avg 30.6% → last ⅓ avg 27.2%

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 — inferno 13–3

13–2Biggest win — inferno

8Longest win streak

4–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 67% over 18dust2Weakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	9–10	47%	0.03
ancient	S	18	12–6	67%	0.03
nuke	S	12	8–4	67%	0.05
anubis	B	12	6–6	50%	0.05
inferno	C	11	4–7	36%	0.04
dust2	D	11	3–8	27%	0.05
cache	S	6	4–2	67%	0.01
train	—	4	2–2	50%	0.04
vertigo	—	3	2–1	67%	0.04
italy	—	1	0–1	0%	-0.04
boulder	—	1	1–0	100%	0.01
overpass	—	1	1–0	100%	0.04
shelter	—	1	1–0	100%	0.18

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,454Matches

56%Win rate

1.24Avg K/D

81.3ADR

57%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	366	52%	1.20	17.1
Ancient	297	56%	1.17	16.4
Anubis	238	59%	1.31	17.4
Dust2	174	51%	1.14	16.9
Nuke	99	57%	1.12	15.5
Inferno	62	53%	1.15	15.3
Train	56	61%	1.20	17.2
Vertigo	30	57%	1.37	18.5

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.

26.9%Headshot accuracy

39.3%Accuracy (enemy spotted)

38.6%Spray accuracy

92.9%Counter-strafing

7.4°Preaim

523msReaction time

39.5%T opening success

51.2%CT opening success

0.63Enemies flashed / flash

10.9%Flash assists

6.76HE damage / grenade

11.11Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.02	22%	27 Aug →
ancient	6–8	-0.08	15%	27 Aug →
ancient	3–5	-0.05	21%	27 Aug →
inferno	5–11	-0.07	13%	26 Aug →
ancient	10–13	-0.04	14%	26 Aug →
inferno	2–2	0.02	33%	26 Aug →
nuke	11–13	0.09	67%	25 Aug →
italy	9–13	-0.04	32%	25 Aug →
dust2	7–13	0.02	33%	22 Aug →
mirage	13–5	0.10	25%	21 Aug →
cache	13–8	0.03	27%	21 Aug →
inferno	13–3	0.20	34%	21 Aug →
nuke	13–10	-0.03	28%	21 Aug →
ancient	13–4	0.01	19%	20 Aug →
mirage	13–5	0.02	24%	19 Aug →
inferno	7–13	-0.05	36%	16 Aug →
mirage	10–13	0.01	20%	16 Aug →
mirage	13–10	0.02	20%	16 Aug →
mirage	6–13	0.01	39%	15 Aug →
inferno	6–13	0.08	46%	15 Aug →
ancient	11–13	0.08	34%	15 Aug →
vertigo	13–5	0.01	33%	14 Aug →
train	10–13	-0.03	22%	14 Aug →
inferno	0–6	-0.10	8%	12 Aug →
mirage	12–12	-0.01	12%	12 Aug →
anubis	13–7	0.01	27%	12 Aug →
ancient	13–6	0.07	26%	12 Aug →
cache	8–13	-0.03	28%	8 Aug →
anubis	13–5	0.16	31%	8 Aug →
mirage	13–10	0.12	29%	8 Aug →
train	4–13	0.02	25%	8 Aug →
nuke	7–13	0.08	32%	6 Aug →
dust2	13–6	0.02	24%	6 Aug →
ancient	13–11	0.02	23%	5 Aug →
dust2	13–8	0.03	16%	5 Aug →
mirage	8–13	0.01	32%	5 Aug →
nuke	9–13	0.00	26%	4 Aug →
dust2	13–4	0.19	21%	4 Aug →
anubis	5–13	-0.00	45%	3 Aug →
dust2	13–16	-0.01	21%	3 Aug →
ancient	13–5	0.07	14%	2 Aug →
mirage	9–13	-0.02	41%	2 Aug →
boulder	13–5	0.01	25%	31 Jul →
dust2	8–13	0.01	24%	31 Jul →
vertigo	9–0	0.02	25%	31 Jul →
overpass	13–6	0.04	21%	31 Jul →
mirage	9–13	-0.05	35%	30 Jul →
anubis	13–11	0.02	28%	30 Jul →
vertigo	7–13	0.09	32%	29 Jul →
ancient	8–13	0.04	49%	29 Jul →
mirage	7–13	-0.00	17%	29 Jul →
anubis	9–13	0.13	26%	29 Jul →
cache	1–13	-0.05	21%	29 Jul →
nuke	16–13	0.01	22%	29 Jul →
inferno	13–7	0.04	41%	29 Jul →
ancient	13–4	0.04	30%	28 Jul →
nuke	13–11	0.02	28%	28 Jul →
cache	13–7	0.06	40%	28 Jul →
mirage	12–16	-0.07	23%	27 Jul →
anubis	13–4	0.04	16%	27 Jul →
ancient	13–10	0.06	26%	27 Jul →
mirage	5–13	0.05	44%	25 Jul →
anubis	12–12	0.01	16%	25 Jul →
ancient	13–10	0.04	25%	25 Jul →
anubis	10–13	-0.01	22%	25 Jul →
nuke	13–5	0.07	38%	24 Jul →
ancient	13–3	0.04	21%	24 Jul →
ancient	13–11	0.02	26%	20 Jul →
anubis	12–12	0.04	27%	20 Jul →
nuke	13–7	0.03	29%	20 Jul →
inferno	13–2	0.15	57%	20 Jul →
ancient	13–7	0.13	27%	18 Jul →
nuke	13–9	0.14	27%	18 Jul →
train	13–5	0.03	31%	18 Jul →
mirage	13–3	0.16	27%	18 Jul →
inferno	13–5	0.05	25%	18 Jul →
anubis	13–10	0.07	27%	17 Jul →
inferno	8–13	0.04	21%	17 Jul →
dust2	6–13	0.08	25%	17 Jul →
ancient	13–5	0.11	39%	17 Jul →
cache	13–8	-0.01	29%	15 Jul →
mirage	13–5	0.10	34%	9 Jul →
shelter	13–7	0.18	50%	9 Jul →
anubis	3–13	0.04	29%	9 Jul →
mirage	13–7	0.02	27%	8 Jul →
cache	13–3	0.04	27%	6 Jul →
nuke	13–10	0.01	42%	6 Jul →
ancient	8–13	-0.01	17%	6 Jul →
dust2	11–13	-0.03	26%	6 Jul →
inferno	7–9	0.08	39%	4 Jul →
dust2	10–13	0.03	38%	3 Jul →
mirage	11–13	0.03	22%	3 Jul →
ancient	13–3	0.04	28%	1 Jul →
dust2	1–13	0.03	47%	1 Jul →
nuke	11–13	-0.00	28%	30 Jun →
anubis	13–10	0.04	21%	29 Jun →
nuke	13–2	0.13	32%	29 Jun →
train	13–2	0.14	29%	29 Jun →
dust2	9–13	0.14	33%	28 Jun →
mirage	13–3	0.04	21%	28 Jun →