MAnTa

MAnTa — CS2 Stats

76561197994425102[U:1:34159374]Steam profile ↗✓ No bans

1,636Tracked matches57%Win rate2023Tracked since
CSDB Rating3.7 LearningPositional Player
Premier CS Rating8,436Light Blue band · top ~62.4% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). 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: 8,436 +2,573 15 Aug – 1 Oct · 27 days played
4,9998,436peak 8,43615 Aug1 Oct
8,436Peak Premier in tracked matches
35Days played since 2026-08-15

Premier CS Rating

  • At peak — 8,436
  • +3,380 over 30 days · improving
  • Next: Blue band at 10,000 — 1,564 to go
  • Reached: Light Blue band
  • Light Blue 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.

Share this profile

CSDB.GGMAnTaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER8,436 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning41
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWTLTLWWWWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.4pp headshot accuracy · +21ms 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 681ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 675ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 665ms

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 (+1.1 against its own average).

Aim4.0
Utility3.3
Positioning4.1
Opening Duels0.7
Clutch4.0

Limited 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.

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 663ms 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

Aim4.0
Positioning4.1
Utility3.3
Mechanics4.6
Opening Duels1.6
Win Impact7.4

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time662ms−5ms
first ⅓ avg 667ms → last ⅓ avg 662ms
Headshot accuracy12.3%−0.7%
first ⅓ avg 13.0% → last ⅓ avg 12.3%

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

0.10Best match rating · 5–13 · mirage, 18 Sept →
24%Best headshot accuracy · 13–5 · inferno, 27 Sept →
430msFastest reaction time · 13–11 · inferno, 11 Sept →
13–1Biggest win · nuke, 23 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 75% over 8ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%-0.02
nukeB2010–1050%-0.02
dust2C146–843%-0.01
mirageC125–742%0.01
anubisC125–742%-0.01
cacheS86–275%-0.01
ancientD82–625%-0.01
trainC52–340%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

414Matches
47%Win rate
0.85Avg K/D
72.7ADR
31%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5843%1.0314.1
Nuke5351%1.0413.2
Ancient4450%0.8412.0
Inferno2654%0.8812.4
Anubis2361%0.8512.7
Dust21947%0.8313.1
Vertigo1953%0.8412.9
Overpass743%0.6613.6

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.

12.9%Headshot accuracy
35.0%Accuracy (enemy spotted)
32.4%Spray accuracy
70.7%Counter-strafing
11.5°Preaim
663msReaction time
37.9%T opening success
34.6%CT opening success
0.42Enemies flashed / flash
3.5%Flash assists
4.78HE damage / grenade
4.22Flashes / 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.

  1. 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 12.9132% — below the 15% mark we flag

    Aim Training →
  2. 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 0.419 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.9363% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0313%1 Oct →
nuke12–12-0.0316%30 Sept →
mirage9–13-0.0110%29 Sept →
dust215–15-0.0313%28 Sept →
nuke9–13-0.0416%28 Sept →
mirage13–50.0118%27 Sept →
inferno13–5-0.0124%27 Sept →
inferno13–30.080%27 Sept →
nuke13–10-0.0212%27 Sept →
anubis13–30.036%27 Sept →
cache11–130.037%27 Sept →
cache13–9-0.0317%27 Sept →
inferno13–80.088%26 Sept →
anubis2–13-0.0417%26 Sept →
mirage16–13-0.0021%26 Sept →
ancient14–16-0.0412%26 Sept →
cache13–110.0122%26 Sept →
inferno16–14-0.034%25 Sept →
nuke13–7-0.0818%25 Sept →
anubis13–80.056%24 Sept →
inferno10–13-0.0616%24 Sept →
mirage5–13-0.0115%24 Sept →
dust213–60.0215%24 Sept →
nuke13–10.094%23 Sept →
ancient7–13-0.048%23 Sept →
mirage14–16-0.0011%22 Sept →
ancient10–130.0517%21 Sept →
inferno13–7-0.0013%21 Sept →
nuke8–13-0.0310%20 Sept →
inferno9–13-0.0313%20 Sept →
inferno15–15-0.116%20 Sept →
dust213–11-0.0618%20 Sept →
anubis13–5-0.020%20 Sept →
dust214–16-0.0514%19 Sept →
anubis13–110.0615%19 Sept →
mirage5–130.1021%18 Sept →
nuke5–13-0.0714%17 Sept →
ancient11–13-0.0614%17 Sept →
nuke13–30.0110%17 Sept →
inferno9–13-0.0414%17 Sept →
ancient13–40.0511%17 Sept →
anubis10–13-0.0911%17 Sept →
mirage11–13-0.0610%16 Sept →
inferno3–9-0.0822%16 Sept →
nuke13–6-0.0113%15 Sept →
dust213–90.019%15 Sept →
cache13–90.0112%15 Sept →
nuke13–60.0612%15 Sept →
dust26–130.0312%14 Sept →
ancient5–13-0.0211%14 Sept →
inferno13–10-0.0514%13 Sept →
dust210–130.0414%13 Sept →
inferno5–13-0.005%11 Sept →
anubis15–15-0.029%11 Sept →
inferno13–11-0.0510%11 Sept →
inferno13–10-0.019%11 Sept →
dust23–13-0.0311%9 Sept →
cache13–11-0.0516%9 Sept →
dust215–150.0414%6 Sept →
nuke13–7-0.059%6 Sept →
inferno13–60.0220%6 Sept →
inferno13–9-0.0215%6 Sept →
cache13–100.026%5 Sept →
nuke13–70.0116%5 Sept →
ancient13–9-0.034%5 Sept →
mirage13–20.1017%5 Sept →
inferno13–8-0.024%5 Sept →
anubis13–50.054%4 Sept →
ancient10–130.0212%4 Sept →
dust212–120.0321%3 Sept →
mirage13–100.0114%3 Sept →
nuke7–13-0.0615%3 Sept →
mirage6–13-0.0718%2 Sept →
dust213–6-0.0415%1 Sept →
cache13–80.0313%1 Sept →
nuke8–13-0.0421%31 Aug →
nuke9–13-0.0210%30 Aug →
dust213–9-0.079%30 Aug →
mirage7–13-0.0111%30 Aug →
anubis1–13-0.058%30 Aug →
mirage13–9-0.0012%20 Aug →
nuke6–13-0.058%19 Aug →
nuke1–6-0.0013%19 Aug →
train9–13-0.0412%18 Aug →
train5–130.0117%18 Aug →
dust210–13-0.0617%18 Aug →
cache8–13-0.0810%18 Aug →
inferno5–13-0.059%17 Aug →
train13–9-0.0813%17 Aug →
train2–13-0.1513%17 Aug →
train13–70.0221%17 Aug →
anubis4–130.0114%16 Aug →
nuke13–3-0.047%16 Aug →
nuke2–13-0.057%16 Aug →
inferno11–130.0113%16 Aug →
anubis7–130.019%15 Aug →
dust213–80.0023%15 Aug →
nuke13–10-0.053%15 Aug →
inferno8–13-0.0621%15 Aug →
anubis3–13-0.0519%15 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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