Dr Mantis Toboggan

Dr Mantis Toboggan — CS2 Stats

GB76561198186914698[U:1:226648970]Steam profile ↗✓ No bans

585Tracked matches56%Win rate2020Tracked since
3,214Hours in CS2Hrs last 2 wks
CSDB Rating7.8 StrongPositional Player
Premier CS Rating19,700Top 50% of 215,386 CSDB-tracked playersPurple band · top ~9.7% of ranked players (population est.)
CSDB Leaderboard#91234 of 261575 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (19 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: 19,700 -2,089 25 Jul – 26 Oct · 20 days played
19,70022,379peak 22,37925 Jul26 Oct
22,379Peak Premier in tracked matches
48Days played since 2026-06-13

Premier CS Rating

  • 2,679 below peak (22,379)
  • -887 over 30 days · declining
  • -2,325 over 90 days
  • Next: Pink band at 20,000 — 300 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate65.6%45.7%46.8%above
Shot accuracy20.0%12.7%13.0%above
Kill/death ratio2.211.051.06above
Match win rate39.8%45.7%46.3%6.5% short

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDr Mantis TobogganFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,700 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim94
Positioning84
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52–40–8Last 10052%Win rateLLWWLWLWTT

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −5.4pp headshot accuracy · +2ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 435ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 425ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 31%
  • Avg reaction 424ms

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 (+1.4 against its own average).

Aim9.4
Utility5.5
Positioning8.4
Opening Duels8.0
Clutch6.0

Sharp aimerStrong positioning

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

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

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

Aim9.4
Positioning8.4
Utility5.5
Mechanics6.0
Opening Duels9.1
Win Impact6.9

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.02
first ⅓ avg 0.06 → last ⅓ avg 0.04
Reaction time425ms−68ms
first ⅓ avg 493ms → last ⅓ avg 425ms
Headshot accuracy31.7%−0.2%
first ⅓ avg 32.0% → last ⅓ avg 31.7%

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

0.19Best match rating · 6–13 · inferno, 7 Aug →
57%Best headshot accuracy · 6–13 · inferno, 26 Jul →
289msFastest reaction time · 13–7 · mirage, 26 Oct →
13–0Biggest win · train, 16 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 69% over 13anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
cacheA2415–963%0.06
infernoC197–1237%0.04
mirageS139–469%0.05
ancientD103–730%0.04
anubisD72–529%0.05
overpassS64–267%0.11
nukeB63–350%0.05
trainA53–260%0.05
boulder—32–167%0.03
dust2—32–167%0.06
vertigo—20–20%-0.03
fachwerk—11–0100%-0.00
office—11–0100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

184,899Lifetime kills
2.21K/D · Top 1% of Level 7 players
4,243Matches
39.8%Match win rate
65.6%Headshot % · Top 5% of Level 7 players
20.0%Shot accuracy · Top 5% of Level 7 players
11,343MVPs
1,521Hours (in match)
2,195Bombs planted
847Bombs defused

Most-used weapons

AK-4767,490
AWP27,514
SSG 085,169
P2503,292
Tec-91,982

Lifetime map wins

5,997inferno
2,208dust2
1,796train
794nuke
601cbble
275vertigo
173ar_shoots
128lake

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

Faceit stats

Combat

334Matches
57%Win rate
1.51Avg K/D
92.5ADR
47%Headshot %

Clutches & streaks

50%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Cache425%2.1917.5
Anubis367%1.6219.7
Mirage3100%1.1118.0
Inferno1100%1.8613.0
Nuke10%1.0826.0
Dust21100%0.7512.0
Ancient1100%0.7613.0

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.

31.2%Headshot accuracy
34.2%Accuracy (enemy spotted)
34.4%Spray accuracy
76.8%Counter-strafing
6.2°Preaim
421msReaction time
73.1%T opening success
62.8%CT opening success
0.54Enemies flashed / flash
5.5%Flash assists
7.79HE damage / grenade
8.96Flashes / match

Recommended for you

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0522%1 Nov →
ancient5–130.0323%1 Nov →
train13–70.0235%26 Oct →
mirage13–70.0135%26 Oct →
vertigo11–13-0.0522%24 Oct →
overpass13–30.1740%24 Oct →
inferno9–130.0019%23 Oct →
cache13–70.0519%23 Oct →
inferno12–120.0933%22 Sept →
anubis12–120.0633%22 Sept →
cache5–13-0.0240%20 Sept →
boulder8–130.0213%20 Sept →
ancient12–120.1444%19 Sept →
anubis6–130.1527%19 Sept →
train13–00.0650%16 Sept →
ancient13–10-0.0125%16 Sept →
boulder13–90.0024%14 Sept →
nuke10–130.0033%14 Sept →
mirage13–40.0242%13 Sept →
inferno13–110.0336%13 Sept →
overpass13–70.1328%13 Sept →
cache13–70.1146%9 Sept →
inferno13–100.0131%7 Sept →
fachwerk13–7-0.0022%7 Sept →
cache5–130.0343%7 Sept →
overpass11–130.1044%6 Sept →
nuke13–80.0435%5 Sept →
inferno9–130.0920%3 Sept →
office13–10-0.0029%3 Sept →
train11–130.0335%31 Aug →
inferno6–13-0.0433%31 Aug →
anubis10–13-0.0142%30 Aug →
ancient16–140.0224%29 Aug →
overpass13–20.1543%28 Aug →
cache11–130.0524%28 Aug →
nuke13–4-0.0146%28 Aug →
vertigo12–12-0.0128%27 Aug →
ancient13–60.0522%27 Aug →
mirage13–9-0.0122%26 Aug →
ancient11–130.1045%25 Aug →
train3–130.0842%25 Aug →
anubis13–80.0824%24 Aug →
inferno12–12-0.0220%24 Aug →
ancient9–10-0.0311%24 Aug →
train13–70.0941%24 Aug →
dust213–80.0738%23 Aug →
overpass13–20.0621%23 Aug →
mirage7–130.0543%23 Aug →
inferno11–20.0143%23 Aug →
boulder13–90.0617%23 Aug →
cache13–80.0622%22 Aug →
mirage13–50.0637%22 Aug →
ancient11–130.0420%21 Aug →
overpass4–130.0334%21 Aug →
cache13–30.1537%21 Aug →
anubis13–80.0524%21 Aug →
inferno5–13-0.0226%21 Aug →
cache13–20.1320%19 Aug →
inferno11–130.0844%9 Aug →
inferno6–130.1950%7 Aug →
cache15–150.0939%2 Aug →
inferno10–130.0240%1 Aug →
mirage13–10-0.0122%31 Jul →
cache13–20.1541%26 Jul →
inferno6–130.0257%26 Jul →
anubis9–13-0.0020%25 Jul →
nuke5–130.0839%25 Jul →
inferno13–3-0.0223%25 Jul →
mirage13–10.0127%25 Jul →
dust21–130.0230%24 Jul →
nuke8–130.0347%24 Jul →
cache13–20.0731%24 Jul →
ancient9–130.0620%24 Jul →
mirage13–40.1930%24 Jul →
mirage8–30.0828%22 Jul →
inferno7–130.0433%22 Jul →
mirage10–130.0831%21 Jul →
cache13–60.0320%20 Jul →
mirage6–13-0.0132%20 Jul →
nuke13–00.1753%17 Jul →
dust213–110.0835%17 Jul →
anubis4–130.0225%17 Jul →
ancient4–13-0.029%13 Jul →
cache16–140.0335%13 Jul →
cache13–40.1043%10 Jul →
inferno13–10.1411%10 Jul →
mirage11–130.0146%10 Jul →
inferno13–60.0245%6 Jul →
cache10–130.0842%6 Jul →
cache10–13-0.0020%4 Jul →
cache10–130.0343%4 Jul →
cache13–60.1043%26 Jun →
cache13–90.0532%26 Jun →
mirage13–10.1640%24 Jun →
inferno13–70.1217%24 Jun →
cache12–12-0.0327%24 Jun →
cache12–120.0333%17 Jun →
cache13–80.0533%14 Jun →
cache13–20.0735%14 Jun →
cache13–110.0437%13 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.